Software Engineer, Autonomous Vehicles – Motion Planning

🕒 July 23

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 18%

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Helm.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🚘 Automotive

🏭 Manufacturing

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 Corporate Round - Helm.ai on 2025-10

Automotive • Manufacturing • Artificial Intelligence

Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.

📋 Description

• Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding). • Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress. • Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors. • Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones. • Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules. • Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing. • Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.

🎯 Requirements

• MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience. • Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis. • Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees). • A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles. • Hands-on experience with ROS/ROS2 or comparable autonomous middleware. • Experience shipping a planner on public roads and analyzing real-world disengagement data (not required but a plus). • Hands-on experience with tools like CARLA or custom in-house scenario frameworks (not required but a plus).

🏖️ Benefits

• Competitive health insurance options • 401K plan management • Remote-friendly and flexible team culture • Free lunch and fully-stocked kitchen in our South Bay office • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale • The opportunity to work on one of the most interesting, impactful problems of the decade