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Location: Caracas, Venezuela, Bolivarian Republic of We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design. Responsibilities Collaborate with civil engineers, city officials, and equipment vendors to define project requirements. Oversee and review the work of a drafting team, and update plans when necessary. Work closely with Professional Engineers (PEs) to review and approve designs. Monitor project progress, communicate updates to clients, and ensure deadlines are met. Review submittals during bidding and construction phases. (Optional) Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates. Requirements Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants). Previous experience working for the U.S Market in this same indsutry will be highly valued. Excellent written and verbal English communication skills. Strong AutoCAD skills, with experience reviewing and checking drafting work. Experience managing or coordinating projects with multiple stakeholders. Knowledge of Autodesk Vault or similar project management software is a plus. Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage. Benefits Take a leadership role in a growing consultancy. Work on innovative wastewater and stormwater projects. Collaborative environment with opportunities to expand your expertise into new project types. Work from anywhere!

Location: Tegucigalpa, Honduras; Lima, Peru; Quito, Ecuador We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design. Responsibilities Collaborate with civil engineers, city officials, and equipment vendors to define project requirements. Oversee and review the work of a drafting team, and update plans when necessary. Work closely with Professional Engineers (PEs) to review and approve designs. Monitor project progress, communicate updates to clients, and ensure deadlines are met. Review submittals during bidding and construction phases. (Optional) Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates. Requirements Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants). Previous experience working for the U.S Market in this same indsutry will be highly valued. Excellent written and verbal English communication skills. Strong AutoCAD skills, with experience reviewing and checking drafting work. Experience managing or coordinating projects with multiple stakeholders. Knowledge of Autodesk Vault or similar project management software is a plus. Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage. Benefits Take a leadership role in a growing consultancy. Work on innovative wastewater and stormwater projects. Collaborative environment with opportunities to expand your expertise into new project types. Work from anywhere!

Location: Buenos Aires, Argentina We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design. Responsibilities Collaborate with civil engineers, city officials, and equipment vendors to define project requirements. Oversee and review the work of a drafting team, and update plans when necessary. Work closely with Professional Engineers (PEs) to review and approve designs. Monitor project progress, communicate updates to clients, and ensure deadlines are met. Review submittals during bidding and construction phases. (Optional) Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates. Requirements Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants). Previous experience working for the U.S Market in this same indsutry will be highly valued. Excellent written and verbal English communication skills. Strong AutoCAD skills, with experience reviewing and checking drafting work. Experience managing or coordinating projects with multiple stakeholders. Knowledge of Autodesk Vault or similar project management software is a plus. Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage. Benefits Take a leadership role in a growing consultancy. Work on innovative wastewater and stormwater projects. Collaborative environment with opportunities to expand your expertise into new project types. Work from anywhere!

Location: Bogotá, Colombia We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design. Responsibilities Collaborate with civil engineers, city officials, and equipment vendors to define project requirements. Oversee and review the work of a drafting team, and update plans when necessary. Work closely with Professional Engineers (PEs) to review and approve designs. Monitor project progress, communicate updates to clients, and ensure deadlines are met. Review submittals during bidding and construction phases. (Optional) Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates. Requirements Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants). Previous experience working for the U.S Market in this same indsutry will be highly valued. Excellent written and verbal English communication skills. Strong AutoCAD skills, with experience reviewing and checking drafting work. Experience managing or coordinating projects with multiple stakeholders. Knowledge of Autodesk Vault or similar project management software is a plus. Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage. Benefits Take a leadership role in a growing consultancy. Work on innovative wastewater and stormwater projects. Collaborative environment with opportunities to expand your expertise into new project types. Work from anywhere!

Location: Mexico City, Mexico We are an expanding engineering consultancy focused on electrical design for wastewater and stormwater lift stations. We are seeking an experienced engineer to lead projects, guide a small drafting team, and support our growth into areas like treatment plant design. Responsibilities Collaborate with civil engineers, city officials, and equipment vendors to define project requirements. Oversee and review the work of a drafting team, and update plans when necessary. Work closely with Professional Engineers (PEs) to review and approve designs. Monitor project progress, communicate updates to clients, and ensure deadlines are met. Review submittals during bidding and construction phases. (Optional) Contribute to expanding services into treatment plant projects and help standardize drafting procedures and CAD templates. Requirements Hands-on experience in wastewater electrical engineering (lift stations, pump stations, or treatment plants). Previous experience working for the U.S Market in this same indsutry will be highly valued. Excellent written and verbal English communication skills. Strong AutoCAD skills, with experience reviewing and checking drafting work. Experience managing or coordinating projects with multiple stakeholders. Knowledge of Autodesk Vault or similar project management software is a plus. Broader experience in MEP disciplines (mechanical, civil, etc.) is an advantage. Benefits Take a leadership role in a growing consultancy. Work on innovative wastewater and stormwater projects. Collaborative environment with opportunities to expand your expertise into new project types. Work from anywhere!

