Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.
Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check.
Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering.
This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside them. Most of your time, though, goes into building and hardening the systems that make that work repeatable, not into writing recommendations or configuring someone else's product. A science or engineering background is a big plus, but what matters most is that you can earn the trust of expert researchers, turn a fuzzy problem into something concrete and checkable, and ship.
Responsibilities
Build the agent harnesses and research loops that let Claude carry a problem from literature review through hypothesis generation, simulation, analysis, and design iteration
Connect scientific computing and simulation tools (finite element, CFD, electromagnetic, or molecular modeling codes, for example) so Claude can drive them reliably and at scale
Design and build evaluations that tell us whether Claude's work is actually right, and be honest about where it isn't
Sit with scientists and engineers at partner organizations to learn their problem, data, tools, and constraints, and turn open-ended questions into well-specified, verifiable tasks with clear success criteria
Prototype with partners, ship pilots into their workflows, and cut anything that doesn't move the problem forward
Turn what works in one engagement into shared tools, reusable components, and documented processes the next one can start from
Be the technical voice on how Claude performs on science and engineering work, explaining results, limits, and tradeoffs clearly to researchers, engineering leads, and non-technical stakeholders alike
Partner with our research and product teams to share where models fall short on science and engineering work, and help shape what comes next
You may be a good fit if you
Have 8+ years of experience building software, with strong engineering fundamentals and comfort across the stack, from data pipelines to tooling to quick interfaces
Have built real systems with large language models, including agents, tool use, or evaluations
Have worked on technical problems in a science or engineering field, such as physics, materials, chemistry, or electrical or mechanical engineering
Have a track record of zero-to-one work in startup or startup-like environments\
Can work directly with expert users, understand their workflows deeply, and still keep the focus on building the right system rather than the one first requested
Have good judgment about what can and can't be verified, and are comfortable saying a result isn't good enough yet
Bring high agency, pick up new domains quickly, and hold strong opinions loosely
Communicate clearly with researchers, engineers, and external partners, and care about the societal impacts of your work
Strong candidates may also have
An advanced degree or research experience in a physical science or engineering field
Hands-on experience with scientific computing and simulation, numerical methods, or optimization
Experience in industrial R&D, a national lab, or a deep-tech company in areas like energy, materials, manufacturing, or hardware
Experience building alongside customers or technical partners, for example in forward-deployed, applied AI, or solutions engineering roles, ideally where you also owned the software that came out of it
Experience with ML research, RL environments, or evaluation design
Candidates need not have
100% of the skills listed above
Formal certifications or education credentials
Expertise in every scientific domain we work in
Direct machine learning or AI research experience
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
to join our team and lead the implementation and enhancement of the Voice of Customer (VoC) module within Microsoft Dynamics 365. Develop and maintain the Voice of Customer (VoC) module within Microsoft Dynamics 365 to capture, analyze and act on customer feedback.
Location: Aberdeen, United Kingdom
Location
: Offshore / Worldwide Operations
Reports To
: Operations Manager / Marine Manager
Start Date
: Immediate
Interocean is seeking a highly experienced Jack-Up Rig Mover to join our team for operations in Worldwide. The Jack-Up Rig Move Specialist is responsible for planning, coordinating, supervising, and executing safe and efficient jack-up rig moves. The role provides technical expertise throughout all phases of rig relocation, including feasibility studies, route assessment, pre-load monitoring, jack-up and jack-down operations, towing activities, and post-move reporting. The position ensures compliance with client requirements, industry standards, and company safety procedures.
Key Responsibilities:
Lead and supervise jack-up rig move operations from planning through completion.
Develop rig move procedures, method statements, and risk assessments.
Conduct location assessments, environmental reviews, and seabed evaluations.
Review geotechnical, bathymetric, and metocean data to determine site suitability.
Coordinate with clients, vessel owners, marine warranty surveyors, and offshore personnel.
Provide technical guidance during jack-up, transit, positioning, and jack-down activities.
Monitor towing operations and ensure compliance with approved rig move procedures.
Assess rig leg penetration, footing capacities, punch-through risks, and air gap requirements.
Participate in HAZID, HAZOP, SIMOPS, and pre-job planning meetings.
Ensure all operations are conducted in accordance with applicable regulations, industry best practices, and company management systems.
Maintain accurate operational records and prepare detailed rig move reports.
Investigate incidents, near misses, and operational anomalies when required.
Mentor junior personnel and offshore teams on rig move planning and execution.
Requirements
Essential Qualifications
Degree or equivalent qualification in Marine Engineering, Nautical Science, Marine Operations, or a related discipline.
Recognised offshore survival and medical certification.
Valid industry-standard offshore training certificates relevant to operating region.
Experience
Minimum 10 years' experience in offshore marine operations.
Significant experience planning and executing jack-up rig moves.
Proven experience working with independent-leg cantilever and slot jack-up rigs.
Experience reviewing geotechnical and geophysical survey data.
Experience coordinating with Marine Warranty Surveyors and regulatory bodies.
Familiarity with international offshore drilling operations.
Technical Knowledge
Jack-up rig stability and structural limitations.
Rig move analysis and feasibility studies.
Towing operations and marine assurance processes.
Seabed hazards and geotechnical interpretation.
Marine navigation and positioning systems.
Offshore safety management systems.
Risk assessment and emergency response procedures.
Key Competencies
Strong leadership and decision-making skills.
Excellent planning and organisational ability.
Effective communication and stakeholder management.
High level of situational awareness and safety focus.
Ability to work under pressure in dynamic offshore environments.
Strong analytical and problem-solving skills.
Benefits
Competitive compensation package
Supportive team culture
Location: Kraków, Poland; Warsaw, Poland
[EN]
We're looking for a
Associate Technical Director
with a strong technical background and production expertise to lead the development of multiple mobile projects for one of our partners.
In this role, you will be the key stakeholder for technical execution, collaborating with internal teams and external partners to ensure high-quality standards and production efficiency. You will act as an independent auditor, consultant, and technology owner, reporting directly to the Head of Engineering.
This position is an excellent opportunity for a Technical Lead or Project Lead to step into a Director-level role within a well-established environment.
[PL]
Poszukujemy osoby na stanowisko
Zastępcy Dyrektora Technicznego (Associate Technical Director)
z silnym zapleczem technicznym i doświadczeniem produkcyjnym, która pokieruje rozwojem wielu projektów mobilnych dla jednego z naszych partnerów.
W tej roli będziesz kluczową osobą decyzyjną (key stakeholder) w zakresie realizacji technicznej, współpracując z zespołami wewnętrznymi oraz partnerami zewnętrznymi w celu zapewnienia najwyższych standardów jakości i efektywności produkcji. Będziesz działać jako niezależny audytor, konsultant oraz właściciel technologii (technology owner), raportując bezpośrednio do Head of Engineering.
To stanowisko to doskonała okazja dla obecnych Technical Lead'ów lub Project Lead'ów na awans oraz przejście na poziom dyrektorski (Director-level) w stabilnym, dobrze ugruntowanym środowisku.
[EN]
Responsibilities:
Direct technical aspects of development and production, oversee quality management.
Promote best practices, technical standards, and the adoption of relevant tools.
Identify technical risks early and provide proactive solutions.
Define and drive the strategy for core project technology (shared engine, tools, and build system).
Mentor Leads and guide Senior Engineers on technology choices, architecture, and design decisions.
Make hiring decisions for Senior and Lead candidates.
Contribute to the assessment of new project opportunities and bid proposals.
Provide necessary support for project kickoffs, including advising on team composition.
Initiate knowledge-sharing sessions for software engineers across the department.
Represent and promote the Company during customer calls, on-site visits, and industry events.
[PL]
Obowiązki:
Kierowanie rozwojem technicznym i produkcyjnym gier oraz nadzór nad zarządzaniem jakością.
Promowanie najlepszych praktyk, standardów technicznych oraz wdrażania odpowiednich narzędzi.
Wczesne identyfikowanie ryzyk technicznych i dostarczanie proaktywnych rozwiązań.
