GPU Systems Engineer for AI Training Clusters
Thinkingmachines
Thinking Machines in San Francisco is looking for an engineer to design, build, and operate a GPU supercomputing environment. This role involves delivering reliable and efficient compute capabilities for extensive research and training applications. The ideal candidate will possess a Bachelor’s degree and demonstrate proficiency in a backend language such as Python or Rust, with experience in large-scale clusters and container orchestration systems. Competitive benefits include generous health plans and unlimited PTO. #J-18808-Ljbffr Thinkingmachines
- ...About Us Vast.ai’s cloud powers AI projects and... ...shipping excellence. We seek engineers with strong intrinsic... ...We’re looking for a systems engineer with HPC or parallel... ...systems to optimize GPU performance at the... ...Familiarity with distributed training/inference frameworks (...TrainingFull timeWork at office
$250k
...Join a rapidly scaling AI cloud infrastructure... ...a next-generation GPU platform designed for AI training, experimentation,... ...Staff Site Reliability Engineer to support and scale... ...for GPU compute clusters Collaborate with... ...available infrastructure systems Improve CI/CD...TrainingPermanent employmentRemote work$150k - $300k
...Intellect in San Francisco seeks a Solutions Architect for GPU Infrastructure who will transform client requirements into robust systems capable of training advanced AI models. Responsibilities include designing GPU cluster architectures, deploying orchestration systems, and...Training- Vast.ai Inc. is seeking a systems engineer with HPC or parallel programming experience to help scale AI inference. You will design and optimize GPU kernels and tensor libraries, leveraging CUDA/C++ and related frameworks to push the bleeding edge of AI performance. This...Suggested
- A leading AI research firm located in San Francisco is seeking a Senior ML Systems Engineer to build and maintain the training framework for large-scale language models. The role involves designing... ...throughput across multi-node clusters. The ideal candidate will have...TrainingFlexible hours
- Senior ML Systems Engineer, Frameworks & Tooling at Cohere Our mission is... ...intelligence to serve humanity. We’re training and deploying frontier models... ...enterprises who are building AI systems to power magical... ...and stability on multi-node clusters (e.g., GB200/300, AMD, H200/1...TrainingFull timeWork at officeRemote workFlexible hours
- ...our mission is to make custom AI affordable for every business... ..., where we built large-scale training infrastructure powering... ...Research Scientist (Efficient ML Systems) at Goaly, you will research... ...Freedom: Access to abundant GPU cluster resources—don't let your creativity...TrainingFull timeWork at office
- Atoms is seeking an experienced engineer in San Francisco to manage GPU training clusters and automate operations. You will work with hardware and software at a critical level. The ideal candidate has over 6 years of experience with GPU compute on Kubernetes and strong...Training
- Gravity Engineering Services Pvt Ltd. is seeking a Staff Software Engineer for AI Research Infrastructure. You will develop and run... ...that orchestrate large-scale training and inference workloads across... ...deep experience in distributed systems and proficiency in...Training
- Mercor is seeking a PyTorch Expert to guide teams in enhancing AI model performance. This remote contract role requires 40 hours a week and involves working with MLOps and ML systems engineering tasks. The ideal candidate should have 2+ years of experience in ML infrastructure...TrainingRemote jobContract work
$300k
...building out their AI and cloud platform,... ..., full-scale model training, or inference. As a Platform Engineer/Senior Site Reliability... ...automation of this GPU-powered... ...of the largest GPU clusters in private deployment... ...workloads, automate systems at petascale, and be...TrainingPermanent employment- ...Tech Jobs is seeking a Principal Machine Learning Engineer to set the technical standard for ML systems across training, inference, evaluation and deployment. This 100%... ...pipelines. You will own large‑scale ML systems, optimize GPU memory and latency, collaborate with backend/...TrainingRemote job
$350k
...knowledge and tools to make AI work for their unique... ...goals. We are scientists, engineers, and builders who’ve created... ...and build the core systems that enable scalable, efficient training of large models for deployment... ...to end, ensuring every GPU cycle drives scientific progress...TrainingLocal areaVisa sponsorshipWork visaRelocation package- A technology startup is seeking a Founding Engineer (Systems + ML) to develop GPU-accelerated engines and build end-to-end pipelines. The ideal candidate has proven experience in C++ and GPU code, alongside a deep understanding of systems performance. You'll join as the...Full time
$150k - $350k
