Tesla
Automotive & MobilityDirect employer career site

Software Engineer, Performance Modeling, SI Hardware

Pay
$140,000 – $390,000 per year
Location
Palo Alto, CA · On-site
Job type
Full-time
Level
Mid-level
Listed
28 days ago

Skills & highlights for this role

  • performance modeling
  • AI hardware architecture
  • software engineering

About the role

Software Engineer, Performance Modeling, SI Hardware | Tesla (Tesla SI)

Location: Palo Alto, California | Req ID: 273570 | Job Type: Full-time

What to Expect

The Tesla SI 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 SI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system.

The work of Tesla's SI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla 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 SI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.

As a key member of the Tesla SI hardware team, the SI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of SI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of SI hardware efficiency.

What You'll Do

  • Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
  • Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
  • Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
  • Analyze and assess implementations of machine learning algorithms on Tesla SI hardware, identifying bottlenecks and opportunities for improvement
  • Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
  • Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
  • Stay abreast of cutting-edge advancements in SI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions

What You'll Bring

  • Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
  • In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
  • Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
  • Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
  • Robust programming skills in C/C++, Python, or other relevant languages
  • Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
  • Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
  • Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
  • Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
  • Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation$140,000 - $390,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Read the original posting

From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Software Engineer, Performance Modeling, SI Hardware role at Tesla, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

What is the salary for the Software Engineer, Performance Modeling, SI Hardware role at Tesla?

The Software Engineer, Performance Modeling, SI Hardware posting at Tesla states compensation of $140,000 – $390,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.

Where is the Software Engineer, Performance Modeling, SI Hardware job at Tesla located?

This Software Engineer, Performance Modeling, SI Hardware position at Tesla is located in Palo Alto, CA (On-site). Always check Tesla's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer, Performance Modeling, SI Hardware at Tesla?

For the Software Engineer, Performance Modeling, SI Hardware role, Tesla highlights experience with performance modeling, AI hardware architecture, software engineering. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer, Performance Modeling, SI Hardware position at Tesla?

This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.