Location: Home based - EMEA Ubuntu Linux is one of the most widely used Linux distributions in the world today and one of the top contributing factors to its popularity is its wide availability and ease of installation.  Canonical, the publisher of Ubuntu Linux, is seeking a senior software engineer to lead an initiative to take the configuration and build of the Ubuntu Linux kernel to a new level of simplicity and automation to make it even easier to distribute to clients tailored to their specific system needs. We are looking for an industry veteran who has ‘been there, done that’ across a broad range of the software stack and is able to draw on that experience to guide this new effort.  You will be expected to take charge of the implementation from concept through delivery and strong leadership skills are a must along with a tenacious commitment to detail and strict adherence to project schedules. While this role does not require previous Linux kernel internals development experience (although that would be highly regarded), a more in-depth grasp of the build system beyond typing ‘make’ on the command line is essential.  Advanced git usage and kernel patching experience will also be critical to the role. Location: Home-based in the Europe, Middle East, or Africa regions. What the role entails Lead the design and implementation of an advanced automated Linux build control system Work closely with other engineering teams to deploy seamlessly into the Canonical ecosystem Have no fear in delving into the depths of kbuild, kconfig, and make to determine the optimal solution to issues faced Be eager to propose innovative solutions to kernel build roadblocks and drive acceptance to upstream What we are looking for in you Significant programming ability in Python, with strong C skills also highly regarded Demonstrated experience in patching and configuration of the Linux kernel.  A strong working knowledge of kconfig and git will be required. Ability to communicate effectively in English, both written and oral Solid background with popular open-source projects for creating custom Linux-based distributions such as Yocto or buildroot Strong grasp of git Nice-to-have skills Javascript or Golang programming ability Experience in writing CLI tools, including interactions with REST APIs Solid background in CI/CD and process automation Prior experience developing with software packaging formats, with direct Ubuntu/Debian/Snap experience being highly regarded 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 Team Member Assistance Program & Wellness Platform 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 our 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: 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 role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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: $500,000 — $850,000 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Tabuk, Saudi Arabia The Maintenance Engineer – Biomedical is responsible for ensuring the safe, effective, and reliable maintenance of biomedical and clinical equipment, as well as supporting broader facilities maintenance operations across KAUST’s community infrastructure. This role focuses on auditing, monitoring, and verifying the work of service providers, ensuring full compliance with technical, contractual, and safety standards. The engineer will manage both preventive and corrective maintenance activities and contribute to long-term asset lifecycle management. The position requires technical expertise in biomedical systems, asset performance evaluation, compliance with international and local standards, and effective use of CMMS tools (SAP/Maximo). Ensure effective and safe execution of preventive, corrective, and predictive maintenance for biomedical and facility assets. Monitor maintenance activities to ensure alignment with KAUST standards, safety protocols, SOPs, and KPIs. Conduct audits, inspections, and technical reviews to verify service quality and compliance with regulatory standards (JCI, SFDA, CBAHI/SBAHI, IEC, HTM). Support troubleshooting, root cause analysis, and the implementation of corrective and preventive actions. Oversee calibration, maintenance, and performance verification of biomedical equipment in the community medical facility. Maintain accurate asset data in the CMMS (SAP/Maximo) and support lifecycle planning and preventive maintenance strategies. Coordinate with stakeholders and provide regular reports and recommendations to improve service quality and asset reliability. Demonstrate expertise in biomedical equipment calibration, testing, performance verification, and lifecycle management. Requirements Bachelor's degree in Biomedical Engineering or related engineering discipline. Minimum 4–6 years of experience in the maintenance and operation of biomedical systems and general facilities equipment. Advanced knowledge of preventive, corrective, and predictive maintenance methodologies. Strong understanding of biomedical equipment standards, device safety, and infection control protocols. Proficiency in Computerized Maintenance Management Systems (CMMS), preferably SAP or Maximo. Strong technical expertise in biomedical equipment calibration, testing, and lifecycle management. In-depth understanding of international codes and standards related to facilities and medical equipment. Proven track record in contractor management, inspections, audits, and performance monitoring. Hands-on experience in complying with international and local regulations and standards, including: JCI, CBAHI/SBAHI, SFDA, IEC 60601, HTM Certified Maintenance & Reliability Professional (CMRP) - Preferred Biomedical Equipment Technician (BMET) certification - Preferred

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 We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $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: Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, ​​​​​​​motor drive units,​​​​​​​ onboard processors, ​​​​​and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.

