Назад
4 дня назад

ML ASIC Design Engineer

175 000 - 215 000$
Формат работы
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
ML ASIC Design Engineer (ASIC/ML): Designing high-performance custom silicon and digital ASIC microarchitectures for autonomous driving compute platforms with an accent on ML performance, power efficiency, area, and latency. Focus on building execution units, arithmetic circuits, and programmable engines while translating research requirements into hardware and validating functional and performance correctness.

Location: Hybrid work schedule with office locations in Mountain View, California, or New York City, New York; position is limited to the United States.

Salary: $175,000–$215,000 USD base salary, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Autonomous driving technology company developing fully autonomous vehicle systems and high-performance automotive compute platforms.

What you will do

  • Translate high-level requirements from researchers and architects into hardware features.
  • Specify and design microarchitectures for high-performance machine learning workloads.
  • Explore and optimize digital ASIC designs for power, area, and performance.
  • Design execution units, arithmetic circuits, datapath elements, and programmable engines.
  • Collaborate with verification teams to ensure functional correctness and performance.

Requirements

  • Bachelor’s degree in Computer Engineering or equivalent practical experience.
  • 5+ years of industry experience with SystemVerilog, ASIC RTL design, and microarchitecture.
  • 3+ years designing and specifying microarchitectures for high-performance CPU, GPU, or NPU cores.
  • Fluency in at least one high-level programming language, such as Python or C++.
  • Ability to work in a hybrid schedule from Mountain View, California, or New York City, New York.

Nice to have

  • Experience designing datapath elements for high-performance CPU, GPU, or NPU cores.
  • Experience with Chisel, Scala, or other higher-level hardware DSLs.
  • Knowledge of machine learning algorithms and their hardware mapping.
  • Familiarity with synthesis, power analysis, and formal datapath verification tools.

Culture & Benefits

  • Work with a multidisciplinary compute team developing a high-performance automotive compute platform.
  • Collaborate across hardware, software, research, architecture, and verification teams.
  • Eligible employees may participate in a discretionary annual bonus program.
  • Benefits include an equity incentive plan and company benefits program, subject to eligibility.

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