Strong Compute jobs

Senior Machine Learning Applications and Compiler Engineer, LPX 2 Locations posted: Posted 30 Days Ago

Senior Software Engineer, Gateway Enterprise - Shanghai China-Shanghai, Shanghai, China Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the role: As a member of a team, you'll need strong technical skills and a solid background in Computer science and technology to be able to accept various challenges, make valuable contributions, and generally have a great experience in Kong. You will have the opportunity to influence the culture, facilitate technical delivery, and collaborate with your team on the strategy and execution of our key product. What you'll be doing: - Work on our proxy stack which is based on Nginx/OpenResty. - Organize and prioritize complex problem resolution and bug fixes, debugging distributed services. - Contribute to the Kong Gateway OSS and Enterprise product. What you'll bring: - At least 5 year of experience in computer operating systems and deep understanding of Linux system runtime and networking stack. - Solid hands-on low-level technical experience in Linux systems troubleshooting and profiling, experience in debugging tools such as gdb, systemtap, tcpdump, crash, etc. - Experience with public cloud providers like AWS, GCP or Azure. - Fluent English language skills including both written and verbal. Bonus Points: - Hands-on experience with building and maintaining NGINX/OpenResty-based backend services. - Hands-on experience with

Senior DSP Algorithm Engineer Virtual US posted: Posted 15 Days Ago

Software Engineer San Francisco | OnSite RESPONSIBILITIES - Design, implement, and maintain robust, scalable software systems for production automation - Build core libraries and services supporting motion planning, control, and perception pipelines - Architect clean interfaces between software components and hardware-facing systems - Develop vision and sensor-integration software that feeds downstream planning and control stacks - Optimize software for performance, reliability, and deterministic behavior where required - Write high-quality, testable Python code with strong emphasis on readability, correctness, and maintainability - Own software engineering best practices: code reviews, testing strategies, CI/CD, and release processes - Build simulation, testing, and tooling infrastructure to validate behavior prior to deployment - Collaborate with robotics, controls, and hardware engineers to translate system requirements into well-defined software abstractions - Contribute to architectural decisions as the software platform scales across customers and deployments MINIMUM QUALIFICATIONS - B.S. in Computer Science or a related engineering field - Strong software engineering experience, especially in Python - Experience designing and maintaining complex software systems (services, libraries, APIs, or pipelines) - Solid understanding of data structures, algorithms, and systems design - Proficiency with Git, debugging, testing frameworks, and modern development workflows - Ability to work independently on ambiguous problems in a fast-paced environment - Due to U.S. export control regulations (ITAR), this position is limited to U.S. Persons (U.S. citizens or lawful permanent residents) OPTIONAL QUALIFICATIONS - M.S. in Computer Science or a related field - Experience working on systems that interact with hardware,

Manager, Data Science (GenAI Solutions & ML Engineering) Country US What you'll need to succeed as a Manager, Data Science & AI at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 5+ years of experience in Machine Learning Engineering, Applied AI, or MLOps , including hands-on development of ML and Generative AI solutions 3+ years of experience leading and developing high-performing technical teams Strong technical foundation in end-to-end AI systems, such as: Designing and implementing scalable MLOps pipelines (training, CI/CD, deployment, monitoring, governance) Building production-grade ML inference services and APIs (batch and real-time) Developing and deploying Generative AI solutions , including LLM-powered applications and RAG pipelines Supporting Computer Vision or multimodal models in production environments Proficiency in Python and modern ML frameworks (e.g., PyTorch), with demonstrated experience taking AI solutions from prototype to enterprise-scale deployment Experience integrating AI systems with enterprise applications and data platforms Strong communication skills with the ability to influence engineering, product, and business stakeholders Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, Data Science, or related field Experience building and scaling enterprise AI platforms providing best practices and/or acting as a Center of Excellence Hands-on experience with: LLM application development, prompt engineering, evaluation frameworks, and guardrai

AIML - Machine Learning Engineer for MLX, MLR Cupertino, United States of America As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines. Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you. Minimum Qualifications: 2 years in C++ and Python numerical computing 2 years low-level programming 2 years in GPU programming Experience with open-source projects and collaborative software development. Experience with Machine Learning algorithms. Excellent communication skills. B.S., M.S. or PhD in Computer Science with a strong mathematical background Preferred Qualifications: 3+ years in C++ and Python programming 3+ Expert in GPU programming. Experience with

