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Verification Infrastructure & DevOps Engineer, AI Hardware

Tesla • 🌐 In Person

In Person Posted 1 day, 11 hours ago

Job Description

What to Expect

The AI Hardware team is seeking an Infrastructure/DevOps Engineer with a focus on hardware acceleration platforms to design, build, monitor, and optimize workflows critical to silicon development. This role collaborates closely with the verification team, software development teams, and EDA vendors to accelerate and streamline Tesla’s silicon design processes using emulation and FPGA-based prototyping systems such as Synopsys Zebu and HAPS, Cadence Palladium and Protium, and Mentor Veloce. The ideal candidate will combine software development best practices with hardware acceleration expertise, ensuring robust, transparent, and efficient workflows for hardware acceleration model building and execution.

We are open to hiring in Austin, TX; Palo Alto, CA.

What You'll Do* Develop and maintain configurable workflows for hardware acceleration model building

Develop and maintain workflows for hardware acceleration runtime use, including user scheduling, job monitoring, and debug flows

Collaborate with EDA vendors to enhance the performance, scalability, and efficiency of vendor tools for emulation and prototyping environments

Monitor and troubleshoot verification infrastructure, including hardware acceleration platforms, to ensure efficient use of compute and license resources

Automate repetitive verification processes related to platform setup, design integration, and regression testing on emulation and FPGA systems

Document workflows, tools, platform configurations, and best practices to facilitate knowledge sharing and team onboarding

What You'll Bring* Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience

Strong programming skills in Python for scripting, automation, and tool development

Experience with source control systems (e.g., Git)

Familiarity with software development best practices, including version control, code reviews, and testing methodologies, and their application to hardware acceleration workflows

Proven ability to work in cross-functional teams, balancing the needs of hardware engineers, software developers, and IT administrators

Strong problem-solving skills to debug complex infrastructure issues spanning software, hardware acceleration platforms, and network domains

Knowledge of hardware acceleration platforms

Compensation and Benefits

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 is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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