192 ai ml infrastructure engineer jobs at 88 companies in Larkspur, CA
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AI Infrastructure Engineer
San Francisco, California, United States
$150k-$220k/yrOnsiteFull Time
Sciforium: Building multimodal AI models and high-performance model serving infrastructure.
5+ YOE5+ years in systems or infrastructure engineering with GPU, HPC, or ML infrastructure experience; technical bachelor's or master's degree; Linux, Kubernetes, schedulers, configuration management, Python, Bash, containers, GPUs, and RDMA expertise.
Lisbon or Atlanta or London or San Francisco or Santiago or Sydney or Tokyo or Toronto or Australia or Canada or United States
HybridFull Time
PagerDutyNYSE: PD: Platform for real-time incident response and digital operations automation.
5+ YOE5+ years of software engineering experience building production distributed systems and AI systems, with expertise in LLMs, agents, retrieval, cloud infrastructure, containers, Kubernetes, reliability, and evaluation.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
12+ YOEBachelor's degree or 4+ years equivalent experience; 12+ years software, data science, or analytics experience; 3+ years AI/ML; 4+ years Python, cloud infrastructure, and technical leadership.
Python, AWS, Azure, GCP, Google Cloud Platform, FHIR, HL7, HIPAA, GitHub, GitHub Actions, Docker, Terraform, CI/CD, Large Language Models (LLMs)
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOE5+ years in software engineering, backend infrastructure, data systems, or ML infrastructure; distributed systems and scalable design expertise; imaging model experience; API, pipeline, cloud, and production engineering experience; programming proficiency.
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
10+ YOE10+ years software engineering; 5+ years ML platforms/infrastructure; distributed systems; Python/Go/Java; Docker/Kubernetes; MLOps tools; cloud experience; knowledge of ML models.
Artificial Analysis: Independent AI benchmarking and performance analysis platform.
3+ YOE3+ years software engineering experience, Python and pandas proficiency, OpenAI API experience, cloud infrastructure familiarity, data visualization and communication skills; Bachelor’s or Master’s preferred.
Docker: Provides a platform for building, sharing, and running containerized applications.
5+ YOE5+ years applied ML/AI experience, 4+ years software engineering, experience with LLM-based systems, model lifecycle and ML infrastructure, bachelor's in CS/Engineering or equivalent, strong communication and mentoring skills.
Senior AI Infrastructure Engineer - Model Training
Mountain View, California, United States
$190k-$260k/yrOnsiteFull Time
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
2+ YOEDegree in CS or related field,2+ years ML systems experience,expertise in distributed training,high-performance data pipelines,GPU performance and profiling,Python and PyTorch skills.
8+ YOEBachelor's degree or equivalent,8+ years software development,5+ years product launches,experience with large-scale distributed systems and ML infrastructure,EMR not mentioned,TensorFlow/PyTorch proficiency preferred.
Lead AI Infrastructure Engineer, Reinforcement Learning
Santa Clara, California, United States
$179k-$306k/yrHybridFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Design and operate distributed RL training infrastructure at scale; strong systems experience in ML platforms; proficiency with PyTorch/JAX, NCCL/MPI-style distributed training, C++/Python performance tuning; Bachelor's degree required.
Phenix Space: Builds robotic systems for on-orbit satellite assembly and upgrades.
5+ YOE5+ years building or operating ML infrastructure; deep GPU and distributed training knowledge; experience with PyTorch/DeepSpeed/Megatron/Ray, inference stacks (vLLM, TGI, Triton), Python and C++/Rust/Go, Kubernetes and IaC, and observability tooling.
Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure)
New York City or San Francisco or San Jose or Cambridge or McLean or Plano
$209k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOEBachelor's degree plus 6 years or master's degree plus 4 years developing AI/ML technologies; 6 years programming with Python, Go, Scala, or Java. Leadership and cloud AI experience preferred.
Cargomatic: Digital marketplace connecting shippers with local trucking capacity.
3+ YOE3+ years software engineering with focus on AI/ML or automation; hands-on AI-powered applications; experience with agentic AI concepts, LLMs, and modern AI frameworks; cloud infrastructure (AWS); backend (Node.js); frontend (React).
Denver or San Francisco or New York City or San Jose or Scottsdale
$160k-$240k/yrHybridFull Time
Gusto: Cloud-based payroll and HR software for small businesses.
4+ YOERequires 4+ years of software engineering experience in Python, Ruby, or Java; ML infrastructure and platform-service experience; cloud-platform experience; and familiarity with AI frameworks and AI-assisted development tools.
Harell Data: A managed platform that enables secure sharing and high-performance use of scientific datasets for model training and deployment.
5+ YOE5+ years building and operating production infrastructure for ML workloads; hands-on Kubernetes on AWS or GCP (GPU workloads); strong CS fundamentals, system design, incident response, and customer-facing debugging experience.
Zensors: AI platform that turns existing cameras into intelligent sensors.
BS/MS/PhD in CS or EE; strong C/C++ and Python; model optimization, quantization, pruning; GPU performance tuning; profiling tools; cross-functional collaboration.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
5+ YOEDegree in CS/CE or related, 5+ years systems/DevOps/ML infrastructure experience, hands-on AI/GPU cluster and Linux/Kubernetes expertise, Python/Bash scripting, and knowledge of storage, networking, and security.