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
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
RESPONSIBILITIES
- Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
- Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
- Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
- Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
- Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
- Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.
REQUIREMENTS
- You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
- You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
- You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
- You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
NICE TO HAVE
- Deep knowledge of NCCL, NVSHMEM, and UCX.
- Experience with Rust for systems-level or performance-critical networking code is a strong plus
- Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
- Familiarity with TensorRT-LLM, vLLM, or SGLang.
- Experience running low-level benchmarks to "qualify" new hardware clusters.
THE TEAM
- Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
- We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
- High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.
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: New York; San Francisco
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:
We’re looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads: LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You’ll help teams reach outcomes most engineers can’t on their own.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems.
WHAT YOU’LL WORK ON:
- Work hands-on with companies like Suno, Cognition, and Meta to architect and optimize production AI workloads on Modal
- Contribute to open-source projects (members of the team are active contributors to SGLang) and publish technical content that demonstrates Modal’s capabilities across the AI stack
- Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proofs of concept that make Modal’s performance advantages tangible
YOU MAY BE A FIT IF:
- You have 2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
- You’re familiar with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains and can go deep on at least one (you don’t need all of them)
- You’re a strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership
- You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it
- You’re willing to work in person in New York City, San Francisco, or Stockholm
NICE-TO-HAVE:
- Side projects, open-source contributions, or published work you’re proud of in ML or systems performance
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineering Director
, who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Billing
team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems.
The
Contracts
team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system.
The
Livepatch
team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with accounting, sales, sales operations, or other business roles
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Program
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineering Director
, who strives for taking ownership of the development and operations of internal business systems integrations, a full data mesh solution built on top of leading open-source software, and the configuration of Salesforce, NetSuite, and other internal business systems. A successful candidate has a track record of leading the configuration, development and integrations of business systems, such as Salesforce or NetSuite, and data engineering/governance solutions. Such a candidate adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Business Data unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and data analytics and reporting. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Business Systems
team is responsible for systems such as NetSuite, Salesforce, and several others. The engineers work closely with operations teams, implement business processes, and keep the systems compliant, while delivering first class experience to Canonical employees using those systems to get their job done.
The
Data Lake
team is responsible for building a comprehensive data mesh solution with a secure and well-governed access to data sets originating at many internal and external data sources
.
The team works with well-known open-source tools such as Trino, Ranger, and Superset, and develops tooling facilitating data governance processes.
The
Integrations
team is responsible for the integrations between internal and external systems used at Canonical and onboarding of new data sources to the data mesh. The team designs, develops, and operates Python workflows leveraging an open-source workflow orchestration engine Temporal. The team also integrates internal and external data sources into the data mesh using open-source ETL solution Airbyte, enabling more data driven decisions in the organization.
Location
: This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results
Engineering experience in at least one of the following areas: CRM/ERP systems, Python, data engineering/governance, or distributed integrations
Track record of going above-and-beyond expectations to achieve outstanding results
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and DevOps/SRE experience
Experience with compliance
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Program
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
We're seeking an Engineering Manager, UX to help build the future of AI user interfaces. In this role, you'll build and manage a team that bridges design and engineering to create intuitive, performant user interfaces that make software creation accessible on any device. You'll guide your team in building production-ready frameworks and patterns that enable high-quality in-product experiences. You’ll also help your team build core user interfaces for interacting with AI.
YOU WILL:
- Build, mentor, and grow a team of frontend engineers, reenforcing Replit’s culture of UI excellence and craft.
- Define the technical vision and strategy for building/extending user interface frameworks in order to help Replit ship high quality user experiences fast.
- Engage design and product engineering teams to understand, triage, and prioritize requirements.
- Set an ambitious vision for the future of AI user interfaces, and help the team sequence the steps to make it a reality.
- Help the Design team tastefully refine designs by taking into account technical constraints, timelines and resources.
- Use your deep understanding of technology, the product, and UI, to increase the quality, performance and usage of Replit’s most important surfaces.
