Tesla
Verification Infrastructure & DevOps Engineer, AI Hardware
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Verification Infrastructure & DevOps Engineer, AI Hardware
role at
Tesla
The AI Hardware team is seeking a Verification Infrastructure/DevOps Engineer to design, build, monitor, and optimize verification workflows critical to silicon development. This role collaborates closely with the verification team, compute cluster administrators, and EDA vendors to accelerate and streamline Tesla’s silicon design processes.
What You’ll Do
Configure and customize workflows using Tesla Corporate IT/DevOps-supported tools such as GitHub, Jenkins, and the Atlassian suite (Jira, Confluence)
Optimize and maintain CI/CD workflows tailored for silicon design projects to ensure rapid iteration and feedback loops
Develop and maintain configurable custom tools and workflows for silicon design tasks, including simulation, regression management, linting, and CDC/RDC analysis
Collaborate with EDA vendors to enhance the performance, scalability, and efficiency of vendor tools
Monitor and troubleshoot verification infrastructure to ensure efficient use of compute and license resources
Automate repetitive verification processes
Document workflows, tools, and best practices
Work with compute cluster administrators to optimize resource allocation, job scheduling, and workload balancing in high‑performance computing environments
What You’ll Bring
Degree in Computer Science, Electrical Engineering, or equivalent experience
Strong programming skills in Python for scripting, automation, and tool development
Experience with source control systems (e.g., Git) and continuous integration tools (e.g., Jenkins, GitLab CI/CD)
Familiarity with software development best practices, including version control, code reviews, and testing methodologies, and their application to silicon design
Understanding of silicon design and verification processes, including simulation, formal verification, and static analysis
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, and network domains
Experience with data visualization or reporting tools (e.g., Grafana, Tableau) for workflow and resource monitoring
Prior experience in a DevOps or Site Reliability Engineering (SRE) role, particularly in environments supporting hardware design or scientific computing
Familiarity with hardware description languages (e.g., Verilog, VHDL) to better understand the context of verification workflows
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: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Commuter benefits
Employee discounts and perks program
Locations: Austin, TX; Palo Alto, CA.
#J-18808-Ljbffr
Verification Infrastructure & DevOps Engineer, AI Hardware
role at
Tesla
The AI Hardware team is seeking a Verification Infrastructure/DevOps Engineer to design, build, monitor, and optimize verification workflows critical to silicon development. This role collaborates closely with the verification team, compute cluster administrators, and EDA vendors to accelerate and streamline Tesla’s silicon design processes.
What You’ll Do
Configure and customize workflows using Tesla Corporate IT/DevOps-supported tools such as GitHub, Jenkins, and the Atlassian suite (Jira, Confluence)
Optimize and maintain CI/CD workflows tailored for silicon design projects to ensure rapid iteration and feedback loops
Develop and maintain configurable custom tools and workflows for silicon design tasks, including simulation, regression management, linting, and CDC/RDC analysis
Collaborate with EDA vendors to enhance the performance, scalability, and efficiency of vendor tools
Monitor and troubleshoot verification infrastructure to ensure efficient use of compute and license resources
Automate repetitive verification processes
Document workflows, tools, and best practices
Work with compute cluster administrators to optimize resource allocation, job scheduling, and workload balancing in high‑performance computing environments
What You’ll Bring
Degree in Computer Science, Electrical Engineering, or equivalent experience
Strong programming skills in Python for scripting, automation, and tool development
Experience with source control systems (e.g., Git) and continuous integration tools (e.g., Jenkins, GitLab CI/CD)
Familiarity with software development best practices, including version control, code reviews, and testing methodologies, and their application to silicon design
Understanding of silicon design and verification processes, including simulation, formal verification, and static analysis
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, and network domains
Experience with data visualization or reporting tools (e.g., Grafana, Tableau) for workflow and resource monitoring
Prior experience in a DevOps or Site Reliability Engineering (SRE) role, particularly in environments supporting hardware design or scientific computing
Familiarity with hardware description languages (e.g., Verilog, VHDL) to better understand the context of verification workflows
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: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Commuter benefits
Employee discounts and perks program
Locations: Austin, TX; Palo Alto, CA.
#J-18808-Ljbffr