Software Engineer, AI Infrastructure

• Keep the training fleet up; Drive reliability and efficiency of GPU clusters so research and production training progress is not gated on infrastructure toil or silent degradation
• Ship automation as product; Replace manual ops with reliable, testable software, APIs, job pipelines, operators/controllers, and libraries other engineers and on-call can depend on
• Own observability and remediation paths; Build metrics, logging, alerting, and automated remediation (e.g. Prometheus/Grafana-based stacks) that detect bad nodes, sick GPUs, fabric/storage faults, and scheduler failures and fence or repair safely at scale
• Raise training reliability through software; Model failure domains, reduce blast radius of HW/SW faults on long-running multi-node jobs, and improve effective capacity (less idle accelerators, fewer silent stragglers)
• Develop performance-oriented systems tooling; Build and extend tools that measure and improve throughput/stability across OS, network, storage, and runtime layers for real distributed training workloads
• Integrate with scheduling and workload platforms; Engineer against and improve HPC/AI scheduling and orchestration surfaces (e.g. Slurm/LSF and related platforms; containers/K8s where used) so capacity is allocatable, debuggable, and efficient
• Partner across the stack working with ML infrastructure users, networking, data center, and hardware/vendor partners to bring up capacity and expose clean software interfaces, not ad-hoc runbooks alone
• Participate in a 24O7 rotation for critical training infra; invest in SLIs/SLOs, runbooks-as-code, and permanent fixes that drive pages down over time

• Strong software engineering instincts applied to infrastructure: you write maintainable automation and services, not only operate tickets
• Proficiency in Python and/or Bash (additional languages a plus); comfort building tools others will run in production
• Deep Linux experience in production (boot/image or config management, networking stack, performance debugging, package/driver realities on real hardware)
• GPU cluster operations or AI training infrastructure (NVIDIA stack, driver/CUDA ecosystem familiarity, multi-node job behavior)
• HPC schedulers and workload managers (Slurm, LSF, or similar); exposure to Kubernetes for ML/infra workloads a plus
• High-performance networking: RDMA, RoCEv2, InfiniBand, congestion behavior, and host-side tuning for collective-heavy training
• Parallel / high-performance storage (Lustre, GPFS/Spectrum Scale, BeeGFS, or cloud/parallel equivalents) and its failure modes under training I/O
• Experience with configuration management / IaC-style automation at fleet scale (e.g. Ansible, or equivalent)
• Willingness to participate in a 24O7 on-call rotation for critical AI training infrastructure (cadence shared during hiring; escalation and automation are first-class goals of the role)
• Degree in CS, EE, or related field, or equivalent practical experience

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

Expected Compensation $140,000 - $252,000/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.