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Senior Software Engineer - Planning

Job Number:  44731
Group:  Magna Electronics
Division:  Magna Electronics Boston
Job Type:  Permanent/Regular
Location: 

BOSTON, MASSACHUSETTS, US, 02210

Group Description

Magna’s ADAS technologies are shaping an autonomous future and improving lives.

Full autonomy is coming. But to create the technology which will bring it into view, you need the desire and ability to adapt complete ADAS systems or modular solutions to any vehicle, for any mobility need.

Magna’s electronics solutions connect OEMs to their customers with features that improve their lives. It’s our expertise across the entire vehicle, key strategic partnerships and culture of innovation that allow us to make our industry-leading technologies road-ready. And it is how we’ll continue to build a safer, smarter and more connected mobility experience for all people.

 

Role Summary

The Senior Software Engineer (Planning), researches and develops motion control algorithms and software for ADAS and autonomous vehicles (AVs). The focus is developing high-speed dynamic motion control and low-speed kinematic motion control of lateral (steering) and longitudinal (acceleration and braking) manoeuvres. For this position, we are looking for a software engineer with the ability to understand autonomous vehicles in general and a strong level of expertise in ADAS, AI or robotics.

Key Responsibilities

  • Work on core planning and control algorithms such as routing, behavior planning, trajectory planning, feedback controllers, etc. 
  • Develop state-of-the-art algorithms for planning under uncertainty using stochastic optimization techniques with linear and non-linear objective functions 
  • Develop behavioral reasoning framework to support navigation in complex traffic scenarios, such as lane changes, merges, double-parked vehicles, and blind turns 
  • Develop functionally safe systems that fail gracefully and safely exit traffic when difficult situations arise
  • Implement real-time algorithms on CPU/GPU in C++ 
  • Build tools and infrastructure to verify and evaluate the performance of the planner/controller over time

Key Qualifications/Requirements

Education

  • MS or PhD in Engineering; Computer Science Electrical, Aerospace, and Robotics or a related field, or equivalent practical experience

Experience

  • 5+ years of experience in research or development in a technology area related to ADAS and Autonomous Vehicles
  • Ability to produce production-quality C++ 
  • Ability to build applications for robot path planning using a broad range of tools such as numerical optimization, feedback control, system modeling
  • Ability to develop safety critical navigation systems for low-latency compute platforms 
  • Experience with robot path planning techniques like energy functions, behavior trees, jerk minimization, stochastic optimization, etc. 

Awareness. Unity. Empowerment.

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.


Nearest Major Market: Boston

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