1,334 ml systems engineer jobs at 428 companies in San Bruno, CA
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ML Systems Engineer
San Jose or Santa Barbara
$150k-$350k/yrOnsiteFull Time
ChipAgents: Private agentic-AI software helping semiconductor design and verification engineers design, verify, and debug chips.
Experience with large-scale ML systems and GPU computing; strong Python and C++/CUDA skills; familiarity with vLLM, PyTorch, SGLang, Ray; experience deploying and optimizing LLMs, profiling and benchmarking inference.
Engram: Applied AI research lab building cognitive systems that augment human intelligence and accelerate research and engineering.
5+ YOE5+ years building training/inference systems; strong engineering skills; experience with ML frameworks, GPUs, distributed systems; bachelor's degree or equivalent experience.
ML Systems Research Engineer, RL / Inference / Agent Systems
Santa Clara, California, United States
HybridFull Time
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Experienced ML systems engineer with strong Python and ML framework skills, experience in RL/inference systems, distributed experimentation, and GPU/infrastructure workflows; advanced degree preferred.
Python, PyTorch, JAX, TensorFlow, Kubernetes, Ray, Slurm, ROCm, HIP, CUDA
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOE12+ years of software development experience, expert Python and PyTorch skills, ML systems and platform expertise, software engineering fundamentals, LLM-based systems experience, and a CS, engineering, or related degree or equivalent experience.
Richardson or Austin or Santa Clara or Dallas or San Jose
$106k-$205k/yrOnsiteFull Time
GlobalFoundriesNASDAQ: GFS: Global semiconductor foundry manufacturer and design services provider.
4+ YOEBS or MS in engineering or computer science, 4+ years of systems, hardware architecture, ML systems, or performance engineering experience, analytical modeling expertise, and technical leadership.
Richardson or Santa Clara or Austin or Dallas or San Jose
$106k-$205k/yrOnsiteFull Time
GlobalFoundriesNASDAQ: GFS: Global semiconductor foundry manufacturer and design services provider.
4+ YOEBS or MS in engineering or computer science, 4+ years of systems, hardware architecture, ML systems, or performance engineering experience, analytical modeling expertise, CPU/SoC knowledge, and technical leadership.
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
8+ YOERequires 8+ years building distributed platforms, AI-tool experience, and scalable full-stack coding with Python, TypeScript, Go, React, SQL, GraphQL, and related technologies.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOE12+ years building ML systems and software platforms; expert Python and PyTorch; experience with ML pipelines, evaluation, developer tooling, and LLM/agentic systems; BS/MS in CS, Engineering, or equivalent experience.
Docker: Privately held container application platform helping developers build, share, and run applications.
8+ YOE8+ years professional software engineering experience, 5+ years applied ML experience, bachelor's in CS/Engineering or equivalent, experience shipping ML systems, LLM/agent experience, on-call participation possible.
Physical Intelligence: AI robotics developing foundation models and learning algorithms for robots and physically actuated devices.
Strong software engineering fundamentals with experience building distributed systems, large-scale data pipelines, object storage and batch/streaming systems; ownership mindset and performance focus.
Vancouver or San Francisco or San Jose or Cork or London
$160k-$180k/yrHybridFull Time
Tigera: Secures and observes Kubernetes workloads and AI agents, and created Cali Open Source.
5+ YOERequires 5+ years of ML engineering experience, including 2+ years deploying production ML systems, strong classical ML and anomaly detection skills, LLM application experience, Python, ML frameworks, telemetry data, and communication skills.
Sciforium: AI infrastructure building multimodal models and high-efficiency serving software for developers and teams.
5+ YOE5+ years of ML/AI software engineering experience, production ML systems expertise, and a BS, MS, or PhD in a technical field or equivalent experience. Requires generative AI and distributed ML framework knowledge.
RivianNASDAQ: RIVN: Electric adventure vehicle and technology manufacturer.
5+ YOE5+ years building and scaling ML solutions for auto-labeling and AV perception; strong Python, perception pipeline and system engineering experience; BS/MS/PhD in CS/Robotics/Electrical Engineering or related.
New York City or San Francisco or London or Sydney
$240k-$270k/yrOnsiteFull Time
Sigma Computing: Private cloud analytics platform helping business and technical teams analyze live warehouse data and build AI applications.
10+ YOEBachelor's in CS/Engineering/Mathematics, 10+ years building and deploying production AI/ML systems, expertise in ML/DL, full ML lifecycle experience, foundation-model adaptation experience.
MakerMaker: Private U.S. AI research building autonomous research agents for recursive self-improvement.
6+ YOESenior ML engineer with 6+ years building production-grade ML systems; strong Python; distributed systems experience; familiar with Ray, Kubernetes, and experimentation infrastructure.
General Legal: AI-native law firm serving growing companies with flat-fee commercial, corporate, and employment legal services.
5+ YOERequires 5+ years in software, machine learning, or infrastructure engineering; Python proficiency; production ML infrastructure, cloud, distributed systems, containers, independent system design, and a Computer Science degree or equivalent.
xAI: Artificial intelligence research and development.
2+ YOE2+ years building large-scale production systems or ML infrastructure; degree in CS or related field or equivalent experience; strong Python and compiled-language skills; experience with GPU and distributed systems.
Clera: AI-powered talent agent matching candidates to startup roles.
5+ YOE5+ years building production ML inference or model-serving systems. Requires scalable distributed systems, Docker, Kubernetes, cloud experience, observability tooling, and proficiency in Python, Go, Rust, C++, or Java.