Location: Montreal, Canada Senior Electrical Satellite Systems Engineer Join a pioneering team shaping the future of LEO commercial satellite missions. From concept to orbit, we design and operate spacecraft that advance connectivity, Earth observation, and in-space infrastructure. As a Senior Electrical Satellite Systems Engineer, you’ll drive mission success by leading the design, integration, and verification of satellite electrical systems, while mentoring junior engineers and collaborating with operators, customers, and launch partners. Key Responsibilities System Design : Lead electrical subsystem design through flight, build, and test phases; define and manage power, data, and reliability budgets. Requirements Management : Develop and maintain system requirements, verification, and test matrices from mission to subsystem levels. Technical Analysis : Conduct power budgets, failure mode, and reliability analyses to ensure system performance. Interface Control : Oversee interface control documents (ICDs) for seamless subsystem integration. Testing & Verification : Design and execute test plans for qualification, LEOP, and environmental testing (TVAC, EMC/EMI). Documentation : Maintain design reports, specifications, and verification matrices. Leadership : Mentor junior engineers and collaborate with software, mechanical, and ground segment teams. Supplier Management : Manage subcontractors and vendors to meet program requirements. Program Support : Contribute to major reviews (SRR, PDR, CDR, TRR, PSR, LRR). Required Skills and Experience Education Bachelor’s or Master’s in Electrical Engineering, Systems Engineering, Aerospace Engineering, or related field. Experience 15+ years in LEO satellite systems design with full lifecycle experience. Technical Expertise Systems Architecture : Define spacecraft electrical architecture for optimal payload-bus integration; manage avionics, power, AOCS, propulsion, TT&C, thermal, and data handling interfaces. Requirements & Traceability : Own requirement flow-down, traceability, and gap analyses to meet mission objectives. Verification & Validation : Lead electrical performance validation, fault management (FDIR), and system integration testing. Operations Support : Interface with launch providers, support LEOP, in-orbit testing, and SOCC activities (telemetry, anomaly resolution). Leadership : Engage stakeholders, lead design reviews, and ensure compliance with ECSS, PUS-STD, and internal standards. Tools & Soft Skills Proficiency in flight engineering software, Agile methods, and modeling tools (e.g., MATLAB). Strong communication with technical and non-technical stakeholders. Proven problem-solving in dynamic, high-stakes environments. Why Join Us Drive commercial space missions redefining global connectivity and exploration. Lead cutting-edge systems engineering, balancing innovation and reliability. Thrive in a high-accountability, collaborative culture with competitive compensation and global launch exposure.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. We are looking for engineers with deep specialization in cloud infrastructure. We are particularly interested in experience with container orchestration, low-level networking, and storage management. Areas of focus will be improving our architecture to schedule & spin up containers orders of magnitude faster, develop offerings to support our customers' growing AI workloads, improving the performance of and adding new features to our internal traffic routing & load balancing, and building low-level primitives to enable our users to massively parallelize data processing workloads. WHAT YOU'LL DO - Own Render's core infrastructure across multiple data centers and regions. - Help offer unique capabilities to Render customers through infrastructure innovation. - Plan and architect for rapidly increasing scale. - Debug issues at all levels in our infrastructure stack. - Improve the performance and reliability of our infrastructure through increased observability, load testing, and chaos engineering. - Collaborate with other engineers to help keep our platform stable, predictable, and secure. - Participate in our on-call rotation, with the rest of the engineering team. WHAT WE'RE LOOKING FOR - At least 5 years of experience building and scaling cloud infrastructure. - Experience developing, maintaining, and debugging production systems at scale. - Experience building, operating and scaling Kubernetes clusters or similar resource/container orchestration. - Experience with infrastructure-as-code tools like Terraform, Pulumi, and Ansible. NICE-TO-HAVES - Experience with Linux kernel and/or container optimization - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Experience hosting PostgreSQL (or similar data stores) at scale. - Security hardening skills, especially in the context of untrusted workloads. RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers - How Render Scaled Knative to 100k+ Web Apps https://render.com/blog/knative - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - How Render Enforces Access Controls with Go Generics https://render.com/blog/how-render-enforces-access-controls-with-go-generics - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: Montreal, Canada; United States Payload System Engineer Role: We are seeking a Telecommunications Payload System Engineer with a strong background in electrical or RF engineering. In this role, you’ll support the definition, design, and verification of advanced digital payload architectures for spaceborne telecommunications systems. Tasks: Contribute to the system architecture design of advanced digital telecom payloads. Support system-level performance and functional analysis, including link budgets and signal routing paths. Participate in Failure Detection, Isolation, and Recovery (FDIR) strategy development and analysis. Assist in RF signal analysis and system-level integration activities. Contribute to the creation and maintenance of payload performance budgets. Support requirements derivation, traceability, and management across subsystems. Collaborate with cross-functional teams to define interfaces and ensure end-to-end system performance. Participate in design reviews, technical documentation, test planning, and troubleshooting throughout the development lifecycle. Must haves: Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field. 2–5 years of experience in space systems, satellite communications, or a related discipline. Foundational knowledge of digital signal processing, RF systems, and telecommunications architectures. Relevant Experience with testing of satellite subsystems. Strong attention to detail, analytical mindset, and team-oriented approach. Effective communication and technical documentation skills. Must be eligible to work in Canada and capable of obtaining necessary security clearance. Complementary skills/knowledge: Previous experience in Space and/or Constellation Operations Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Redmond, United States Job Description: We are seeking a talented Software Development Engineer with a passion for building robust backend systems. This role focuses on designing and developing scalable software solutions, primarily using Java. We’re looking for someone who excels at writing production-ready code to help drive our technology forward. Responsibilities: Design and develop high-quality backend software systems, primarily using Java. Build and maintain scalable, efficient, and reliable applications from the ground up. Collaborate with product teams to implement new features and functionalities. Write and optimize SQL queries for data management and retrieval. Leverage infrastructure as code (IaC) to support deployment of software solutions. Debug and enhance existing codebases with a focus on development. Participate in code reviews to ensure maintainability and performance. Required Skills and Qualifications: Proven experience as a Software Development Engineer, with a strong emphasis on backend development. Deep expertise in Java for building software systems. Strong understanding of software architecture and backend system design. Hands-on experience with SQL and relational databases. Familiarity with cloud environments and infrastructure as code (IaC) to support development efforts. Ability to solve complex problems through code development. Bachelor’s degree in Computer Science or equivalent experience (CS degree preferred but not mandatory). Preferred Qualifications: Previous experience at a tech-driven company (e.g., Amazon or similar) as a developer. Proficiency in Python as a secondary skill (not required, but a plus). Track record of delivering production-grade backend systems. Comfort with full-stack problem-solving, though the focus remains on backend.

