Motion Planning Engineer – Trajectory Generation

🔥 16 hours ago

🎰 Nevada, Massachusetts, +1 more states – Remote

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💵 $142k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of Motional

Motional

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

• Develop state-of-the-art trajectory optimization algorithms for safe and comfortable vehicle motion • Integrate trajectory optimization algorithms with the overall motion planning architecture • Design and build robust, scalable software for on-road autonomous vehicle impact • Evaluate control techniques and motion planning algorithms • Provide code and design reviews in C++ • Use testing, simulation, and continuous integration toolchains • Explain trade-offs and complex concepts to peers and leaders to drive decisions • Collaborate with ML decision/behavior planning, prediction, and vehicle control teams • Create project proposals supporting long-term technical roadmaps across multiple subsystems • Mentor junior team members • Conduct innovative research and lead design processes for production-ready autonomous vehicles

🎯 Requirements

• 0–3+ years of C++ software development; educational projects, internships, and PhD research count • Bachelor's, Master's, or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred • Experience with Model Predictive Control (MPC), motion planning, planning under uncertainty, vehicle dynamics and control, and simulation environments • Understanding of numerical optimization algorithms, including interior point method and sequential quadratic programming • Experience with optimization solvers such as IPOPT and Gurobi • Past experience owning and leading technical development from problem formulation and algorithm design through implementation • Knowledge of Python is a bonus • Strong team player with excellent communication skills • Must satisfy employment eligibility verification requirements through E-Verify

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Possible bonus compensation • Possible company equity

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