Senior Competitive Benchmarking Developer - Product Marketing Canada Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Elastic is seeking a Senior Competitive Benchmarking Engineer to join its Product Marketing Organization. This role will measure, validate and communicate performance metrics on Elastic vs competitive products. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. What You Will Be Doing : - Define benchmark methodologies and guidelines. - Optimize each product to ensure equal testing conditions. - Run the benchmarks and analyze the results. - Work with engineering and developer relations to validate your approach and results. - Publish the results through technical blogs or white papers with the information and resources for others

Senior AI Solutions Engineer - Enterprise Knowledge Work New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Department : Field Engineering - Pre-Sales (Founding) Level: Senior (Staff level considered for exceptional candidates) Domain: enterprise knowledge work (EKW) Location: Strong preference for SF Bay Area but will consider Seattle and NYC. Reports to: CRO (until VP, Field Engineering is hired) Compensation: OTE $260,000-320,000 (Senior) or $325,000-400,000 (Staff) · 75/25 base/variable split · Equity The Role You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the enterprise knowledge work domain. Every major lab is racing to push the frontier on multi-step reasoning over enterprise data, tool use, long-horizon task completion, and evaluation that reflects real work. They buy datasets, benchmarks, graders, and

Senior Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You'll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers. WHAT YOU'LL DO - Build and maintain

Staff Software Engineer, Inference Dublin, IE 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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: - High-performance, large-scale distributed systems - Implementing

Power Architect Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix Team is building the next generation of high-performance AI compute systems. We're looking for a Power Architect to drive architectural strategy, modeling, and design decisions that shape how power is understood and optimized across our products. This is a hands-on role with massive influence over how we build power-aware systems from the ground up. This role is hybrid, based out of Toronto, ON or Austin, TX. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - 10+ years experience with power estimation tools like PowerArtist, PtPX, RTL Architect, and PrimePower. - Skilled in modeling and optimizing power at the architectural level, with deep knowledge of power-gating, voltage domains, and leakage control. - Track record of influencing architectural and micro-architectural changes that meaningfully

Site Reliability Engineering Manager, Storage - Apple Services Engineering Cupertino, United States of America Are you a talented Engineering Manager with a passion for distributed storage systems? Ready to be part of a focused and lively team bringing distributed storage technologies to Apple's infrastructure? At Apple, scale is huge and impact is enormous. Join our team and be part of our mission, which is to power storage behind many of Apple's most popular services. Bring passion and dedication to your job and there's no limit to what you can achieve! The ASE Storage team is seeking a strong engineering leader to manage SRE teams focused on providing foundational block storage to various compute platforms, working closely with peer SRE teams and development partners. Build and optimize the Storage stack from the bare metal to the top of the application. Help design provisioning systems, code deployment, monitoring, alerting, and performance improvements. Together with the team, you'll help run the storage used by some of Apple's largest teams. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of Management experience Proven experience in a leadership role within a Storage Software Engineering or SRE team specifically focused on distributed storage. Strong background in distributed systems & Block Storage. Deep knowledge of SRE principles, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts Collaborate with cross functional teams to design and implement robust and scalable storage solutions. Ability to lead teams spread across

Full Stack Engineer New York, NY (HQ) | OnSite HI 👋 I'M AIDAN, FOUNDER OF MAPLE. At Maple https://maple.inc, we're building AI agents that work for restaurants. These agents answer calls, take orders, book appointments, and handle real customer interactions over natural voice. But our bigger mission goes deeper: we're building automated ontologies that model how businesses actually operate - their services, workflows, constraints, and language - so our agents can adapt to them instantly. We meet businesses where they are, not where software wants them to be. We have many customers, strong revenue growth, years of runway, and backing from world-class investors. I'll share more once we meet. ABOUT THE ROLE As a Full Stack Engineer, you'll work across our entire stack, from real-time voice interactions to operational tooling and backend logic. You'll help us build and scale the systems that power AI agents in the wild, working closely with product, infra, and design to deliver real value, fast. You'll own features from end to end, touch everything from UIs to APIs, and help shape our internal architecture as we grow. You'll be helping define how software represents real-world business logic at scale. We work in person, 5 days a week in our NYC office. Collaboration here is fast, noisy (in the best way), and high-trust. We move quickly, break things intentionally, and fix them just as fast. WHAT YOU'LL DO - Build and maintain full-stack features across our TypeScript monorepo - Work across frontend (React + Tailwind) and

