Software Engineer, Decision Making & Path Planning

Requirements:

• Bachelors degree in Computer Science, Machine Learning, Robotics, a similar technical field, or equivalent practical experience.
• General software engineering experience and proficiency in at least one mainstream programming language, such as C, C++, Python, or Java, plus familiarity with common data structures and algorithms.
• Strong communication and collaboration skills.
• Strong problem-framing and modeling abilities, with creative thinking to tackle challenging problems that have not been solved across the industry.
• Preferred: Masters degree in Computer Science, Machine Learning, Robotics, or a similar technical field.
• Preferred: Software engineering experience solving motion-planning or related robotics problems.

Responsibilities:

• Design architectures, algorithms, and systems for high-performance, highly reliable Level 4 autonomous-driving planning.
• Optimize end-to-end model outputs and develop safety fallbacks through post-processing, helping ensure vehicle behavior is safe and controllable and supporting an HD-map-independent Level 4 autonomous-driving system.
• Design and develop a redundant system that meets Level 4 capabilities and requirements using lower compute power, selected sensors, and end-to-end technology.
• Design architectures and develop systems for analyzing and processing road-test data at scale.
• Develop simulation platforms and use extensive road-test data to make simulated scenarios better reflect real-world road tests.

Technologies:

• Java
• Machine Learning
• Python
• Robotics
• Big Data
• C++

More

Founded in Silicon Valley in 2016, we are a global autonomous-mobility company operating Robotaxi, Robotruck, and Personally Owned Vehicle businesses. We are focused on commercializing autonomous driving and developing safe capabilities for deployment worldwide. Our team works on a core area of autonomous driving: enabling vehicles to navigate using real-time conditions, including roads, surrounding environments, other vehicles, and pedestrians. We have accumulated nearly 21 million miles of autonomous driving globally as of August 2023 and became publicly listed on NASDAQ in November 2024. Our recognition includes CNBCs 2022 Disruptor list and the inaugural XB list of private deep-tech companies. The annual base salary range is $120,000–$200,000; pay may vary based on qualifications, skills, experience, and location. Total compensation may also include bonuses or incentives and restricted stock units. Eligible employees receive medical, dental, and vision coverage; traditional and Roth 401(k) plans; life insurance; paid vacation and public holidays; family leave; short- and long-term disability; and complimentary food and snacks.

last updated 44 week of 2026