Definiowanie i realizacja strategii w zakresie kluczowych technologii projektowych (wspólny silnik, narzędzia i systemy budowania wersji/build system).
Mentoring Leadów oraz wspieranie Senior Engineerów w podejmowaniu decyzji technologicznych, architektonicznych i projektowych.
Podejmowanie decyzji rekrutacyjnych w odniesieniu do kandydatów na stanowiska Senior i Lead.
Udział w ocenie nowych możliwości projektowych oraz przygotowywaniu ofert przetargowych (bid proposals).
Zapewnianie niezbędnego wsparcia przy startach projektów (kickoffs), w tym doradztwo w kwestii doboru składu zespołu.
Inicjowanie sesji wymiany wiedzy (knowledge-sharing) dla inżynierów oprogramowania w całym dziale.
Reprezentowanie i promowanie firmy podczas rozmów z klientami, wizyt na miejscu (on-site) oraz wydarzeń branżowych.
Requirements
[EN]
7+ years of professional software development experience.
2+ years of experience leading an entire game development team of 8+ software engineers.
Professional development experience in C++.
Proven experience with mobile development, publishing, and platform limitations (hardware, software, and dependencies).
Significant development experience in the following domains: UI, Gameplay, Engine).
Significant experience fixing low-level issues (memory, multi-threading, obscure crashes).
Experience with task planning, estimation, and tracking.
Experience mentoring or hiring Senior engineers.
Familiarity with Art and Production workflows within game development.
Strong organizational and communication skills.
Professional fluency in English (spoken and written).
Passion for gaming.
Would be a plus:
Development experience in AAA games.
Professional experience with Unreal Engine.
Proficiency in Python, C#, Java, or TypeScript.
Strong skills in performance and memory optimization.
Experience with back-end development.
Experience setting up CI/CD tools (e.g., TeamCity, Jenkins).
Experience managing VCS branch structure, preferably in Perforce.
Experience with Console development and certification (PlayStation, Xbox, Nintendo Switch).
Experience working within globally distributed teams.
Experience working with external outsourcing partners.
Live Service game ownership experience.
Product owner mindset.
Deep understanding of management methodologies (Scrum, Waterfall).
[PL]
Wymagania:
Ponad 7 lat profesjonalnego doświadczenia w tworzeniu oprogramowania.
Ponad 2 lata doświadczenia w zarządzaniu całym zespołem deweloperskim (8+ programistów).
Profesjonalne doświadczenie w programowaniu w C++.
Udokumentowane doświadczenie w tworzeniu, wydawaniu i wydawaniu gier mobilnych oraz znajomość ograniczeń platformowych (sprzęt, oprogramowanie i zależności).
Znaczące doświadczenie programistyczne w obszarach: UI, Gameplay, Engine (silnik gry).
Znaczące doświadczenie w rozwiązywaniu problemów niskopoziomowych (pamięć, wielowątkowość, nietypowe awarie/crashe).
Doświadczenie w planowaniu, szacowaniu (estymacji) i śledzeniu postępu zadań.
Doświadczenie w mentoringu oraz rekrutacji starszych programistów (Senior Engineers).
Znajomość procesów roboczych (workflows) w obszarach grafiki (Art) i produkcji gier.
Bardzo dobre umiejętności organizacyjne i komunikacyjne.
Biegła znajomość języka angielskiego w mowie i pismie.
Pasja do gier wideo.
Mile widziane:
Doświadczenie w tworzeniu gier klasy AAA.
Profesjonalne doświadczenie w pracy z Unreal Engine.
Biegła znajomość Python, C#, Java lub TypeScript.
Zaawansowane umiejętności w zakresie optymalizacji wydajności i wykorzystania pamięci.
Doświadczenie w tworzeniu rozwiązań backendowych.
Doświadczenie w konfiguracji narzędzi CI/CD (np. TeamCity, Jenkins).
Doświadczenie w zarządzaniu strukturą gałęzi w systemach kontroli wersji (VCS), preferowanie Perforce.
Doświadczenie w tworzeniu gier na konsole oraz znajomość procesu certyfikacji (PlayStation, Xbox, Nintendo Switch).
