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13 часов назад

Principal Engineer / Director, Motion Planning

200 000 - 280 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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