REQUIRED SKILLS AND EXPERIENCE:
- 4+ years of engineering management experience with a track record of building and scaling high-performing teams. Proven experience delivering ambitious projects that require coordinating across multiple teams / departments.
- Deep technical experience in many of the following: React, CSS, CSS frameworks, mobile web, Figma.
- Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career development.
- Obsession with the user experience.
- Great recruiting experience in building talent dense teams.
- Adaptability to be ready and able to lead through changing needed requirements.
BONUS QUALIFICATIONS:
- Active Replit user.
- Experience building products that use AI.
- Background or experience in Design.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Istanbul, Turkey; Ankara, Turkey; Baku, Azerbaijan
Eram Talent is looking for a skilled Project Management Engineer specializing in the Oil & Gas industry to join our team in Saudi Arabia. In this role, you will oversee and manage oil and gas projects from inception to completion, ensuring that all project phases align with company objectives, budgets, and timelines. You will be responsible for coordinating with various stakeholders, managing resources, and mitigating risks while maintaining the highest safety and quality standards.
If selected, the work location would be onsite at
Saudi Arabia.
Responsibilities
Lead project planning sessions and develop project scopes, schedules, budgets, and resource plans
Coordinate with engineering, procurement, and construction teams to ensure project deliverables are met
Monitor project progress and performance, providing regular updates to senior management and stakeholders
Identify potential risks and implement proactive mitigation strategies
Ensure compliance with industry regulations, safety standards, and quality controls
Maintain strong relationships with clients, contractors, and suppliers
Facilitate project meetings and document all key decisions and actions
Requirements
Bachelor's degree in Engineering or a related field
Minimum of 10 years of experience in project management within the Oil & Gas sector
Proven experience in managing large and complex projects
Strong understanding of project management methodologies and tools
Excellent leadership, communication, and interpersonal skills
Ability to work under pressure and in a fast-paced environment
Familiarity with relevant industry software and tools
Professional certifications such as PMP or equivalent are preferred
Istanbul, Turkey; Ankara, Turkey; Baku, Azerbaijan
Location: Baku
Workplace: onsite
ABOUT YOU
You will build high-performance interfaces that power our promotional tools, segmentation dashboards, and real-time operational workflows used by game studios worldwide. This role requires strong technical skills, a product mindset, and a passion for crafting fast, elegant UIs at scale.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
RESPONSIBILITIES
Build and evolve scalable, high-performance web applications using React (or Vue) with
Next.js
for SSR and modern web delivery.
Collaborate with product managers, designers, and backend engineers to translate complex monetization workflows into intuitive user experiences.
Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency, especially in data-heavy dashboards.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team.
Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end requirement refinement, implementation, testing, and delivery.
REQUIREMENTS
3-5+ years of professional experience in frontend development using React or Vue (React +
Next.js
preferred).
Solid experience with
Next.js
(SSR, SSG, routing, API routes, caching, and performance optimization).
Strong skills in JavaScript (ES6+) and TypeScript, with a good understanding of component architecture and design patterns.
Experience with modern tooling (Vite, Webpack, Babel) and UI frameworks (Tailwind CSS, styled-components, Vuetify).
Hands-on experience with state management systems (Redux, Vuex, Pinia, Context API, or React Query/SWR).
Familiarity with CI/CD pipelines, Git workflows, and testing frameworks (Jest, RTL, Vue Test Utils).
Strong understanding of performance tuning, responsive design, and cross-platform development.
Proficiency in Figma for designing UI/UX layouts, components, and interactive prototypes.
Experience with Framer Motion for building high-quality animations and micro-interactions in React applications.
Excellent communication skills, proficiency in English for technical discussions and documentation.
NICE TO HAVE
Experience with TypeScript-first environments. Exposure to micro-frontends, edge rendering, or PWAs.
Knowledge of animation frameworks (GSAP,
Three.js
) or advanced motion/interaction design.
