
Software Engineer, Inference Infrastructure
About the role
What to Expect:
As a member of the Foundation Inference Infrastructure team, you will design & implement a diverse set of backend services and tools that power autonomy software and hardware development processes. The systems you build will have a large impact on autonomy, from accelerating chip design & Machine Learning workflows, compiler development, model validation, and evaluation & validation of the complete software-hardware stack. In this role, you'll bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion for building scalable infrastructure and optimizing backend pipelines for ML inference workloads and hardware design automation.
What You'll Do:
Design and implement backend services and tooling that handles iteration and batch processing of inference, simulation, and evaluation workloads Work closely with the other Autonomy teams to build foundational components as well as bridge missing pieces in ML compiler and runtime infrastructure while designing for scalability, reliability, security and high performance
What You'll Bring:
Proficiency with Python & Py Torch Familiarity of managing hardware inference chips like TPUs and of optimizing machine learning inference workloads for low latency and scale Familiarity with Operating Systems concepts such as networking, processes, file systems and virtualization Familiarity with concurrency programming Familiarity with C++ and / or Golang Experience with Linux, container orchestrator like Kubernetes or similar and bare metal setup tools like Ansible or similar Experience with data stores like PostgreSQL and Redis Strong problem-solving mindset with the ability to navigate ambiguous requirements and break down complex technical challenges into actionable solutions Self-directed learning approach; comfortable diving into unfamiliar codebases, technologies, and problem domains to quickly become productive
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: 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**$132,000 - $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.
Benefits and perks
•Healthcare
•Paid Time Off
•Retirement Plan
•Learning Budget
Required skills
Python
Kubernetes
Linux
PostgreSQL
Redis
PyTorch
Machine Learning
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