Verification Infrastructure & DevOps Engineer, AI Hardware
Tesla
Verification Infrastructure & DevOps Engineer, AI Hardware
Job Description
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. The ideal candidate will combine software development best practices and hardware verification needs, ensuring robust, scalable, transparent, and efficient workflows.We are open to hiring in Austin, TX; Palo Alto, CA.
Locations
- Austin, Texas, United States
Salary
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
- programming skills in Pythonintermediate
- scriptingintermediate
- automationintermediate
- tool developmentintermediate
- source control systemsintermediate
- continuous integration toolsintermediate
- software development best practicesintermediate
- version controlintermediate
- code reviewsintermediate
- testing methodologiesintermediate
- silicon designintermediate
- verification processesintermediate
- simulationintermediate
- formal verificationintermediate
- static analysisintermediate
- problem-solving skillsintermediate
- data visualizationintermediate
- reporting toolsintermediate
- DevOpsintermediate
- Site Reliability Engineering (SRE)intermediate
- hardware description languagesintermediate
- Verilogintermediate
- VHDLintermediate
Required Qualifications
- Degree in Computer Science, Electrical Engineering, or equivalent experience (experience)
- Strong programming skills in Python for scripting, automation, and tool development (experience)
- Experience with source control systems (e.g., Git) and continuous integration tools (e.g., Jenkins, GitLab CI/CD) (experience)
- Familiarity with software development best practices, including version control, code reviews, and testing methodologies, and their application to silicon design (experience)
- Understanding of silicon design and verification processes, including simulation, formal verification, and static analysis (experience)
- Proven ability to work in cross-functional teams, balancing the needs of hardware engineers, software developers, and IT administrators (experience)
- Strong problem-solving skills to debug complex infrastructure issues spanning software, hardware, and network domains (experience)
- Experience with data visualization or reporting tools (e.g., Grafana, Tableau) for workflow and resource monitoring (experience)
Preferred Qualifications
- Prior experience in a DevOps or Site Reliability Engineering (SRE) role, particularly in environments supporting hardware design or scientific computing (experience)
- Familiarity with hardware description languages (e.g., Verilog, VHDL) to better understand the context of verification workflows (experience)
Responsibilities
- 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 (Clock Domain Crossing/Reset Domain Crossing) 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
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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Verification Infrastructure & DevOps Engineer, AI Hardware
Tesla
Verification Infrastructure & DevOps Engineer, AI Hardware
Job Description
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. The ideal candidate will combine software development best practices and hardware verification needs, ensuring robust, scalable, transparent, and efficient workflows.We are open to hiring in Austin, TX; Palo Alto, CA.
Locations
- Austin, Texas, United States
Salary
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
- programming skills in Pythonintermediate
- scriptingintermediate
- automationintermediate
- tool developmentintermediate
- source control systemsintermediate
- continuous integration toolsintermediate
- software development best practicesintermediate
- version controlintermediate
- code reviewsintermediate
- testing methodologiesintermediate
- silicon designintermediate
- verification processesintermediate
- simulationintermediate
- formal verificationintermediate
- static analysisintermediate
- problem-solving skillsintermediate
- data visualizationintermediate
- reporting toolsintermediate
- DevOpsintermediate
- Site Reliability Engineering (SRE)intermediate
- hardware description languagesintermediate
- Verilogintermediate
- VHDLintermediate
Required Qualifications
- Degree in Computer Science, Electrical Engineering, or equivalent experience (experience)
- Strong programming skills in Python for scripting, automation, and tool development (experience)
- Experience with source control systems (e.g., Git) and continuous integration tools (e.g., Jenkins, GitLab CI/CD) (experience)
- Familiarity with software development best practices, including version control, code reviews, and testing methodologies, and their application to silicon design (experience)
- Understanding of silicon design and verification processes, including simulation, formal verification, and static analysis (experience)
- Proven ability to work in cross-functional teams, balancing the needs of hardware engineers, software developers, and IT administrators (experience)
- Strong problem-solving skills to debug complex infrastructure issues spanning software, hardware, and network domains (experience)
- Experience with data visualization or reporting tools (e.g., Grafana, Tableau) for workflow and resource monitoring (experience)
Preferred Qualifications
- Prior experience in a DevOps or Site Reliability Engineering (SRE) role, particularly in environments supporting hardware design or scientific computing (experience)
- Familiarity with hardware description languages (e.g., Verilog, VHDL) to better understand the context of verification workflows (experience)
Responsibilities
- 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 (Clock Domain Crossing/Reset Domain Crossing) 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
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
Tags & Categories
Answer 10 quick questions to check your fit for Verification Infrastructure & DevOps Engineer, AI Hardware @ Tesla.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs