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$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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