TL;DR

Ml Accelerator Architect (Hardware Engineering): Designing and architecting high-performance machine learning hardware accelerators for autonomous driving compute platforms with an accent on workload analysis, hardware-software co-design, and performance optimization. Focus on building scalable simulation tools, collaborating with cross-functional teams, and innovating novel hardware-friendly ML implementations.

Location: Mountain View, California, United States or New York City, New York, United States

Salary: $170,000–$216,000 USD

Company

%hirify_global% is an autonomous driving technology company focused on building the world's most experienced and trusted autonomous driver to improve mobility and safety.

What you will do

Analyze workloads and map them efficiently to hardware, proposing novel hardware-friendly implementations and projecting performance
Architect, simulate, and design machine learning solutions for autonomous driving technology
Collaborate with compiler and model developers to influence engineering trade-offs and future model architectures
Build scalable tools for simulator modeling and performance evaluation
Engage with cross-functional engineering teams to identify opportunities and requirements

Requirements

Location: Must be onsite in Mountain View, CA or New York City, NY, United States
BS degree in Computer Science, Computer Engineering, or equivalent practical experience
3+ years designing/architecting complex, high-performance architectures such as CPUs, GPUs, or ML accelerators
1+ years experience with machine learning architectures, acceleration, and model optimization
Strong C++ programming and algorithmic problem-solving skills

Nice to have

Experience modeling high-performance architectures in cycle-aware simulators
Track record of delivering novel hardware and software solutions to improve performance and efficiency
Familiarity with ML model architectures and compute characteristics
Experience with microarchitecture design using SystemVerilog or HLS

Culture & Benefits

Top-notch medical, dental, and vision insurance, mental wellness support, and gym membership
Competitive compensation, bonus opportunities, equity, and employee discounts
Flexible work options including onsite, hybrid, and remote opportunities with paid time off and family leave
Education reimbursement, professional development, mentorship, and volunteer time off
Access to Google offices, cafes, wellness centers, and at-home fitness and cooking classes