Software Engineer - Deep Learning Acceleration @ Aurora - Mountain View, CA

Job Overview

2 months ago

Software Engineer - Deep Learning Acceleration

Aurora - Mountain View, CA

Who We Are

At Aurora, we’re on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. It all starts with the Aurora Driver, a platform created from industry-leading hardware and software and designed to adapt across a variety of vehicle types and industries.

We’re led by a team of self-driving luminaries, and we’ve forged strategic partnerships with leading transportation companies—including ride-hailing network Uber, truck-manufacturers PACCAR and Volvo Trucks, and the world’s largest automaker Toyota—setting us up to deliver the Aurora Driver in both trucks and passenger vehicles. We are funded by Amazon, Uber, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock, and Index Ventures.

Aurora is in the best position to lead the self-driving space with a team of unparalleled depth and expertise, the technology to deliver, and the partnerships to build a transformative business for the long-term.

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.

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.

About Aurora

Founded in 2017, Aurora was started by industry luminaries, and now we’re a team with a multitude of perspectives and experiences. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Model X and Autopilot programs. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. Regarded as the most experienced leadership team in the industry, these three bring decades of expertise, passion and focus to realizing our mission.

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