Tesla

What to Expect

The Simulations Team is responsible for software engineering and operations of large-scale software infrastructure used in Software-in-the-Loop and Processor-in-the-Loop simulations of Tesla vehicles at both the system and component levels. This large-scale infrastructure simulates billions of miles of vehicle driving each day.

In this role you will have the opportunity to lead major initiatives such as bringing up the new generation of Processor-in-the-Loop cluster infrastructure, Bazel/Buck Remote Execution clusters, introduce distributed observability at scale and leading infrastructure rollout procedures on top of Kubernetes and Tesla’s internal orchestration systems.

Come join a team of deeply knowledgeable engineers who are committed to building the most robust and reliable systems using cutting-edge software development tools and practices. You will solve some of the most ambiguous and challenging problems in the embedded software space, helping to revolutionize the way the world produces electric vehicles.

What You’ll Do

• Lead the bring-up of major software infrastructure initiatives related to running Software-in-the-Loop and Processor-in-the-Loop simulations at scale
• Lead the bring-up of Buck2/Bazel Remote Execution and Content Addressable Storage platforms
• Design and implement observability infrastructure across multiple distributed systems, enabling tracing, monitoring, metrics collection, and real-time event streaming
• Influence architectural decisions of internal software engineering with intention of achieving scalable, cloud-first service architecture compatible with Kubernetes
• Fully automate software release roll-out processes to Kubernetes and other orchestration technologies, ensuring that these processes are fully self-sufficient and require no manual intervention

What You’ll Bring

• 3+ years of relevant technical experience
• Experience with Remote Execution/CAS build systems using Bazel or Buck2
• Highly experienced with Linux internals with the focus on performance profiling of Linux filesystems, networking and I/O (eBPF, LTTNG, ptrace, gprof)
• Advanced experience with Kubernetes, including setting up Control Planes, setting up robust deployment operations, using k8s operators, and event-based scaling
• Proficiency in at least one high-level programming language such as Python, Rust, Go, and/or C++
• Experience in data-driven capacity planning, within both physical data centers and Cloud infrastructure (AWS, GCP or Azure) 
• Troubleshooting and full-cycle incident response, including mitigation, correction, and prevention
• Smart but humble, with a bias for action and for enabling others’ success 
• Experience building and maintaining Simulation Infrastructure is a plus

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)
• LGBTQ+ care concierge services
• 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

Expected Compensation

$140,000 - $300,000/annual salary + cash and stock awards + benefits

Pay 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.

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.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice