Tesla Motors, Inc.
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
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
#J-18808-Ljbffr
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
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
#J-18808-Ljbffr