Sr. SoC Power & Performance Architect, AI Hardware - Palo Alto [277107]

$160,000 - $312,000 yearly

Job Description

The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD) and Tesla's humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.

The Tesla AI Hardware team is looking for a Sr. SoC Power & Performance Architect to work on industry-leading AI accelerators in Palo Alto, CA. The candidate is expected to define power requirements, drive power-performance trade-off analysis, and lead cross-functional efforts to deliver best-in-class energy efficiency across our custom silicon, from early architecture through mass production.

The Role

  • Lead the definition of power requirements for AI accelerator SoCs to optimize Power-Performance-Area (PPA) under peak current and thermal constraints
  • Own and drive cross-functional teams to deliver on competitive power key performance indicators (KPIs) for one or more major SoC IPs such as the compute fabric, memory subsystem, or multimedia subsystem
  • Propose and drive power and performance optimizations throughout the design process, from concept to mass productization
  • Apply low-power design techniques including multi-VT, clock gating, power gating, and Dynamic Voltage-Frequency Scaling (DVFS/AVS)
  • Drive power-performance trade-off analysis to inform engineering reviews and product roadmap decisions
Anthony Antonucci

Qualifications

Relevant experience in Tesla AI; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No