367 research systems engineer jobs at 102 companies in Morgan Hill, CA
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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
Gridmatic: AI-powered energy supplying and optimizing clean electricity for commercial and industrial customers.
Enrolled MS or PhD student in EE or Energy Systems; coursework in unit commitment/economic dispatch/OPF; familiarity with power flow and network modeling; Python programming; comfort with linear and MILP optimization.
DatologyAI: AI data-curation that automatically selects and optimizes training data for companies developing deep-learning models.
4+ YOEBachelor's or equivalent, 4+ years research lab experience, strong ML systems and distributed training background, software engineering and empirical research skills; PhD preferred; publication/open-source contributions valued.
Senior Research Engineer - AI-Native Online Datastore Systems
San Jose, California, United States
$213k-$450k/yrOnsiteFull Time
TikTok: Short-form mobile video and social media platform.
Research background (PhD or thesis-based Master's), proficiency in Python and Go/C++/Java, expertise in LLM application engineering, distributed systems knowledge, and experience translating research into production.
Joby AviationNYSE: JOBY: Developing electric vertical take-off and landing (eVTOL) aircraft.
12+ YOEBachelor's in engineering,12+ years aerospace systems engineering with chief-engineer or technical-authority experience,accountability for systems architecture and safety case,fluency with ARP4754A/ARP4761 and DO-178C/DO-254/DO-160,ability to travel to flight tests.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years robotics hardware/software full-stack; Bachelor's in CS/Robotics/Engineering; Python, Rust, C++; ROS, Gazebo/MuJoCo; on-site at NVIDIA HQ; teleoperation and control stack experience.
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOE8+ years robotics industry experience, deploy/debug neural models on hardware, implement real-time control, teleoperation and sensor fusion; proficiency in Python, Rust, C++, ROS, and physics simulators.
Rhoda AI: Private robotics startup building robot foundation models for autonomous industrial tasks in manufacturing, logistics, automotive, and ecommerce.
Proven experience improving large-scale distributed training performance; strong ML stack knowledge; expertise in training systems for multimodal data; ability to optimize compute, memory, and communication.
Senior / Staff AI Research Engineer, Embodied Systems Lead
Milpitas, California, United States
OnsiteFull Time
RoboForce: Physical AI robotics building general-purpose robots for industrial operators in solar, mining, shipping, and manufacturing.
Lead end-to-end embodied systems for on-robot inference, data collection, teleoperation, and on-robot RL. Strong C++ and Python skills, ROS/ROS2 experience, systems and real-time engineering background, prior leadership on robotic systems.
New York City or London or Zurich or Palo Alto or Copenhagen
$200k-$400k/yrHybridFull Time
Normal Computing: Applied AI and silicon hardware/software serving semiconductor design and manufacturing institutions.
PhD in CS, AI, or ML or equivalent research experience; publications preferred. Requires Python, ML frameworks, research systems, evaluation harnesses, data curation, reproducibility, and clear communication.
WindBorne Systems: Private weather-intelligence building smart balloons and AI forecasts for governments and businesses.
Strong ML research and engineering skills with Python and PyTorch, experience with large messy datasets, research taste, and ability to convert experiments into reusable systems.
Mistral AI: Developer of open-weight and frontier AI models.
4+ YOE4+ years in data infrastructure/MLOps or infrastructure engineering; proficiency in Python; experience with Kubernetes and distributed systems; knowledge of large-scale compute and storage platforms.
Mountain View or Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek
$123k-$338k/yrOnsiteFull Time
AccentureNYSE: ACN: Global professional services delivering 360° value.
5+ YOEBachelor's degree in computer science, computer engineering, or related field; 5+ years Python or Node.js/TypeScript and AI/ML systems experience; research-to-production expertise preferred.
Python, Node.js, TypeScript, FastAPI, asyncio, Kubernetes, OpenTelemetry, Microsoft Excel
Early Career Systems Engineer - W76-1/-2 Weapon Systems Engineer, Onsite
Albuquerque or Livermore
$102k-$200k/yrOnsiteFull Time
Sandia National Laboratories: National security laboratory focusing on technology and engineering innovation.
Bachelor's degree in a relevant discipline required; graduate engineering degree preferred. Requires ability to obtain and maintain DOE Q clearance, U.S. citizenship, and independent engineering or scientific research capability.
Research Engineer – Reinforcement Learning (RL) Systems & Infrastructure (Seed Infra)
San Jose, California, United States
OnsiteFull Time
ByteDance: Global technology specializing in AI-powered content platforms.
Design and build scalable RL systems and infrastructure for large-scale model training; expertise in distributed systems, GPU optimization, Python/C++, and RL workflows.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
10+ YOEBS in a related field with 10+ years in biomedical/optical engineering; hands-on optical systems development; strong optical simulations; cross-functional collaboration; excellent communication and documentation.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
Ph.D. in Computer Science or Electrical/Computer Engineering; strong distributed systems, HPC, AI workloads; programming in C/C++, Python; Linux kernel, Open vSwitch; CUDA, PyTorch, Kubernetes; network protocols.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
PhD completed or near completion; strong programming and system-building skills; experience with CUDA/PyTorch/Kubernetes; network protocols; distributed systems; written and verbal communication.
Fireworks AI: AI is a private AI infrastructure serving developers and enterprises with model training and inference.
Strong programming (Python/C++/Rust), ML framework experience (PyTorch/JAX/TensorFlow), distributed systems experience (CUDA/NCCL/MPI), strong math background, and track record implementing deep learning algorithms.