Doświadczenie w pracy w zespołach rozproszonych globalnie.
Doświadczenie we współpracy z zewnętrznymi partnerami outsourcingowymi.
Doświadczenie w zarządzaniu cyklem życia gier typu Live Service.
Nastawienie typu
Product Owner
.
Głębokie rozumienie metodologii zarządzania projektami (Scrum, Waterfall).
Benefits
[EN]
Cooperating with an international team of world-class professionals on exciting and challenging projects
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events
[PL]
Kooperacja w międzynarodowym zespole światowej klasy profesjonalistów przy ekscytujących i pełnych wyzwań projektach
Możliwości nauki i rozwoju: mentoring, wykłady, udział w konferencjach i wydarzeniach branżowych
Location: Yerevan, Armenia
We're looking for a
Associate Technical Director
with a strong technical background and production expertise to lead the development of multiple mobile projects for one of our partners.
In this role, you will be the key stakeholder for technical execution, collaborating with internal teams and external partners to ensure high-quality standards and production efficiency. You will act as an independent auditor, consultant, and technology owner, reporting directly to the Head of Engineering.
This position is an excellent opportunity for a Technical Lead or Project Lead to step into a Director-level role within a well-established environment.
Responsibilities:
Direct technical aspects of development and production, oversee quality management.
Promote best practices, technical standards, and the adoption of relevant tools.
Identify technical risks early and provide proactive solutions.
Define and drive the strategy for core project technology (shared engine, tools, and build system).
Mentor Leads and guide Senior Engineers on technology choices, architecture, and design decisions.
Make hiring decisions for Senior and Lead candidates.
Contribute to the assessment of new project opportunities and bid proposals.
Provide necessary support for project kickoffs, including advising on team composition.
Initiate knowledge-sharing sessions for software engineers across the department.
Represent and promote the Company during customer calls, on-site visits, and industry events.
Requirements
7+ years of professional software development experience.
2+ years of experience leading an entire game development team of 8+ software engineers.
Professional development experience in C++.
Proven experience with mobile development, publishing, and platform limitations (hardware, software, and dependencies).
Significant development experience in the following domains: UI, Gameplay, Engine).
Significant experience fixing low-level issues (memory, multi-threading, obscure crashes).
Experience with task planning, estimation, and tracking.
Experience mentoring or hiring Senior engineers.
Familiarity with Art and Production workflows within game development.
Strong organizational and communication skills.
Professional fluency in English (spoken and written).
Passion for gaming.
Would be a plus:
Development experience in AAA games.
Professional experience with Unreal Engine.
Proficiency in Python, C#, Java, or TypeScript.
Strong skills in performance and memory optimization.
Experience with back-end development.
Experience setting up CI/CD tools (e.g., TeamCity, Jenkins).
Experience managing VCS branch structure, preferably in Perforce.
Experience with Console development and certification (PlayStation, Xbox, Nintendo Switch).
Experience working within globally distributed teams.
Experience working with external outsourcing partners.
Live Service game ownership experience.
Product owner mindset.
Deep understanding of management methodologies (Scrum, Waterfall).
Benefits
Cooperating with an international team of world-class professionals on exciting and challenging projects
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE ROLE
Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale.
As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost.
This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure.
WHAT YOU'LL DO
- Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure.
- Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales.
- Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads.
- Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity.
- Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost.
- Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run.
- Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads.
- Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams.
WHAT YOU'LL BRING
- Deep systems thinking and strong distributed systems fundamentals.
- Experience designing, building, and operating large-scale production systems.
- Strong judgment around tradeoffs involving latency, reliability, capacity, and cost.
- Experience taking ownership of complex infrastructure from architecture through production operation.
- Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves.
EVEN BETTER
- Experience with ML infrastructure, MLOps, or production inference systems.
- Experience serving LLMs or other large models at scale.
- Experience operating self-hosted inference and GPU infrastructure.
- Familiarity with inference frameworks such as vLLM or SGLang.
- Experience with post-training infrastructure or inference-performance optimization.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.