SAP China iXp Intern - Developer for Web Application - Xi'an SAP China iXp Intern - Developer for Web Application - Xi'an | Country China | Internal Posting Location Xi 'an We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you bring: We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Currently enrolled in university as full-time student Commitment of 5 days per week for 6-month internship onsite Bachelor or above in computer science, software engineering, computer engineering, or a related discipline Experience in UI development using JavaScript Experience developing on Windows, Mac, and/or Linux Strong problem solving and communication skills Experience with Java, Node.js, JavaScript, jQuery, CSS, XML, HTML5, and/or full-stack development is a plus Significant hobby programming experience (including personal projects, hackathons and programming contests) would be appealing Strong academic performance is preferred Proficiency in English as the daily communication will be done in English Meet your team:

Compute Operations Lead London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Compute Operations team, responsible for managing on-premise compute infrastructure and ensuring reliable, high-performance services for research and trading activities. The team works closely with Quantitative Researchers, Traders, and platform engineering teams supporting scheduling, orchestration, and control plane systems. Your Future Role within QRT You will: - Lead daily operations across compute infrastructure, covering hardware support and Linux-based platforms - Oversee lifecycle management, health monitoring, and repair of HPC server hardware, including liquid-cooled systems - Coordinate with hardware vendors for support, maintenance, and replacement activities - Monitor infrastructure using platforms such as HP OneView, Dell OpenManage Enterprise (or equivalent) - Triage and prioritise issues raised by users of compute platforms, including scheduling and containerised environments - Collaborate with Linux and platform engineering teams on incident resolution and capacity planning - Plan and oversee maintenance, inspections, and change management activities - Maintain and support disk encryption services and related configurations - Mentor and support engineers across hardware and Linux domains, ensuring effective workload distribution - Maintain operational documentation, reporting, and continuous service improvement

ML Software Engineer Seattle, United States of America Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence. As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs. We're a collection of highly skilled and friendly engineers who value each other's opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms. You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor. Minimum Qualifications: Experience working as a software engineer on large production systems Experience programming in: Swift, C, C++, Python, iOS/macOS or XCode Practical experience running machine learning models and evaluating them for quality and performance metrics Preferred Qualifications: Familiarity with Apple ML stack (ANE, CoreML, MPS/Metal), high-level general distributed

End User Compute Engineer 2 Locations posted: Posted 30+ Days Ago

Senior Software Engineer - Backend United States (Remote) About Us Turnkey is developer-first infrastructure for private key management, making it simple to create wallets, sign transactions, and automate on-chain actions through one elegant API, without ever exposing sensitive key material. Founded by the team who scaled Coinbase Custody from zero to a $100M+ ARR business and helped protect over $100B in crypto assets, Turnkey is tackling crypto security at its foundational level. Our mission is to make strong cryptography the default across the open internet the same way AWS made scalable computing the default for software. Our team is low-ego, high-agency, and high-autonomy, with a significant amount of combined experience in cryptography, security, and low-level systems. We're building the trustless, programmable infrastructure that will power the next wave of mass-market crypto applications and we're looking for people who want to shape what that future looks like. We are looking for talented engineers who are excited by the radical potential of crypto to change the world for the better. We are generalist engineers and constantly solving new problems and challenges. We are language-agnostic, though we do use Go, Typescript, and Rust in production and while we don't expect you to have a background in every technology we use, we do expect strong fundamentals and experience building scalable infrastructure. What You'll Do - Design and build systems from the ground up without cutting corners on security or usability - Develop signing infrastructure and applications to run inside secure computing environments - Collaborate

