Job description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver aurora.tech 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 aurora.tech or follow us on LinkedIn linkedin.com. 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 Team. In 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 field - 4+ 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 productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques) Desirable Qualifications - Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT - Expertise 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 aurora.tech provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom aurora.tech. 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 status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Requirements

Must-haves

BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field
4+ 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 productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques)
Desirable Qualifications
Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT
Expertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning)
Working at Aurora
Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom.
Our commitment to safety
Our commitment to inclusion
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gomachine learningaipythonml

Platform: ashby
Effort: quick