ML Accelerator Architect (AI)

TL;DR

ML Accelerator Architect (AI): Analyze workloads and architect machine learning solutions for autonomous driving compute platform with an accent on high-performance hardware mapping, simulation, and optimization. Focus on designing novel HW-friendly implementations, influencing model architectures, and building scalable performance evaluation tools.

Location: Onsite or hybrid in Mountain View, California or New York City, New York

Salary: $170,000—$216,000 USD

Company

Autonomous driving technology company powering fully autonomous ride-hail service with the hirify.global Driver.

What you will do

• Analyze workloads and map them efficiently to hardware, proposing novel HW-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
• Interact with cross-functional teams to identify opportunities and requirements

Requirements

• BS in Computer Science, Computer Engineering, or similar, or equivalent experience
• 3+ years designing/architecting complex high-performance architectures (CPUs, GPUs, ML accelerators)
• 1+ years with machine learning architectures, acceleration, and model optimization
• Strong C++ programming and algorithmic problem-solving skills

Nice to have

• 1+ years modeling high-performance architectures in cycle-aware simulators
• Track record of analyzing workloads and delivering novel HW+SW solutions for performance and efficiency
• Familiarity with ML model architectures and compute characteristics
• Experience with microarchitecture design (SystemVerilog or HLS)

Culture & Benefits

• Discretionary annual bonus program
• Equity incentive plan
• Generous company benefits program