Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - ML Infrastructure

Applied Machine LearningUpdated on Nov 12

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Engineering or Computer Science, or equivalent experience and evidence of exceptional ability.
Proficiency in Python and/or C++, with at least 5 years of software development experience.
Demonstrated experience developing and maintaining production-grade machine learning infrastructure.
Experience working with training frameworks and understanding modern machine learning concepts.
Experience working with machine learning compilers.
Experience with distributed computing and big data analytics.
Experience leading a software product from concept to production.

Responsibilities

Lead the design and development of model training infrastructure for advanced data science applications in manufacturing.
Collaborate with engineers across multiple departments on model design and hardware selection for efficient compilation and execution.
Build scalable and reliable pipelines to deploy models and monitor performance metrics in a production environment.
Keep up-to-date and conduct research to identify new machine learning training approaches and incorporate them into the platform.
Provide technical guidance to teams within Manufacturing's data engineering and software community.

Category	Manufacturing
Location	Palo Alto, California
Requisition ID	254825
Type	Full-time

Job Description

<p>Tesla is looking for an experienced, full-stack Software Engineer to contribute to the development of the data factory and software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solve high-volume manufacturing problems. Battery development is at the heart of Tesla’s mission, and this is an exciting opportunity to address the central challenges in scaling electric vehicle manufacturing and to see the physical impact of your work. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.</p>

Job Responsibilities

Lead the design and development of our model training infrastructure for advanced Data Science applications in manufacturing
Collaborate with engineers across multiple departments on model design and hardware selection for efficient compilation and execution
Build scalable and reliable pipelines to deploy models and monitor performance metrics in a production environment
Keep up-to-date and conduct research to identify new ML training approaches and incorporate these into our platform
Provide technical guidance to teams within Manufacturing's data engineering / software community

Job Requirements

Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Proficiency in Python and/or C++ with 5+ years of experience in Software Development
Demonstrated experience in developing and maintaining production-grade ML infrastructure
Experience working with training frameworks and understanding of modern machine learning concepts
Experience working with ML compilers
Experience with distributed computing and big data analytics
Experience leading a software product from concept to production

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs