Sr. Software Engineer, AI Inference Ops

What to Expect

The Supercomputing team is responsible for the high-performance computing and machine learning (AI/ML/HPC) infrastructure that drives the development of all the innovations in AI, Full-Self-Driving (FSD), Robotaxi & Optimus engineering. We are seeking a highly skilled Software Engineer to join our team and contribute to the development of Supercomputing platform. As a key member of our infrastructure team, you will design, develop, and deploy software that ensures the reliability, availability, and scalability of our datacenter operations. You will focus on building the control plane for our infrastructure, including resource management, provisioning, observability and automation.

What You'll Do

• Design and develop software components for our infrastructure control plane, including: resource management and allocation; provisioning & automation of infrastructure components; monitoring and management of datacenter resources; integration with distributed storage systems
• Collaborate with cross-functional teams to ensure seamless integration of our software with our datacenter infrastructure
• Develop and maintain code for infrastructure software, focusing on areas such as: scalability & performance optimization; availability, reliability, & fault tolerance; automation & orchestration of datacenter operations
• Work closely with the operations team to ensure smooth deployment and operation of infrastructure software
• Participate in the testing and validation of infrastructure software to ensure it meets quality and reliability standards
• Collaborate with other Engineers to identify and resolve technical issues, and to continuously improve the design and operation of our datacenter infrastructure

What You'll Bring

• Degree in Computer Science, Electrical Engineering, or related field or equivalent experience
• 5+ years of experience in software development, with a focus on infrastructure software and datacenter operations for large scale gpu/hpc clusters
• Strong programming skills in languages such as Python, Go, or Bash
• Experience with Slurm resource management and job scheduling systems
• Experience with distributed high performance storage systems
• Strong understanding of system design principles, including scalability, availability, and reliability
• Experience with agile development methodologies and version control systems such as Git
• Excellent problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional team
• Knowledge of containerization technologies, such as Docker or Kubernetes

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

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.