ML Software Engineer, Behavior Planning

Job Posted 3 Days Ago Posted 3 Days Ago
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Pittsburgh, PA
Mid level
Automotive
The Role
Develop and implement machine learning methods for motion planning in self-driving vehicles, ensuring safety and efficiency in trajectories.
Summary Generated by Built In

Who We Are

Aurora’s mission is to deliver 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 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'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Aurora’s latest news, visit aurora.tech or follow us on LinkedIn.

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 $105K - $157K 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.

#LI-JL261

#Mid-Senior 

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.

To learn more about life at Aurora please visit our company culture page. 

Top Skills

C++
Cuda
Jax
Python
PyTorch
TensorFlow
Tensorrt
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The Company
HQ: Mountain View, CA
1,579 Employees
On-site Workplace
Year Founded: 2017

What We Do

Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit aurora.tech.
Aurora is backed by Amazon and Sequoia, among others, and has partnerships with leading transportation companies including PACCAR, Uber, FCA, and Hyundai Group. It tests its vehicles in the Bay Area, Pittsburgh, and Dallas and has offices in those cities as well as in Bozeman, Seattle, Denver, and Detroit.

Aurora hires people who want to build the future of transportation.

Join us!

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