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SoC Performance Engineer, AI Hardware

Tesla

SoC Performance Engineer, AI Hardware

Tesla logo

Tesla

full-time

Posted: January 1, 1970

Number of Vacancies: 1

Job 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.

Locations

  • Austin, Texas, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • proficiency in Python and C++intermediate
  • experience in SoC performance verificationintermediate
  • expertise in debugging hardware issuesintermediate
  • understanding of SoC architecturesintermediate
  • knowledge of AI acceleratorsintermediate
  • knowledge of memory systemsintermediate
  • knowledge of parallel computing principlesintermediate
  • problem-solving and debugging skillsintermediate
  • communication skillsintermediate

Required Qualifications

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

Preferred Qualifications

  • Knowledge of ML workloads, compiler optimizations, or performance modeling tools is a plus (experience)
  • familiarity with hardware description languages (e.g., Verilog/SystemVerilog) is a plus (experience)

Responsibilities

  • 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

Benefits

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

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Tesla logo

SoC Performance Engineer, AI Hardware

Tesla

SoC Performance Engineer, AI Hardware

Tesla logo

Tesla

full-time

Posted: January 1, 1970

Number of Vacancies: 1

Job 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.

Locations

  • Austin, Texas, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • proficiency in Python and C++intermediate
  • experience in SoC performance verificationintermediate
  • expertise in debugging hardware issuesintermediate
  • understanding of SoC architecturesintermediate
  • knowledge of AI acceleratorsintermediate
  • knowledge of memory systemsintermediate
  • knowledge of parallel computing principlesintermediate
  • problem-solving and debugging skillsintermediate
  • communication skillsintermediate

Required Qualifications

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

Preferred Qualifications

  • Knowledge of ML workloads, compiler optimizations, or performance modeling tools is a plus (experience)
  • familiarity with hardware description languages (e.g., Verilog/SystemVerilog) is a plus (experience)

Responsibilities

  • 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

Benefits

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

Target Your Resume for "SoC Performance Engineer, AI Hardware" , Tesla

Get personalized recommendations to optimize your resume specifically for SoC Performance Engineer, AI Hardware. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "SoC Performance Engineer, AI Hardware" , Tesla

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AI & RoboticsAI

Related Jobs You May Like

No related jobs found at the moment.