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Senior Software Engineer – Autonomy – Behavior – Planning & Controls
Company | Cyngyn |
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Location | Mountain View, CA, USA |
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Salary | $190000 – $220000 |
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Type | Full-Time |
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Degrees | Master’s, PhD |
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Experience Level | Senior |
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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.
Responsibilities
- 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.
Preferred Qualifications
- 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.