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Full-Time

Sr Staff Software Engineer

ML Accelerators

Confirmed live in the last 24 hours

Aurora Innovation

Aurora Innovation

1,001-5,000 employees

Develops autonomous driving systems for vehicles

Data & Analytics
Robotics & Automation
Automotive & Transportation
Hardware
Industrial & Manufacturing
AI & Machine Learning

Compensation Overview

$212k - $340kAnnually

+ Bonus + Equity Compensation

Senior, Expert

Mountain View, CA, USA

Category
Software QA & Testing
Software Engineering
Required Skills
Python
Tensorflow
CUDA
Computer Vision
Linux/Unix
Requirements
  • 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
Responsibilities
  • Work closely with autonomy and hardware teams to understand on-vehicle ML technology
  • Develop perspectives on opportunities and gaps in machine learning software and hardware strategy
  • Maintain relationships across the ML ecosystem including established players and start-ups
  • Execute internal research and development of ML software and hardware technology
  • Surface high-impact findings to relevant Engineering leadership
  • Help drive value to key engineering stakeholders

Aurora is developing the Aurora Driver, an intelligent autonomous driving system designed for multiple vehicle types, including freight-hauling trucks and ride-hailing passenger vehicles. The technology incorporates a fusion of sensor types, high definition mapping data, and continuous training on public roads and in virtual tests to ensure safe and efficient autonomous transport.

Company Stage

IPO

Total Funding

$5.4B

Headquarters

Mountain View, California

Founded

2017

Growth & Insights
Headcount

6 month growth

5%

1 year growth

9%

2 year growth

14%

Benefits

Medical, Vision, Life Insurance

Paid leave

Vacation, Holidays & Sick Time

LinkedIn Learning

Aurora Academy

401(k)

Commuter Benefits

Flexible Spending Account

Onsite Food

PerkSpot

Working from Home Support

Emotional & Physical Wellness

Employee Assistance Program