Wireless Bluetooth Software Engineer, Wireless Technologies & Ecosystems San Diego, United States of America Join our Wireless Software Engineering team and drive innovation that matters! We craft and seamlessly integrate technologies that enrich people's lives such as audio, gaming, fitness, location and more; all while delivering the best user-experience. If you're a strong software engineer and are passionate about building awesome Bluetooth solutions, we may have the job for you. The Core Bluetooth team is looking for a motivated software engineer to design, implement, and maintain next generation connectivity solutions. You are responsible for crafting and developing world changing wireless protocols such as exposure notifications on the very latest Apple products. You will be challenged with unique problems: building and developing software solutions for the current and next generation of products and accessories. Participate in the software integration of new Bluetooth features into Apple's premier products Develop and support software integration of new Bluetooth hardware into products Collaborate with cross-functional teams to ensure successful product and feature launches Minimum Qualifications: You have a Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. You have very strong C++, C and embedded software skills. You have excellent analytical, problem-solving skills, programming and debugging skills. Experience with AI tools, Claude and workflows. Preferred Qualifications: You're self-motivated and dedicated with validated creative and critical thinking capabilities. You thrive in a collaborative environment and can clearly communicate while authoritatively driving multiple projects across many teams. You're obsessively passionate and inquisitive, and seek

Accounts Payable Specialist Austin, TX, Austin, Texas, United States Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a detail-oriented and organized Accounts Payable Specialist to join our Finance and Accounting team. This role will support the Accounts Payable and Accounting functions to ensure timeliness and accuracy of payments and their related financial statement impact. Responsibilities - Process and review purchase orders and invoices, ensuring accuracy, proper coding, receiving and approvals. - Communicate with procurement team and accounting team to resolve issues - Reconcile accounts payable transactions and resolve discrepancies timely - Maintain vendor records and ensure compliance with W-9 and 1099 requirements - Collaborate cross-functionally to obtain necessary approvals - Assist in month-end close activities, including accruals and account reconciliations - Monitor accounts to ensure timely payments and manage early payment discounts - Respond promptly to vendor inquiries and maintain strong vendor relationships - Review and approve employee purchase card transactions to ensure proper approvals and support as well as appropriate GL categorization and impact Qualifications - Previous accounts payable experience required - Experience with Netsuite a plus - Strong attention to detail and accuracy - Stellar organizational and communication skills - Ability to prioritize tasks to meet deadlines in a fast-paced environment - Excellent computer skills including Microsoft Office Suite Physical Demands - Prolonged periods of sitting at a desk and working on a computer - Occasional standing

Senior Financial Analyst, AWS Finance, Amazon Software Builder Experience Seattle, Washington, USA Are you looking for your next big opportunity? Want a high-visibility finance role directly influencing the future of a successful cloud computing business? ​Please join the AWS Finance team! AWS Finance seeks a world class Sr. Financial Analyst. This position works closely with senior business partners and finance professionals at all levels to drive thoughtful analysis and controllership on AWS's products. Key job responsibilities - Influencing business partner decisions through education and collaboration on costs, pricing, customer adoption, etc. - Collaborating with business partners to build and maintain detailed cost models by product/service - Driving the financial planning/budgeting activities - Preparing and providing financial reporting including communicating future financial risks and opportunities to the business - Developing and standardizing financial reporting - Working on ad hoc financial analyses and projects A day in the life A successful candidate will implement and drive the core financial processes for the business. Additional responsibilities include helping refine the capacity planning processes and modeling improvements to help drive positive Free Cash Flow. This role requires a self-starter with a strong financial modeling background, problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and solid skills in project management. This role has regular interaction with various business units across Amazon and requires strong people skills. About the team Amazon Web Services (AWS) is a pioneer in blazing the new trails of cloud computing. AWS

Senior AI Engineer Senior AI Engineer

Senior Front End Design Engineer (Microarchitecture) Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a senior front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems.

Software Engineer, ML Infrastructure San Francisco, CA, United States, New York Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role The ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursor's work building the world's best agentic coding model. We're looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience. What you'll do - Collaborate with ML researchers to improve the throughput and reliability of training - Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure - Improve the density and scalability of compute environments to enable increasingly large RL workloads - Create software and systems to automate building, monitoring, and running GPU clusters - Build workload scheduling and data movement systems to support Cursor's growing training footprint You may be a fit if - A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang - Experience with distributed storage and networking infrastructure, particularly on Linux systems across