Staff Software Engineer, Generative AI Platforms

Tesla, Inc.; Palo Alto (CA); On-site; USD 164,000 - 356,000; Full time

Job summary

An innovative company is seeking a Staff Software Engineer to drive the development of cutting-edge generative AI applications. This role focuses on enhancing core components of Tesla's advanced AI platform, ensuring efficiency and scalability. You will work closely with a talented team to translate complex research into production-ready services, influencing the future of generative AI technology. If you're passionate about AI and eager to make a significant impact in a fast-paced environment, this opportunity is perfect for you. Join a forward-thinking team that values creativity and innovation, and help shape the future of technology at Tesla.

Benefits

Medical plan options with $0 payroll deduction

Dental and vision plans with $0 paycheck contribution

401(k) with employer match

Employee Stock Purchase Plans

Paid sick and vacation time

Commuter benefits

Employee discounts and perks program

Back-up childcare support

Weight Loss and Tobacco Cessation Programs

Voluntary benefits including pet insurance

Qualifications

• Experience with generative AI applications and large language models.
• Strong Python skills and familiarity with ML frameworks.

Responsibilities

• Develop and deliver generative AI applications on Tesla's platform.
• Enhance core components of the generative AI system.

Skills

Generative AI applications

Large Language Models (LLMs)

Python programming

Machine Learning frameworks

Production deployment

Tools

TensorFlow

PyTorch

JAX

LangChain

TGI/vLLM

Job description

Staff Software Engineer, Generative AI Platforms

This Software Engineer will be at the forefront of developing & delivering cutting-edge applications on Tesla's advanced generative AI platform. Your primary focus will be on building & enhancing core components of the generative AI system, ensuring they are both efficient and scalable. You will collaborate closely with team members to translate complex research ideas into robust, production-ready services. This role requires a strong foundation in modern machine learning frameworks and a proven ability to deliver working reliable solutions in production environments. With a keen eye for detail and a commitment to reliability, you will deliver solutions that not only meet, but exceed user expectations, driving innovation and impact across a wide range of applications. Your contributions will directly influence the future of generative AI technology and its practical implementations at Tesla.

What You’ll Do

• Ship reliable, cutting-edge generative AI applications on Tesla's in-house platform
• Improve & maintain the underlying components of the generative AI platform
• Extract as much performance and utility out of specialized hardware as possible
• Help solve a wide variety of far-reaching problems using modern AI- and ML-based techniques
• Work in the challenging space of transferring concepts between research ideas to productionized services
• Deliver products and services that have wide-ranging impacts for their users

What You’ll Bring

• Experience delivering real-world generative AI applications, especially ones based around Large Language Models (LLMs)
• Practical experience with the Python ML ecosystem (Tensorflow, PyTorch, JAX, LangChain, TGI/vLLM, etc.)
• Knowledge of Python internals for techniques necessary to scale to large numbers of concurrent users
• Proficiency in taking ideas from research prototypes and deploying them into productionized services
• A track record of shipping reliable applications that require minimal support and incur minimal downtime
• A healthy respect for inherent complexity and a deep suspicion of accidental complexity

Compensation and 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

$164,480 - $355,920/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.

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.