Background in gaming, fintech, or high-load consumer platforms. Experience with analytics dashboards, virtualization libraries, or complex internal tools.
Familiarity feature flagging, AB testing, or Monetization systems.
Experience migrating legacy codebases or leading UI modernization projects.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Lisbon, Portugal
About the Role
The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.
Responsibilities
Web application development in Typescript as front end and Python as a backend.
Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively.
Participate in architecture reviews and technical design.
Active participation in daily stand-up meetings
Active participation in Peer Code Reviews as part of our standard SDLC and Change
Candidate Profile
10+
years software engineering experience building enterprise SaaS cloud-based solutions
7+
years of Python development experience
7+ years of hands-on experience with Typescript
Technical leadership/management experience is a plus
Demonstrated understanding of relational database concepts and modeling practices.
Familiarity with cloud-based technologies – K8S, AWS etc.
Ability to work in an Agile / Kanban methodology
Ability to work independently or as part of a group effort, as required
Solid problem-solving ability
Excellent communication skills
Collaborative approach to software development
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: United States (Remote); United Kingdom (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
About the Role
We are looking for product-oriented backend engineers to join our engineering team here at Teleport. You will be responsible for designing and implementing backend services and APIs that enable access controls auditing tools, audit logging, session recording summarization, and identity workflows in all aspects of Teleport.
You will be involved in the entire product development cycle, from working with customers to understand security needs, to writing RFDs for your design ideas, to implementing distributed systems in Go. You will work very closely with engineers, product managers, and security researchers to design features that secure and monitor access to infrastructure at scale.
You will play a key role in shaping how modern infrastructure access is secured, audited, and managed at scale.
What You'll Do
- Building backend integrations https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Aaws with cloud provider's managed databases.
- Working on scalability and resiliency https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Ascaleof clusters with 10K+ nodes.
- Implementing advanced HTTPS proxy with identity aware access control.
- Building hardened security https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Asecurity for Linux and Mac users.
What We're Looking For
- Go or Rust experience
- Linux systems engineering
- Cryptography engineering experience is a plus
How We Hire
- You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements
- You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions
- You join a Slack channel and submit a coding challenge https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md in Go using Github
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: London, UK
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.
Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Key Responsibilities:
Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
Independently lead small research projects while collaborating with team members on larger initiatives
Design, run, and analyze scientific experiments to advance our understanding of large language models
Optimize and scale our training infrastructure to improve efficiency and reliability
Develop and improve dev tooling to enhance team productivity
Contribute to the entire stack, from low-level optimizations to high-level model design
Qualifications:
Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
Strong software engineering skills with a proven track record of building complex systems
Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
Familiarity with large-scale machine learning, particularly in the context of language models
Ability to balance research goals with practical engineering constraints
Strong problem-solving skills and a results-oriented mindset
Excellent communication skills and ability to work in a collaborative environment
Care about the societal impacts of your work
Preferred Experience:
Work on high-performance, large-scale ML systems
Familiarity with GPUs, Kubernetes, and OS internals
Experience with language modeling using transformer architectures
Knowledge of reinforcement learning techniques
Background in large-scale ETL processes
You'll thrive in this role if you:
Have significant software engineering experience
Are results-oriented with a bias towards flexibility and impact
Willingly take on tasks outside your job description to support the team
Enjoy pair programming and collaborative work
Are eager to learn more about machine learning research
Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects
Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights
Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.
Sample Projects:
Optimizing the throughput of novel attention mechanisms
Comparing compute efficiency of different Transformer variants
Preparing large-scale datasets for efficient model consumption
Scaling distributed training jobs to thousands of GPUs
Designing fault tolerance strategies for our training infrastructure
Creating interactive visualizations of model internals, such as attention patterns
At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.
If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!
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:
£260,000
—
£630,000 GBP
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: Al Jubail, Saudi Arabia; Mumbai, India; Delhi, India
Eram Talent is seeking a talented Mechanical Engineer to join their team in Saudi Arabia. This position offers an exciting opportunity to work on a variety of engineering projects within the Oil & Gas sector, contributing to innovative solutions and advancements in mechanical engineering.
