8 autonomous systems engineer jobs at 5 companies in Manteca, CA
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Staff Systems Integration Engineer (Power & Compute)
Fremont, California, United States
$190k-$247k/yrHybridFull Time
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
8+ YOE8+ years systems integration experience with mechatronic or autonomous systems, expertise in debugging, instrumentation, and test development; bachelor’s or master’s in engineering; mentorship and cross-functional leadership skills.
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
6+ YOE6+ years in systems integration for mechatronic or autonomous systems; proven experience with hardware/software integration, test development, instrumentation, data-driven root-cause analysis, and cross-functional technical leadership.
DeepRoute.ai: Develops full-stack autonomous driving software and VLA models.
2+ YOEMaster's in Mechanical Engineering (or related) required; 2+ years in planning algorithms and autonomous driving software systems; proficiency in C++, Python, Machine Learning, Git, and simulation tooling.
3+ YOE3+ years software engineering experience in autonomous driving/robotics; expert C++ and Python; knowledge of motion planning, mapping, system design, and middleware.
Experience in autonomous systems or robotics, strong C++ proficiency, knowledge of motion planning, trajectory optimization, control theory; B.S./M.S. in CS, Robotics, or related field.
Staff Applied AI Researcher - Agentic Reasoning Systems (India)
Dublin, California, United States
OnsiteFull Time
Articul8: Builds and deploys secure generative AI platforms for enterprises.
8+ YOEPhD or MSc in Computer Science, ML, AI, Robotics; 8+ years AI/ML research; 3+ years building LLM-based or autonomous AI systems; experience in multi-agent coordination, evaluation of autonomous systems; Python software engineering; technical leadership.
Lucid MotorsNASDAQ: LCID: Designs and manufactures high-performance luxury electric vehicles.
Design and operate cloud and hybrid infrastructure for ADAS/autonomous systems; lead an in-house DevOps/infrastructure org; build CI/CD and ML pipelines; implement IaC (Terraform/GitOps); manage AWS/OCI/Azure; ensure security and regulatory compliance (e.g., GDPR).