Aurora
Machine Learning Model Engineer, Motion Planning: Behavior
Aurora, Mountain View, California, us, 94039
Who We AreAurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech and @aurora_inno on Twitter.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
Machine Learning Software Engineer
for our
Motion Planning Team .In this role, you will:Build machine learning approaches for motion planning for creating, generating, and selecting comfortable and safe trajectories for a self-driving vehicle.Develop policies and plans to manage multi-actor interactions and plans under uncertainty.Develop approaches that interleave motion planning with forecasting of other agents.Develop and implement production-grade algorithms for the Aurora Driver.Required Qualifications:BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field.1+ years of industry experience building software in a production environment.Strong programming and software design skills ideally in C++ and/or Python.Knowledge of classical and modern ML approaches such as transformer networks, linear models, recurrent models, convolutional neural networks.Familiarity with modern ML and GPU toolkits such as PyTorch, TensorFlow, JAX, TensorRT, and/or CUDA.Desirable Qualifications:Experience with imitation and reinforcement learning and how machine learning can be used in robotics applications.Experience in designing, building, and productionizing robotics systems, especially decision making systems, motion planning algorithms, state estimation algorithms, probabilistic modeling, or statistical techniques.The base salary range for this position is $144K - $216K 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 AuroraAt 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 have offices in several locations across the United States, where we encourage team and cross-functional collaboration. Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits. We empower our employees and their families with options to further their unique physical, mental, and financial well-being.Safety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way. We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely — no matter what.Aurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).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.Diversity, Equity and InclusionAt Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds. We believe that teamwork, belonging, and trust motivate and support our employees to do their best work.
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Machine Learning Software Engineer
for our
Motion Planning Team .In this role, you will:Build machine learning approaches for motion planning for creating, generating, and selecting comfortable and safe trajectories for a self-driving vehicle.Develop policies and plans to manage multi-actor interactions and plans under uncertainty.Develop approaches that interleave motion planning with forecasting of other agents.Develop and implement production-grade algorithms for the Aurora Driver.Required Qualifications:BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field.1+ years of industry experience building software in a production environment.Strong programming and software design skills ideally in C++ and/or Python.Knowledge of classical and modern ML approaches such as transformer networks, linear models, recurrent models, convolutional neural networks.Familiarity with modern ML and GPU toolkits such as PyTorch, TensorFlow, JAX, TensorRT, and/or CUDA.Desirable Qualifications:Experience with imitation and reinforcement learning and how machine learning can be used in robotics applications.Experience in designing, building, and productionizing robotics systems, especially decision making systems, motion planning algorithms, state estimation algorithms, probabilistic modeling, or statistical techniques.The base salary range for this position is $144K - $216K 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 AuroraAt 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 have offices in several locations across the United States, where we encourage team and cross-functional collaboration. Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits. We empower our employees and their families with options to further their unique physical, mental, and financial well-being.Safety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way. We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely — no matter what.Aurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).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.Diversity, Equity and InclusionAt Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds. We believe that teamwork, belonging, and trust motivate and support our employees to do their best work.
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