SoC Performance Engineer, AI Hardware

Tesla 

📍 Austin, United States 🇺🇸

full-time
senior
Expired
Posted —
This job posting has expired View All Embedded Systems Engineer Jobs

Key Skills

SoCverificationPythonC++emulation

Industry

Consumer ElectronicsAutomotive

Job Description

What To Expect
Join Tesla’s AI Hardware team to pioneer the next generation of AI accelerators. In this role, you will focus on system-level performance verification for our custom System-on-Chip (SoC) designs, ensuring optimal performance, power efficiency, and reliability in AI workloads. The ideal candidate is an experienced SoC performance engineer with a strong background in verification.

What You'll Do

  • Develop and execute subsystem and system-level performance tests to verify AI hardware performance
  • Debug performance issues in simulation, emulation, and post-silicon environments, identifying root causes and proposing optimizations
  • Collaborate with hardware architects, software teams, and design engineers to validate SoC architectures against machine learning workloads
  • Analyze performance metrics (e.g., throughput, latency, power consumption) and correlate results across pre- and post-silicon stages
  • Create automated test frameworks and scripts to streamline performance verification processes
  • Conduct architectural explorations and trade-off analyses to guide SoC design improvements for AI acceleration
  • Document findings, methodologies, and recommendations to inform cross-functional teams and future hardware roadmaps


  • What You'll Bring

  • Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
  • Previous industry/research experience in SoC performance verification, including subsystem and system-level testing
  • Proven expertise in debugging hardware issues in simulation (e.g., RTL simulators), emulation platforms (e.g., FPGA-based), or post-silicon environments
  • Strong proficiency in Python and C++ for test development, automation, and analysis; familiarity with hardware description languages (e.g., Verilog/SystemVerilog) is a plus
  • Solid understanding of SoC architectures, AI accelerators, memory systems, and parallel computing principles
  • Excellent problem-solving and debugging skills, with a track record of resolving complex performance bottlenecks
  • Ability to work collaboratively in fast-paced teams, with clear communication skills for technical documentation and presentations. Knowledge of ML workloads, compiler optimizations, or performance modeling tools is a plus


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • , Tesla