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# SoC Performance Engineer, SI Hardware

- **Company:** Tesla Motors
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, C++ (Programming Language), Computer Engineering, Software Debugging, Field-Programmable Gate Array (FPGA), Hardware Description Language, Python (Programming Language), Machine Learning, Subsystems, System on a Chip, SystemVerilog, Verilog, Parallel Computation, System-level Testing, Information Technology, Low Latency, Hardware Acceleration, Machine Learning Operations, Hardware Debugging
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86137578/1

## About the Role

* Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience
 * 3+ years of 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

## Description

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 and debugging, comfortable working rapidly in a small-team environment.
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