Software Engineer, Foundation Inference Infrastructure
132000.00 $
Published date: 2025/05/31
- Location: Palo Alto, California, United States
Software Engineer, Foundation Inference Infrastructure
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 222387
Job Type Full-time
What to Expect
As a member of the Foundation Inference Infrastructure team, you will design and implement a diverse set of backend services and tools that power autonomy software and processes. The systems you build will have a large impact on autonomy, from fleet data collection & processing of Machine Learning workflows to evaluation and validation of the software stack.
As an Software Engineer on the Inference Infrastructure team, you bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion towards building and optimizing backend pipelines for ML inference workloads.
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
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
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)
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
$132,000 - $390,000/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 employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, 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 .
Software Engineer, Foundation Inference Infrastructure
Tesla participates in the E-Verify Program
Apply
https://www.tesla.com/careers/search/job/software-engineer-foundation-inference-infrastructure-222387
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 222387
Job Type Full-time
What to Expect
As a member of the Foundation Inference Infrastructure team, you will design and implement a diverse set of backend services and tools that power autonomy software and processes. The systems you build will have a large impact on autonomy, from fleet data collection & processing of Machine Learning workflows to evaluation and validation of the software stack.
As an Software Engineer on the Inference Infrastructure team, you bring top-notch software engineering skills and can contribute to our systems immediately. A strong candidate will be an excellent software generalist with passion towards building and optimizing backend pipelines for ML inference workloads.
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
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
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)
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
$132,000 - $390,000/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 employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, 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 .
Software Engineer, Foundation Inference Infrastructure
Tesla participates in the E-Verify Program
Apply
https://www.tesla.com/careers/search/job/software-engineer-foundation-inference-infrastructure-222387
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