Autonomous Race Engineer (Motion Planning) - Code19 Racing : Job Details

🏎️ Join the First Professional Autonomous Racing Franchise – Code19 Racing is Calling! 🏎️

Are you ready to shift your engineering career into high gear? Code19 Racing, the world's first professional autonomous racing team, is seeking talented engineers with a passion for autonomous vehicle controls and motion planning to join our revolutionary journey. As part of our team, you'll work on cutting-edge AI-driven race cars, pushing the boundaries of autonomous technology on the world stage. Collaborate with top minds in the field and play a pivotal role in our quest to dominate the global competition. If you're passionate about robotics, AI, and the thrill of racing, come fuel our drive to the finish line. Apply now and be part of a revolution that's accelerating the future of motorsports and autonomous technology.

We're looking for top talent in decision making and hight speed motion planning algorithms. If you are up for the challenge, apply today.

Qualifications

• Experience in robotics/motion planning with a proven track record of implementing effective algorithms.
• Experience with C++ software development for performance-critical systems.
• Master's degree in engineering, robotics, computer science, or a related field.
• Experience with high-speed autonomous systems, including motion planning for dynamic and competitive environments.
• Real-time systems expertise, with the ability to develop latency-aware algorithms for time-critical tasks.
• Familiarity with simulation environments, for developing and testing planning solutions.
• Knowledge of racing dynamics, including vehicle dynamics, tire models, and racing strategies.
• Proficiency with ROS 2 and its application in robotics and motion planning.

Responsibilities

• Perform research, develop algorithms, and build software for motion planning for autonomous racing, including race line development, passing capabilities, and maximizing performance at the car's limits.
• Search-based methods, Sampling-based methods, Optimization-based methods, Decision-making frameworks
• Integrate and evaluate motion planning and prediction algorithms to enable effective race craft in competitive scenarios.
• Interface with perception, prediction, and controls modules for seamless trajectory optimization and path tracking.

Develop race-specific optimization techniques for:

• Maximizing lap times.
• Enabling overtaking strategies.
• Managing risk in high-speed environments.
• Create predictive models to anticipate the behavior of other autonomous race cars and adapt planning in real time.
• Continuously benchmark and tune planning algorithms to optimize hardware performance and meet system goals.
• Leverage telemetry and race data to enhance algorithm performance and improve the car's competitive edge.
• Participate in field testing on the track to validate algorithms and incorporate real-world feedback.

What We OfferOpportunities for world-wide travel

• Be part of the most exciting autonomous racing revolution on the planet.
• Work remotely and collaborate with some of the brightest minds in AI and motorsports.
• Competitive salary and huge opportunities for growth as we expand the future of AI racing.
• The chance to build a global brand and leave your mark in a fast-growing, high-tech industry.