ML Accelerator Architect, Waymo
$170-216k
+ Annual Bonus Program + Equity Incentive Plan
Autonomous driving technology
Be an early applicant
Autonomous driving technology
1001+ employees
Be an early applicant
$170-216k
+ Annual Bonus Program + Equity Incentive Plan
1001+ employees
Company mission
To make it simpler and safer for people to move things and themselves around.
Role
Who you are
- BS degree in Computer Science or Computer Engineering or similar relevant technical field, or equivalent practical experience
- 3+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research
- 1+ years experience with machine learning architectures, acceleration and model optimization
- Strong C++ programming and algorithmic problem solving skills
Desirable
- 1+ years modeling high performance architectures in cycle-aware simulators
- Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency
- Familiarity with ML model architectures and their compute characteristics (bottlenecks, optimization opportunities)
- Experience with microarchitecture design (SystemVerilog or HLS)
What the job involves
- Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack
- To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance
- We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms
- In this hybrid role, you will report to a Hardware Engineering Manager
- Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance
- Architect, simulate and design amazing machine learning solutions for our autonomous driving technology
- Work closely with compiler and model developers to influence engineering trade-offs and future model architectures
- Build scalable tools for simulator modeling and performance evaluation
- Interact with cross-functional engineering teams to identify opportunities and requirements
Our take
Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.
With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$5.6bn
SERIES C
Jun 2021
$2.5bn
GROWTH EQUITY VC
Total funding: $11.1bn
Company HQ
Mountain View, CA
Leadership
Dmitri Dolgov
(Co-CEO, not founder)Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.
Tekedra N. Mawakana
(Co-CEO, not founder)Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.
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