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10 дней назад

Senior/Staff Software Engineer, Motion Planning

130 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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