Sr Staff Software Engineer, ML Accelerators

Job Posted 8 Days Ago Reposted 8 Days Ago
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Mountain View, CA
212K-340K
Senior level
Automotive
The Role
The role involves developing and maintaining machine learning software and hardware strategies, collaborating with teams, and executing R&D in ML technology.
Summary Generated by Built In

Who we are

Aurora’s mission is to safely, swiftly, and broadly deliver the benefits of self-driving technology, making transportation safer, more accessible, and more efficient than ever before. The Aurora Driver will usher in a new era of mobility and logistics, bringing 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 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 Software Engineer to focus on ML Accelerators

In this role, you will

  • Work closely with our autonomy and hardware teams to understand our on-vehicle ML technology
  • Develop perspectives on where opportunities and gaps might be in our machine learning software and hardware strategy with a longer-term horizon in mind
  • Maintain relationships and intel across the ML ecosystem including both established players and start-ups (accelerators, software modules, etc.) for both existing and future products
  • Execute internal research and development of ML software and hardware technology
  • Surface high-impact findings to relevant Engineering leadership, keeping feedback loop going to influence Aurora’s ML strategy
  • Help drive value to key engineering stakeholders

 Required Qualifications 

  • Minimum 5+ years of professional experience 
  • BS, MS, or PhD in Computer Science or related field
  • Strong programming skills in C++, Python
  • 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)
  • Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models
  • Familiarity with ML-specific accelerators (NPUs, TPUs, IPUs, etc…)
  • 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 

  • Experience with inference on edge platforms
  • Experience with cloud ML training pipelines
  • HPC experience

Pay Range: 

The base salary range for this position is $212,000 - $340,000.  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-WS1


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. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

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.

Top Skills

C++
Cuda
Halide
Mxnet
Opencl
Openvx
Python
PyTorch
TensorFlow
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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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