Location: Richardson, United States; San Jose, United States Signal Integrity Engineer Locations: On-site in Richardson, TX or San Jose, CA Type: Permanent / Full-time Compensation: Competitive and commensurate with experience (multiple openings available) About the Role We’re seeking highly skilled Signal Integrity Engineers to join a top-tier hardware engineering team developing next-generation networking, server, and storage technologies. This is a permanent, on-site position located in either Richardson, TX or San Jose, CA. As a Signal Integrity Engineer , you'll serve as a subject matter expert in high-speed signal delivery and analysis. You’ll work cross-functionally on complex PCB designs, performing simulations, lab testing, and root cause analysis to ensure signal quality and system performance. You will also participate in design reviews and provide technical guidance throughout the product lifecycle. Key Responsibilities Design and validate high-speed signal paths for digital and analog interfaces. Perform 2D/3D simulations (e.g., S-parameters, eye diagrams, crosstalk, impedance control). Conduct lab measurements including TDR and VNA; develop custom test fixtures. Collaborate with hardware, layout, and system engineering teams on board design and stack-up. Evaluate and model component-level behavior (e.g., Touchstone files). Drive design decisions balancing performance, manufacturability, and cost. Support signal integrity across complex PCBAs (36+ layers), connectors, flex circuits, and cabling. Required Skills & Experience 5 to 20+ years of experience in high-speed signal integrity engineering. Strong background in PCB signal integrity (both on-board and off-board transmission). Proficient in tools like ADS, ANSYS HFSS, Sigrity , and Allegro or similar ECAD platforms. Experience with single-ended and differential signaling up to 50Gbps , including NRZ and PAM4 . Deep understanding of PCB design fundamentals , crosstalk, impedance, and loss modeling. Skilled in generating and analyzing eye diagrams , and interpreting both time and frequency domain results. Familiar with PCB stack-up design , fabrication limitations, and high-frequency materials. Hands-on experience with flex circuit design , ribbon cables, coax, and board-to-board connectors. Preferred Qualifications Master’s Degree in Electrical Engineering (Bachelor’s required). Experience leading design reviews or acting as a technical mentor. Exposure to hardware platform development for networking or data center products. Strong communication skills and experience working with cross-regional teams.

Location: Houston, United States Role: As part of the System Engineering Department, the Senior Mission and Operations Satellite System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the ICD development activities both HW and SW/DB Support the Operations DevOps environment and tool-chain integration. Support the ConOps Mission Design, Trade Space Analysis, Modeling and Automation Support the Satellite Simulator Operation and script development. Requirements: Bachelor’s degree in engineering in a relevant field At least 10 years of relevant practical experience Previous mission design and analyses experience with LEO/MEO satellite systems. Experience with automated satellite operations, especially design. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge: Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably