Job Number: 48499
Group: Magna Electronics
Division: Magna Electronics Boston
Job Type: Permanent/Regular
Location: BOSTON
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, Path Planning', researches and develops path planning algorithms and software for ADAS and autonomous vehicles (AVs). The focus is on developing collision-free trajectories, vehicle models and optimization and constraint criteria that meet feature requirements and provide a safe, comfortable and comparable on-road experience to that of a human driver. 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, robotics, or AI.
Key Responsibilities

• Work on path planning and control algorithms such as collision-free trajectory generation and dynamic management, map-based routing, lane keeping, lane change, merges, tracking a lead vehicle, managing jerk and lateral g's, etc.
• Develop algorithms for path planning under uncertainty and for both static and dynamic obstacles
• Develop functionally safe systems that obey the rules of the road and meet feature requirements
• Build tools and infrastructure to verify and evaluate the performance of the planner/controller over time
• Implement real-time algorithms in C++ for a resource-constrained vehicle and test, both in simulator and on-vehicle
• Deliver to schedule in a production setting

Key Qualifications/Requirements
Education

• MS or PhD in Robotics; Computer Systems Engineering; Computer Science; Aerospace, 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
• Experience developing path planning algorithms like A*, D* and RRTs; implementing optimization criteria and parametrized vehicle models.
• Experience developing safe path profiles in a dynamic, high-risk environment
• Ability to produce production-quality C++ code

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