Software Engineer – Deep Learning Acceleration

Who We Are

Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Volvo, PACCAR, Uber, Uber Freight, FedEx, and U.S. Xpress. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Texas and has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Detroit, MI. To learn more, visit www.aurora.tech.

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 focus on Deep Learning Acceleration.

In this role, you will

Be doing performance analysis and optimization of Deep Learning networks running on the Autonomous Vehicle(AV). The scope of optimization spans to onboard(deployment on the AV) as well as Training on large scale data-center. SWE will work on various problems like software architecture, system performance and latency. 

Required Qualifications 

  • Minimum 5+ years of professional experience 
  • BS, MS, or PhD in Computer Science or related field
  • Strong programming skills in C++, Python
  • Comfortable with CUDA programming
  • High Performance Computing experience, including parallel algorithm design
  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, MXNet, etc.)
  • Basic understanding of computer vision deep learning models.
  • Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)
  • Ability to quickly learn and adapt to new technology
  • Ability to work on large code bases and a fast growing environment.
  • Strong communication skills
  • Comfortable with Linux/other unix environments

Desirable Qualifications

  • Programming experience in C++ for a real world robotic system
  • Motion planning or other autonomy experience(robotics, systems software, computer vision, gaming, or mapping)

#LI-DAR

#Mid-Senior

Working at Aurora

At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.

We have offices in 8+ locations across the United States. We offer a competitive benefits package to qualifying employees. Our Career Page includes everything you need to know about working at Aurora.

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.

We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit. You can find all the latest news on our Blog

Individuals seeking employment at Aurora are considered without regard to 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.