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Behavior Planning Software Engineer

Job in Mountain View, Santa Clara County, California, 94040, USA
Listing for: Aurora Innovation
Part Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Robotics, Software Engineer
Salary/Wage Range or Industry Benchmark: 139000 - 223000 USD Yearly USD 139000.00 223000.00 YEAR
Job Description & How to Apply Below
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on Linked In.Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We’re searching for a Software Engineer to support and scale efforts for our Behavior Planning  this role, you will Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle

Integrate motion planning with machine learning to create verifiable AI systems for autonomous driving

Design and implement production-grade software for the Aurora Driver Design metric suites and testing workflows for rapid iteration on algorithms

Required Qualifications BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field4+ years of strong programming and software design skills in Python and/or C++, especially in low latency or real-time environments

Experience in designing, building, and product ionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques)
Desirable Qualifications Expertise with GPU or ML toolkits such as PyTorch, CUDA, Tensor Flow, JAX, and/or TensorRTExpertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning)
The base salary range for this position is $139,000 - $223,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy…
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