10 дней назад
Senior/Staff Software Engineer, Motion Planning
130 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior/Staff Software Engineer, Motion Planning (C++/Robotics): Researching and implementing decision-making and trajectory-generation technologies for autonomous trucks with an accent on safety, comfort, reliability, and uncertainty-aware planning. Focus on integrating optimization and machine learning techniques into safety-critical production systems, reasoning about complex driving interactions, and tuning algorithms on real vehicles.
Location: Santa Clara, CA, United States; hybrid workplace
Salary: $130,000–$220,000 per year
Company
develops AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.
What you will do
- Design and implement decision-making and trajectory-generation algorithms for safe, comfortable, and reliable autonomous driving.
- Bring robotics and machine learning techniques from research into production-grade, safety-critical systems running on real trucks.
- Handle complex driving scenarios, including merges, junctions, and interactions with other road users under uncertainty.
- Use modern C++ numerical optimization frameworks such as CasADi and Acados, along with Git and ROS, to integrate planning algorithms.
- Collaborate with machine learning, prediction, perception, controls, and safety teams to use probabilistic and multi-future scenario representations.
- Perform system diagnostics and tuning with visualization tools and create system designs for cross-functional review.
Requirements
- MS with 1–2 years of relevant experience or a PhD in Computer Science, Robotics, or a related field.
- Strong production software development skills in C++.
- Expertise in path planning, motion planning, trajectory generation, behavior planning, or optimal control.
- Strong foundations in geometry, analysis, probability, kinematics, and dynamics.
- Experience developing and refining planning algorithms on real-world robotic or vehicle platforms.
- Strong written and verbal communication skills for cross-functional collaboration.
Nice to have
- PhD with 1–2 years or MS with 3–4 years of relevant experience.
- Python experience and exposure to deep learning, imitation learning, transformer-based models, or diffusion-based models.
- Familiarity with autonomy safety frameworks such as RSS and collision-avoidance or MRM logic.
- Prior experience with safety-critical systems.
Culture & Benefits
- Work in an innovative, future-oriented field focused on autonomous trucking.
- Opportunities for personal and professional development.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
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