Senior Motion Planning Engineer – Safety Layer

Job not on LinkedIn

🔥 0 minutes ago

🎰 Nevada, Massachusetts, +1 more states – Remote

🎰 Nevada – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $172k - $229k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Design, implement, and test algorithms for synthesizing and selecting trajectories across asynchronous generation sources • Develop evasive maneuver planning algorithms with low-level control systems for collision avoidance • Evaluate multiple perception sensor modalities for identifying safety-critical scenarios • Construct test and analysis tooling for isolated and system-level safety-layer evaluation • Select test parameters and analyze test results • Validate and improve dynamic simulation environments, including validation against real-world data • Define and implement performance, comfort, and safety metrics • Perform quantitative analysis of fleet-wide vehicle data • Support root-cause analysis of simulation, closed-course, and public-road events • Travel for in-person vehicle testing at Motional and partner deployment and test-track locations, typically once every 4 to 6 months • Maintain cross-functional relationships across the organization and communicate impacts on overall autonomous-vehicle performance

🎯 Requirements

• MS or PhD preferred in Control Theory, Robotics, Computer Science, Applied Math, or a related field • 3+ years of experience developing motion planning and collision avoidance algorithms and components in an industrial setting, preferably in the AV industry • Strong background in modern C++ programming (C++17, C++20), emphasizing high-performance and reliable systems • Experience with trajectory generation through numerical optimization and sampling-based approaches • Experience with cost- and heuristic-based trajectory selection • Experience with multi-modal prediction models • Experience with geometric and physics-based collision detection • Experience with time-series data processing and data visualization • Familiarity with dynamic collision modeling, convex set processing, state machine logic, and multi-rate decision-making processes • Familiarity with agentic-based development tooling • Familiarity with Linux-based operating systems • E-Verify employment eligibility verification for newly hired employees

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) with a company match • Health savings accounts • Life insurance • Pet insurance • Potential bonus compensation • Potential company equity • Inclusive and diverse work environment