Responsibilities
Design, develop, and analyze mechanical systems, ensuring they meet functional and safety standards.
Collaborate with multidisciplinary teams to ensure efficient integration of mechanical designs in projects.
Prepare detailed engineering documentation, including specifications, reports, and manuals.
Conduct research and feasibility studies to support the development of new mechanical systems.
Participate in site inspections and provide technical support to project teams during the construction phase.
Implement continuous improvement initiatives to enhance the performance and reliability of mechanical systems.
Ensure compliance with safety regulations and quality management practices in all engineering work.
Requirements
Bachelor's degree in Mechanical Engineering or a related field.
3+ years of experience in mechanical engineering, preferably in the oil and gas or related industries.
Strong understanding of mechanical design principles and engineering calculations.
Proficient in engineering design software, such as AutoCAD, SolidWorks, or similar tools.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills to collaborate effectively within a project team.
Ability to manage multiple tasks and projects with competing deadlines.
Benefits
Salary is not a constraint ,company is looking for right candidate .
Al Jubail, Saudi Arabia; Mumbai, India; Delhi, India
Задачи:
— Разрабатывать и внедрять ML-модели в областях Computer Vision и NLP.
— Развёртывать и оптимизировать inference-пайплайны на GPU-серверах.
— Работать над мультимодальными AI-фичами (текст, изображения, видео, аудио).
— Масштабировать производительность моделей под растущую базу пользователей.
— Сотрудничать с backend-инженерами над продакшн-API.
— Проводить эксперименты и A/B-тесты на основе реальных пользовательских данных.
Требования:
— 5+ лет практического опыта в ML/AI-разработке.
— Отличное знание Python и фреймворков PyTorch / TensorFlow.
— Глубокое понимание NLP (LLMs, embeddings, transformers) и CV (image generation, diffusion models, video processing).
— Опыт работы с GPU-обучением и inference.
— Навыки оптимизации моделей (quantization, distillation, batching, caching).
— Опыт продакшн-деплоя ML-сервисов.
— Будет плюсом: опыт работы с видео-AI моделями, понимание high-load inference систем, опыт с ML-мониторингом и аналитикой (Weights & Biases, MLflow, Grafana), опыт в сфере conversational AI или чатботов, участие в open-source, Kaggle или публикации в ML-сообществе.
Условия:
— Работа в международной продуктовой компании.
— Гибкий график и удалённый формат.
— Возможность влиять на ключевые продуктовые решения.
Location: Kazakhstan
We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels.
Responsibilities
Implement and install solutions at customer's infrastructure platforms.
Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers.
Act positively and respond promptly to the customer’s requests/tickets.
Prepare, review and ensure the accuracy of technical documentation.
Conduct Preventive / Corrective Maintenance visits.
Perform any other job-related duties related to work.
Requirements
Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field.
At least 2 years experience in a similar field.
Good command of the English language (Speaking, writing, and presentation).
Good command of the Russian language (Speaking, writing, and presentation).
Based in one of the Central Asian countries (Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, or Turkmenistan).
Willing to travel and work extra hours when needed.
Experience in database engines (Oracle, MS-SQL, and PostgreSQL).
Experience in operating systems (Linux and MS Windows).
Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad).
Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere).
Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible).
Knowledge in Directory Services (AD & LDAP).
Professional effective communication, verbal and written.
Customer oriented mentality.
Excellent personal skills.
Details oriented and a team player.
Initiative and self-managed.
Time management and result oriented.
Experience in one or more of the below is a plus:
Experience in large enterprise environments with emphasis on payments, remittance solutions.
Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure.
Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies.
Knowledge of PKI Infrastructure and Certificate Authorities.
Knowledge of database engines (MySQL and NoSQL Databases).
Knowledge of server and client operating systems (Linux Distros, MS Windows).
