13 часов назад
Principal Engineer / Director, Motion Planning
200 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer / Director, Motion Planning (C++/Python, Autonomous Driving): Leading development of safety-critical motion forecasting and planning software for self-driving vehicles with an accent on fault-tolerant systems, deep learning, and scalable ML pipelines. Focus on actively prototyping novel algorithms, building production planning systems, and ensuring quality, regulatory, and QMS compliance.
Location: Santa Clara, California, United States; Workplace: Hybrid
Salary: $200,000–$280,000 per year; exact compensation varies by skills and experience.
Company
Develops software for self-driving vehicles, including safety-critical motion forecasting and planning systems.
What you will do
- Lead, manage, and expand a team focused on motion forecasting and planning for autonomous driving.
- Own the planning, execution, and success of autonomous driving projects.
- Write production code and develop prototypes to test novel algorithms and ideas.
- Scale end-to-end machine learning pipelines from data ingestion and preprocessing through training, validation, deployment, and monitoring.
- Present progress to senior leadership and cross-functional teams.
- Ensure technical work and team practices meet customer requirements, regulatory standards, quality policies, and QMS requirements.
Requirements
- 7–10 years of experience building data-driven, fault-tolerant systems.
- Proven experience delivering a deep-learning-based system.
- MS or PhD in Computer Science, or equivalent practical experience.
- Extensive experience designing and building modern planning systems.
- Strong C++ and Python development skills, with a focus on robust, efficient, safety-critical software.
Nice to have
- Experience in deep learning, mobile robotics, geometric modeling, and trajectory generation.
Culture & Benefits
- Hybrid work arrangement in Santa Clara, California.
- Culture of experimentation, innovation, technical excellence, and accountability.
- Opportunity to contribute to continuous quality and process improvement.
- AI tools may support parts of the hiring process, while final decisions remain with human reviewers.
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