EXAMPLE INITIATIVES
You'll get to work on these types of projects on our Inference Platform:
- The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/
- 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/
- How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid
RESPONSIBILITIES
- Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management.
- Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving.
- Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication.
- Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence.
- Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability.
- Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure.
- Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns.
- A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations.
- Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management.
- Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals.
- A strong sense of developer experience. You think about how systems are used, not just how they work.
- Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus.
- Excellent written communication and collaboration skills, including writing clear design docs and working across functions.
NICE TO HAVE
- Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo.
- Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways.
- Experience with distributed scheduling, autoscaling, or service orchestration.
- Experience operating GPU workloads in production.
- A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems.
- Familiarity with observability tooling, CI/CD systems, or release automation.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as an Inference Performance engineer:
- Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/
- How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/
- Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks
- Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/
- The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
- Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/
RESPONSIBILITIES
- Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms.
- Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel.
- Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs.
- Bring up and tune new model architectures on new hardware quickly, often in the same week they're released.
- Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations.
- Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Experience with one or more general-purpose programming languages, such as Python or C++.
- Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
- Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
- Demonstrated interest and experience in LLMs.
- Deep understanding of GPU architecture.
NICE TO HAVE
- Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs)
- Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine.
- Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity.
- Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar)
- Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production.
- Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance.
WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device.
RESPONSIBILITIES:
- Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation
- Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints
- Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures
- Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems
- Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products
- Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power
QUALIFICATIONS:
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience
- Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data
- Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation
- Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces
- Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition
- Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods
- Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it.
You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services.
Responsibilities
Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office
Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically
Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace
Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain
Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans
Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person
Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land
Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers
Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards
Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap
You May Be a Good Fit If You:
Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on
Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting
Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability
Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them
Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure
Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly
Have defined engineering practices for a team, especially one where most contributors aren't developers
Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built
Thrive in a fast-moving environment where standards are being written rather than inherited
Strong Candidates May Also Have Experience With:
Q-SYS Lua scripting and plugin development
Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK
Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code
Jira, Slack, and PagerDuty APIs and automation
Crestron, Extron, or other control system programming
Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS
Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations
Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment
Q-SYS Level 2, CTS, or equivalent demonstrated capability
Role Specific Location Policy:
This role will be based in our San Francisco or New York City office
This role is expected to be in office 50% of the time
Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing
Business-hours escalation coverage for the tools and platforms this role owns
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$206,699
—
$232,536.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$227,803.50
—
$284,757.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area.
The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives.
The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward.
About the Team
The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute.
In this role, you can expect to:
Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product.
Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders.
Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates.
Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product.
Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute.
Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk.
Actively contribute to technical design and implementation alongside the team.
Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems.
Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems.
Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community.
Mandatory skills
Experience leading teams through multiple concurrent priorities and diverse integration points.
Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader.
Ability to lead or facilitate system design from problem definition through implementation and delivery.
Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs.
Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality.
A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details.
You are a good fit if you have:
Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration.
Worked on products with substantial technical complexity, integration surfaces, or platform dependencies.
Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions.
Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required.
The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth.
A track record of developing strong engineers while maintaining a high technical bar.
Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve.
You’ll have an edge if you have:
Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms.
Experience building or operating data transformation, orchestration, warehouse, or execution systems.
Contributions to open-source projects or experience working with open standards and open technical communities.
Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies.
Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features.
Experience working in a remote-first or distributed organization with strong written communication practices.
Startup or scale-up experience and comfort wearing multiple hats while the organization evolves.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$240,901
—
$301,126.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Berlin
Workplace: OnSite
ABOUT PEEC AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
ABOUT THE ROLE
We’re looking for an AI Search Strategist to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with leading brands and agencies, onboarding new clients and advising them on how to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine deep SEO expertise with a consultative approach, analyzing websites and search performance, running strategic advisory sessions, and translating business goals into actionable organic growth strategies. Working closely with Sales, Growth, and Product, you’ll also help shape how we enable customers and define best practices for succeeding in AI-powered search.