Knowledge in Object Storage management.
Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak).
Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).
Location: San Francisco, CA | New York City, NY | 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 Team
The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.
The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will own one or two of these areas and contribute to others, with your focus shaped by your strengths and the team's priorities. This is largely greenfield work, and you will help define the architecture.
About the role:
Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
Mentor engineers across the security team and broader engineering organization, contribute to hiring, and grow security engineering culture at Anthropic
Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team
Developer security and supply chain
Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
Identity and secrets management
Architect systems that protect sensitive assets including model weights, customer data, and training datasets
Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments
Infrastructure security
Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation
Secure frameworks
Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls
You may be a good fit if you have:
At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
Bachelor's degree in Computer Science or equivalent industry experience
Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
Deep understanding of identity systems, cryptographic primitives, and secrets management
Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
Experience leading cross-functional security initiatives and navigating complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all levels of the organization
A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
Passion for AI safety and the role security engineering plays in building trustworthy AI systems
Strong candidates may also have:
Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
Built security frameworks or libraries adopted across an engineering organization
Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimization
Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
Experience building runtime security monitoring using eBPF or kernel security policies
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:
$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.
Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise.
YDB is an open-source platform with two roles within Nebius:
Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage
Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging
We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes.
What you’ll work on
Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient:
QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification
Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth
NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs
Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints
Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability
Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads
Prevent, detect and recover from silent data corruption across memory, networking and storage
Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently
We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact.
Requirements:
5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems
Experience developing high-performance, low-latency software components
Understanding of core dumps, flame graphs and sanitizer-enabled builds
Understanding of CPU caches, atomic operations and NUMA architectures
Nice to have:
Experience designing and developing production-grade distributed storage systems and/or databases
Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming
Understanding of NVMe, conventional HDD and SMR HDD internals
Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb
Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring
Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA
Experience with Kubernetes and Grafana
Experience responding to production incidents
Knowledge of availability and durability calculations
For
Senior candidates
, we offer hybrid working or the flexibility to work remotely within EU.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, UK
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
Anthropic is seeking talented and experienced Software Engineers to join our Continuous Integration (CI) team within the Developer Productivity organization. The CI team is responsible for the infrastructure that enables hundreds of engineers to ship code safely and efficiently to production. By joining this team, you'll have a direct impact on the velocity and reliability of Anthropic's research and product development.
The CI team manages Anthropic's continuous integration system, which includes:
CI infrastructure
for automated testing and code quality assurance across our monorepo, designed to scale with rapid growth
Test infrastructure
that runs on Kubernetes clusters across multiple cloud providers, handling intelligent test selection, execution, and reporting for a large and complex test suite
Merge queue management
and complex branching strategies that ensure code quality at scale
CI tooling and automation
to improve developer productivity and reduce operational overhead
Responsibilities
Design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers
Develop intelligent test selection systems that reduce CI time while maintaining code quality
Build and improve incident response automation, including cluster load shedding, automatic recovery, and observability tooling
Improve test infrastructure reliability through flake detection, quarantine systems, and test state management
You may be a good fit if you
Have 10+ years of relevant industry experience building and operating large-scale CI/CD systems
Have deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar)
Are obsessed with developer productivity and reducing friction in the software development lifecycle
Have experience with container orchestration at scale
Have excellent communication skills and enjoy supporting internal partners
Care deeply about reliability and building systems that "never fail the same way twice"
Strong candidates may also have
Experience with merge queues and branch management at scale
Experience with test infrastructure, including intelligent test selection and flake management
Experience building CLI tools and developer-facing services
GitHub API and automation 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:
£325,000
—
£390,000 GBP
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.
ГибридSan Francisco; Toronto; New York; Montreal; Seattle
New York; San Francisco
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
ОфисBaku
УдалённоseniorUnited States (Remote); United Kingdom (Remote)
London, UK; We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech
УдалённоKazakhstan
San Francisco, CA | New York City, NY | Seattle, WA
seniorAmsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel
