Develop motion planning and decision-making algorithms for autonomous vehicles. The role involves applying optimization, reinforcement learning, guidance, and related techniques, with coding in Python and C++. Candidates need at least three years of algorithm engineering experience and an advanced degree or equivalent background in a quantitative field. The position is full-time and on-site in San Jose, with opportunities for growth toward team leadership.
Description
Mid-Senior Algorithm Engineer | Motion Planning & Decision Making
Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US.
Responsibilities:
In this role, the focus is on developing cutting-edge motion planning and decision-making algorithms for autonomous vehicles.
This position offers a clear growth path toward team leadership.
Full-Time, On-Site in San Jose, CA, US.
RequirementsRequirements:
- Experience: At least 3 years of hands-on experience as an Algorithm Engineer
- Education: M.Sc. (or equivalent) in Computer Science, Electrical Engineering, Physics, or a related quantitative field from a top-tier university
- Outstanding B.Sc. graduates from leading universities are also encouraged to apply!
- Technical Expertise: Proven experience in one or more of the following fields: Motion Planning, Decision Making, Optimization, Reinforcement Learning, Guidance, or LLM Fine-tuning
- Coding Skills: Proficiency in both Python and C++ (at a code-review standard)
- Bonus Points: Previous experience within a multi-disciplinary R&D team in robotics or autonomous systems
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop and optimize C++ and Python software for autonomous behavior and motion planning. Design trajectory-planning algorithms for single- and multi-agent systems, build testing and simulation tools, diagnose concurrency and performance issues, and validate software on simulated and real hardware. Collaborate across teams on requirements, architecture, flight testing, and product maturation while mentoring engineers and applying advances in robotics and learned planning.
Top Skills:
Autonomous SystemsC++Ci/CdHardware-In-The-Loop SimulationLinuxPythonRoboticsSoftware-In-The-Loop SimulationVision-Language ModelsVision-Language-Action Models
Artificial Intelligence • Mobile • Other • Transportation
Develop motion and behavioral planning algorithms for Level 4 autonomous vehicles. Responsibilities include lane-change and merge decision-making, trajectory optimization, geometry and velocity planning, world modeling, cost-function design, simulation and real-world testing, debugging, and collaboration with perception, prediction, and control teams. The role requires PhD-level research experience in robotics or related fields, strong C++ skills, and publications in leading conferences.
Top Skills:
Autonomous VehiclesBehavioral PlanningC++Motion PlanningRoboticsSimulationTrajectory Optimization
Software
Research, develop, and productionize motion-planning algorithms for autonomous trucks. The role covers decision-making, trajectory generation, optimal control, uncertainty-aware planning, and integration with perception, prediction, controls, and safety systems. Engineers use C++ optimization frameworks and robotics tooling to build safe, comfortable, reliable behavior for complex driving scenarios. Responsibilities also include system diagnostics, algorithm tuning, technical design reviews, and cross-functional collaboration in safety-critical environments.
Top Skills:
AcadosC++CasadiDeep LearningDiffusion ModelsGitImitation LearningMachine LearningPythonRosRssTransformer ModelsWebviz
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
