Senior Path Planning Software Engineer
1 week ago
Robotic Research has provided vehicle autonomy solutions for over 20 years and is a global leader in self-driving technology. Our AutoDrive® autonomy kit is designed to tackle the industry's greatest challenges from GPS-denied environments to mixed-traffic and unpaved roads. The commercial division, RR.AI, works with trusted OEM partners to deliver these autonomous solutions across the United States, Canada, Australia, Europe, and Saudi Arabia. The defense division of Robotic Research designs and implements solutions that improve the efficiency and effectiveness of logistics, enhance situational awareness, and save lives by extending the warfighter's reach through transformable robots, automated vehicles, and GPS-denied localization devices.
We offer a fast-paced environment where innovation comes first, and a breadth and depth of skills, knowledge, and interests are highly valued. We are leading this dynamic revolution in technology with team members throughout the U.S including our main offices in Clarksburg, MD and San Antonio, TX.
Citizenship Requirements: Due to the type of information accessible in this position, all applicants must be U.S citizens and nationals, lawful permanent and temporary U.S. residents, and lawful asylees and refugees. Candidates requiring visa sponsorship will not be considered for this position.
Position Responsibilities:
The Senior Path Planning Software Engineer will be responsible for...
- Research and develop innovative algorithms that solve motion planning problems for both on-road, mixed traffic and off-road autonomous driving, including behavior planning with uncertainty and trajectory optimization
- Write high-quality and reliable software for autonomous driving in complex scenarios
- Collaborate with engineers across localization, perception, prediction, machine learning, mapping, and infrastructure to conduct system integration and tests
- Implementing, tuning, and testing novel algorithms to enhance components such as motion planning, dynamic/static obstacle avoidance, complex fine positioning maneuvers, and platooning
- Knowledge and experience in advanced learning algorithms including deep learning, reinforcement learning, inverse reinforcement learning
- Proven ability to collaborate within the planning team and cross-functional teams
- Proven experience in one of the following: behavior planning with uncertainty, trajectory optimization, computational geometry, model predictive control, machine learning for motion planning
- Experience designing and implementing innovative planning algorithms on real-world autonomous vehicles
- Strong C++ programming and software design skills
- Strong knowledge of data structures, graph theory, planning algorithms, physics (vehicle dynamics)
- Masters or PhD in Robotics, Computer Science, Engineering, Math/Statistics or other related fields, or 3+ years of experience working with autonomous vehicles
- Hands-on experiences on autonomous vehicles or ground wheel robots, especially those deployed in urban environments.
- Company holidays
- Flex time
- Paid time off
- Health benefits including competitive medical, dental, vision plans
- 401k employer matchup to 4%
- Employer paid short-term and long-term disability insurance
- Employer paid basic life insurance
- Voluntary life insurance
- Relocation reimbursement for qualifying situations
- Tuition reimbursement
- Discretional annual bonus and profit sharing
- Employee Assistance Program
All benefits are subject to change. Please discuss with a member of the Robotic Research HR team for details.
Employment is conditioned upon successful completion of a thorough background screening and drug test.[JB1]
Diversity and Equal Opportunity Statement: At Robotic Research, we don't just accept differences, we celebrate them We strive to attract, develop and retain curious & highly qualified individuals representing a variety of backgrounds, cultures, skills & perspectives. Robotic Research is committed to building a diverse team and is proud to be and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, marital status, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
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