Tesla

Makes electric cars, robotaxis and grid batteries

Fullstack Software Engineer - Machine Learning Platform, SI Infrastructure

Platform EngineeringConfirmed live in the last 24 hours

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

About the Job

Requirements

Strong knowledge of Python, React, and Linux.
Experience working with backend infrastructure components, including relational databases, in-memory caches, and message brokers.
Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries.
Experience deploying services on Kubernetes and setting up continuous integration and continuous deployment (CI/CD) flows.
A solid understanding of security principles and best practices.
UI and graphic design sensibilities.
Experience working with high-performance computing (HPC) clusters.
Knowledge of machine learning, computer vision, or neural networks.

Responsibilities

Architect and implement scalable, user-friendly tools for SI workflows to track and visualize the lifecycle of machine learning experiments and models.
Build robust tools and infrastructure to improve the machine learning team's velocity, including training and evaluation code in Python and back-end and front-end work in JavaScript.
Collaborate closely with machine learning engineers to ensure tools are aligned with research needs.
Design dashboards that provide real-time insights into performance and progress for machine learning engineers and leadership.
Coordinate required hardware resources with the team managing cluster hardware to maintain high availability.

Category	Tesla SI
Location	Palo Alto, California
Requisition ID	255370
Type	Full-time

Job Description

As a Software Engineer within the Autopilot SI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting SI research activities for Autopilot and the Optimus. At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters. Robustly training these models at scale and in the shortest amount of time is critical to our mission. We are building out the Machine Learning Platform that our engineers and leadership use to schedule, manage and monitor machine learning experiments, data pipelines and artifacts.

Job Responsibilities

Architect and implement scalable, user-friendly tools for SI workflows to track and visualize the lifecycle of machine learning experiments and models
Build robust tools and infrastructure to improve the machine learning team's velocity. This includes training and evaluation code in Python to back-end and front-end work in JavaScript
Collaborate closely with ML engineers to ensure tools are aligned with research needs
Design dashboards to provide real-time insights into performance and progress for our ML engineers and leadership
Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability

Job Requirements

Strong knowledge of Python, React, and Linux
Experience working with backend infrastructure components (relational databases, in-memory caches, message brokers)
Experience building modern web applications using Flask/Django and React/Redux or similar component-based libraries
Experience deploying services on Kubernetes and setting up CI/CD flows
Solid understanding of security principles and best practices
UI and graphic design sensibilities
Experience working with HPC clusters
Knowledge of machine learning, computer vision, or neural networks

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

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