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As a Senior Software Engineer, you will play a pivotal role in developing next-generation autonomous systems, driving innovation in AI-driven path planning and control for our autonomous vehicles. This position offers a unique opportunity to bridge theory and practice, tackling real-world challenges in the fast-evolving field of autonomy. You will be part of a highly focused team, designing and deploying production-grade software that enables our autonomous vehicles to navigate and operate seamlessly in complex indoor and outdoor environments.
Job Responsibility:
Design, implement, and optimize motion planning and control algorithms for autonomous vehicles
Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics
Architect and refine path-planning and tracking control algorithms to improve autonomy performance
Collaborate with cross-functional teams to deploy and validate solutions in both simulated and real-world environments
Balance hands-on development, code reviews, and research to achieve product-driven milestones in a fast-paced startup environment
Integrate cutting-edge robotics research into our autonomous driving stack to enhance system capabilities
Requirements:
MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience
Strong proficiency in C++ and Python with a deep understanding of software development best practices
Solid foundation in robotics principles, particularly motion planning and control systems
Strong background in vehicle dynamics and experience applying these principles to autonomous systems
Knowledge of nonlinear optimization and search-based planning techniques
Familiarity with ROS2 for designing, building, and operating robotic systems
Strong mathematical foundation, including geometry, linear algebra, and probability
Excellent problem-solving abilities with a proactive approach in a fast-paced, collaborative environment
Strong communication and cross-team collaboration skills
Nice to have:
Experience implementing controllers and planners for real-time safety-critical mobile autonomous systems
Experience with simulation environments and developing kinematic/dynamic models for autonomous vehicles
Exposure to machine learning, deep learning, and physics-based foundation models
What we offer:
Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
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