WHAT YOU’LL DO
- Onboard and activate new key clients, and educate them on how to best leverage Peec AI to become top-ranked in AI search
- Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces)
- Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps
- Collaborate closely with Sales, Growth, and Product to refine activation journeys, case studies, and customer enablement programs
- Consult our mid-sized and enterprise clients on GEO-related topics, from overall strategy to hands-on operational execution
WHAT WE’RE LOOKING FOR
- 3–5 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency
- Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes
- Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking
- Ability to explain SEO concepts in simple, actionable language for marketing and brand teams
- Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change
- Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations
BONUS POINTS
- Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients
- Initial experience with AI search
- Background working with enterprise and other high-touch clients
- Experience in a high-growth, venture-backed SaaS or marketing tech environment
- Confident verbal and written communication skills in German for high-quality client calls, workshops, and written recommendations
WHAT WE OFFER
- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and offsites
- Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside
- Paid Meal and Uber rides home when working late
- One of the most beautiful office spaces and work environments in Berlin
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems.
Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA.
We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream.
WHAT YOU'LL WORK ON:
- Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads
- Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads
- Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime
- Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling
- Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage
- Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware
- Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation
- Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability
- Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment
YOU MAY BE A FIT IF:
- You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals
- You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure
- You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go
- You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance
- You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel
- You can turn loosely defined production problems into well-designed, reliable systems
- You want to own important infrastructure and work closely with both internal teams and customers
NICE-TO-HAVE:
Any of the following would be helpful, but none is required:
- gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems
- Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying
- CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling
- RDMA and high-performance networking
- FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines
- Large-memory or multi-GPU inference and training systems
- Contributions to open-source systems software
Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack.
WHY THIS ROLE:
The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible.
This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.
Location: Torrance, United States
As a Flight Software Engineer, you will play a key role in designing, developing, and testing flight software that powers these advanced systems. You'll work closely with multidisciplinary teams to deliver high-performance, real-time embedded software that operates reliably under extreme conditions.
This is a hands-on role for an engineer who thrives on solving hard problems, building robust systems from the ground up, and moving fast without compromising quality.
RESPONSIBILITIES
Design, develop, and test real-time embedded flight software for missile systems
Collaborate with GNC engineers, systems engineers, and hardware teams to ensure seamless integration
Implement and maintain software for high-reliability, safety-critical environments
Support simulation, hardware-in-the-loop (HIL), and flight testing to validate performance
Participate in root cause analysis and debugging across software and system interfaces
Follow rigorous software lifecycle practices, including configuration management and verification
Contribute to defining and improving development processes, tools, and standards
Stay informed on emerging technologies and best practices relevant to flight software and real-time systems
BASIC QUALIFICATIONS
Bachelors or Master's degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related field
Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered.
Proficiency in C/C++ and experience with real-time operating systems (RTOS)
Familiarity with hardware/software integration and real-time system constraints
Experience working with GNC systems or similar control-intensive applications
Strong understanding of testing practices including simulation and HIL environments
Excellent problem-solving skills and attention to detail
Ability to work effectively in a fast-paced, multidisciplinary team environment
Active or eligible for a Top-Secret security clearance
PREFERRED SKILSS AND EXPERIENCE
Experience developing flight software for missile, launch vehicle, or spacecraft systems
Exposure to FPGA-based systems and embedded software optimization techniques
Knowledge of secure software development and cybersecurity best practices
Familiarity with agile or iterative development methodologies
Hands-on experience with software verification, validation, and integration in defense environments
Buscamos perfiles que combinen conocimiento de Dynamics 365 + entendimiento de procesos de negocio, capaces de participar en proyectos de consultoría e implementación desde el levantamiento de requerimientos hasta la configuración, integración, pruebas, despliegue y mejora continua de las soluciones. Dynamics 365 Sales y Customer Service.
УдалённоArgentina
Aberdeen, United Kingdom; The role provides technical expertise throughout all phases of rig relocation, including feasibility studies, route assessment, pre-load monitoring, jack-up and jack-down operations, towing activities, and post-move reporting
Kraków, Poland; Warsaw, Poland
Yerevan, Armenia
ОфисSan Francisco, CA
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