...infrastructure frontier AI labs build... ..., high‑performance training, and deployment into one full‑stack system for post‑training at... ...and infrastructure engineers to translate bottlenecks... ...understanding of GPU architecture, profiling... ...multi‑node GPU clusters and high‑performance...TrainingRemote workVisa sponsorshipRelocation packageFlexible hours- Prime Intellect is building the open frontier AI stack and hosting ambitious work on training infrastructure. You will contribute to the distributed training... ...networks, and shaping RL training and post-training systems. Join a fast-moving team at the intersection of...TrainingRemote jobWork at officeVisa sponsorship
$180k - $350k
...anyone to create, train, and deploy them. We... ...Andrej Karpathy (Eureka AI, Tesla, OpenAI),... ..., distributed GPU infrastructure, liquid... ...work directly with engineering, research, and leadership... ...distributed GPU clusters and cloud... ...our most critical systems Drive vulnerability...TrainingWork at officeRemote workVisa sponsorshipRelocation packageFlexible hours- ...team at UCSF is seeking an HPC Systems Engineer to play a key role in the... ...operations of the Institute’s HPC clusters. HPC Systems Engineer Will... ...address complex computational, AI, and data science problems.... ...duties. Provide consultation, training, support, and guidance to...TrainingWork experience placementWorldwide
$310k
A leading AI research organization is looking for a Software Engineer for their Platform Systems team in San Francisco. You will design and build systems for large-scale AI training workloads, focusing on reliability and performance. Ideal candidates should have a deep...Training- ...Every breakthrough Physical AI system — humanoid robots, autonomous... ...video generation models — is trained on petabytes of video, lidar,... ...training time to dataloading alone. GPU bandwidth has grown 2-3× per... ...to close it. Our open-source engine, Daft, is the distributed data...TrainingFull timeWork at officeFlexible hoursNight shift
$230k - $385k
AI Systems Engineer - Codex Core AgentsAbout The TeamThe Codex Core Agents team builds the agent harness... ...increasingly part of how models are trained and evaluated, making this one of the... ...behavior, inference/runtime stack, GPU fleet, and product surface.You’ll work...Training$180k
...xAI’s mission is to create AI systems that can accurately understand... ...motivated, and focused on engineering excellence. This organization... ...scale data processing and model training.You'll ensure Grok stays... ...Familiarity with HPC environments, GPU clusters, or large-scale data...TrainingTemporary workRelocation$255k
...TeamThe Frontier Systems team at OpenAI builds... ...edge model training.We take data center... ...RoleWe are looking for engineers to operate the... ...generation of compute clusters that power OpenAI’... ...environments, GPU hardware, and large... ...OpenAIOpenAI is an AI research and deployment...Training- ...Will Make: As a staff software engineer, you will lead two areas that... ...widely adopted conversational AI platform at Airbnb, You will also... ...teams to develop backend systems and enhance AI prompt effectiveness... ...upon many factors, such as: training, transferable skills, work...TrainingWork experience placementFlexible hours
- ...in San Francisco, is seeking a skilled engineer to enhance their automation coding agent... ...will lead the development of a two-agent system focused on improving reliability and performance... ..., has practical experience with model training, and is creative in solving problems...Training
$172k - $209k
...only vertically integrated AI infrastructure company... ...Production / Sustaining Engineer to strengthen Crusoe’s Hardware Systems Engineering team and close... ...reliability across Crusoe Cloud’s GPU‑ and CPU‑based... ...debugging across: PCIe (link training, topology, performance...TrainingTemporary work- ...next generation of enterprise AI infrastructure. As a Staff AI Infrastructure Engineer, you will design, build, and... ...platforms that enable large‑scale training, serving, evaluation, and... ...will work across distributed systems, Kubernetes, GPU infrastructure, high‑...Training
$190k - $230k
...intelligence . As the only vertically integrated AI infrastructure company built from the... ...This Role We’re seeking a Senior Systems Engineer to play a key role in executing Crusoe’s... ...internal teams through code reviews, training, and technical enablement programs Evaluating...TrainingTemporary work$280k
...experienced Infrastructure Engineers to join our team and... ...maintenance of our cutting-edge AI systems. By joining our... ...largest, most sophisticated clusters in industry used to train, research, and ultimately... ...Kubernetes clusters with GPU/TPU/Tranium workloads. Observability...TrainingWork at officeHome officeVisa sponsorshipRelocation package- Gravity Engineering Services Pvt Ltd. is seeking a Senior Software Engineer for AI Runtime in San Francisco, California. The role involves... ...architecture of a managed GPU training platform, solving complex... ...experience with distributed systems, GPU training, and a strong communication...Training
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