Назад
12 дней назад

Staff ML Accelerator Architect Software Engineer, GPU Machine Learning Engineer, Prediction & Planning Machine Learning Engineer / Applied Scientist, Prediction & Planning ASIC Design Verification Engineer

170 000 - 216 000$
Формат работы
onsite/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff ML Accelerator Architect Software Engineer (GPU/ML Accelerators): Architecting and optimizing high-performance machine learning compute solutions for autonomous driving with an accent on workload mapping, custom hardware, model optimization, and performance evaluation. Focus on designing hardware-friendly implementations, building scalable simulator tools, and balancing hardware, compiler, and model architecture trade-offs.

Location: On-site in Mountain View, California, or New York City, New York

Salary: $170,000–$216,000 USD base salary per year

Company

Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.

What you will do

  • Analyze workloads and map them efficiently to CPUs, GPUs, and machine learning accelerators.
  • Architect, simulate, and design machine learning solutions for autonomous driving.
  • Propose hardware-friendly implementations and project performance, power, and latency.
  • Collaborate with compiler and model developers on engineering trade-offs and future model architectures.
  • Build scalable tools for simulator modeling and performance evaluation.
  • Work with cross-functional engineering teams to identify requirements and optimization opportunities.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • At least 3 years of experience designing or architecting complex, high-performance CPU, GPU, or machine learning accelerator architectures, including through doctoral research.
  • At least 1 year of experience with machine learning architectures, acceleration, and model optimization.
  • Strong C++ programming and algorithmic problem-solving skills.
  • Ability to work on site in Mountain View or New York City.

Nice to have

  • Experience modeling high-performance architectures in cycle-aware simulators.
  • Experience analyzing workloads and delivering novel hardware-software solutions that improve performance and efficiency.
  • Familiarity with machine learning model architectures, compute bottlenecks, and optimization opportunities.
  • Experience with microarchitecture design using SystemVerilog or HLS.

Culture & Benefits

  • Work in a multidisciplinary Compute Team developing a high-performance automotive compute platform.
  • Collaborate closely across hardware, software, compiler, and machine learning engineering functions.
  • Eligibility for a discretionary annual bonus program and equity incentive plan.
  • Company benefits are available subject to eligibility requirements.

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