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Tesla Python Jobs (NOW HIRING)

Desteia

Senior Product Engineer

... Tesla, Walmart, and Blend. * Diego, our co-CEO, successfully led his previous start-up, Carrot from ... Design and build new core product features (Node/Typescript + Python (data) stack) * Review code ...

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

... Tesla Model S, X, and Y production lines. Reflex robots are high-performance, low-inertia, and ... use C++, with some Python for prototyping. We don't use ROS. You'd be joining a company that ...

Desteia

Technical Lead

... Tesla, Walmart, and Blend. * Diego, our co-CEO, successfully led his previous start-up, Carrot from ... Design and build new core product features (Node/Typescript + Python (data) * stack) * Review code ...

Kaav Inc

Full stack sw engineer role

Palo Alto, CA · On-site

... tesla, honda, mercedes etc Contract - 3 year Experience Need 10 years Automotive Full-stack SW ... Strong skills in C#, C++, Javascript, Python, and development tools in Linux. Experience developing ...

FlexAI

Senior Full Stack Engineer

San Jose, CA · On-site

$180K - $225K/yr

Founded by Brijesh Tripathi, who bring experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI ... Design and implement APIs and backend services using Python (FastAPI) and/or Node.js * Define clean ...

The Bot Company

Data Infrastructure

San Francisco, CA · On-site

$200K - $350K/yr

Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the ... Strong coding ability, with exceptional familiarity with Python, Go, and/or C++. * Strong ...

The Bot Company

ML Compiler

San Francisco, CA · On-site

$200K - $350K/yr

Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the ... Requirements * Strong coding ability, with exceptional experience with C++ and/or Python.

Cognition

AI Support Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Strong ability to read and reason about code in multiple languages, such as Python, TypeScript ...

Cognition

Software Engineer

San Francisco, CA · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Strong Python proficiency: Python is the primary language across Cognition's codebase; you write ...

Ever

Software Engineer

San Francisco, CA · On-site +1

$140K - $300K/yr

... Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P. Morgan, BCG, and more. After our ... Experience with Go and/or TypeScript, Python, and related frameworks (React, Next.js, Vite, etc ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Expert on SQL and Python (required) * Experience with data modeling, warehouse architecture, and BI ...

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How much do tesla python jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for tesla python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What does a Tesla Python developer do?

A Tesla Python developer is responsible for designing, developing, and maintaining software applications using the Python programming language within Tesla's technological ecosystem. Their work can involve automating processes, analyzing data, developing tools for vehicle and energy products, or building backend services that support Tesla's operations. These developers collaborate with engineers and other team members to solve complex challenges and improve efficiency. They play a key role in ensuring Tesla's software systems are robust, scalable, and innovative.

How does a Python developer at Tesla typically collaborate with cross-functional teams to deliver impactful projects?

As a Python developer at Tesla, you’ll frequently work alongside engineers, data scientists, and product managers to design and implement software solutions that support manufacturing, energy, or vehicle systems. Collaboration often involves participating in agile sprints, code reviews, and regular stand-up meetings to ensure alignment and rapid progress. You’ll be expected to communicate complex technical concepts clearly and adapt your code to integrate with diverse systems. This collaborative environment fosters innovation and gives you exposure to a wide range of Tesla’s cutting-edge technologies.

What is the difference between Tesla Python vs Tesla Data Analyst?

AspectTesla Python DeveloperTesla Data Analyst
Required SkillsPython, programming, software developmentData analysis, SQL, Excel, visualization
Work EnvironmentSoftware development teams, engineering projectsData teams, business units, reporting
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Industry UsageDeveloping software solutions for Tesla productsInterpreting data to inform business decisions

Tesla Python Developers focus on coding and software development using Python, often working on engineering and product software. Tesla Data Analysts analyze data sets to support decision-making, utilizing tools like SQL and Excel. While both roles require analytical skills, Python Developers are more involved in programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Python Developer at Tesla, and why are they important?

To thrive as a Python Developer at Tesla, you need strong programming skills in Python, experience with software development principles, and typically a degree in computer science or a related field. Familiarity with tools such as Git, REST APIs, Docker, and cloud platforms, as well as knowledge of Tesla's tech stack, is often required. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills for excelling in cross-functional teams. These skills ensure the delivery of reliable, scalable software solutions that drive Tesla’s innovative products and operations.
More about Tesla Python jobs
What states have the most Tesla Python jobs? States with the most job openings for Tesla Python jobs include:
What job categories do people searching Tesla Python jobs look for? The top searched job categories for Tesla Python jobs are:
Tesla Python jobs near you
Infographic showing various Tesla Python job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Software Engineer, New Grad

Eventual Computing

San Francisco, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

About Eventual
Every breakthrough Physical AI system - humanoid robots, autonomous vehicles, video generation models - is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI. As a result, robotics and video-AI teams iterate on model improvement about once a week. Most of that week isn't training - it's finding the right data: writing CV heuristics over raw footage, paying annotators for edge cases, hand-curating clips before a cluster ever spins up. GPU bandwidth has grown 2-3× per generation. Storage and pipelines haven't. The gap widens every year.
Eventual was founded in 2022 to close it. Our open-source engine, Daft, is the distributed data engine purpose-built for multimodal AI - already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens. We are building a video-native index on top of our engine for Physical AI that collapses the data iteration loop. Describe the dataset you want, get a curated table in minutes, feed it to your GPUs at line rate. One iteration per day becomes the norm.
We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today. We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and angels from the co-founders of Databricks and Perplexity. We've assembled a world-class team from AWS, Render, Pinecone and Tesla. We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
Your Role
If you're a new grad and the thought of spending the next two years bolting another LLM into another wrapper makes you tired, read on.
We build real systems. We move petabytes of video through GPU clusters. We profile flamegraphs. We argue about io_uring and Parquet footers. We write Rust and Python. We talk to robotics researchers at the world's top labs about what's actually broken in their training loop, and then we go fix it. The work is hard, the feedback loops are tight, and the impact lands in customer training runs the same week you ship.
As a new grad on our team, you'll work shoulder-to-shoulder with senior engineers on the layers that matter - Daft's distributed query engine, our video-native dataloader, the storage and indexing layer, the visual understanding pipeline, or the product surface researchers actually use. You'll be given real ownership early. You'll get mentorship from engineers who've spent careers on systems at AWS, Tesla, Pinecone, and Render. You'll ship code that runs on the most expensive GPU clusters on the planet.
We're looking for the kind of new grad who built something obsessive in undergrad - a database, a game engine, a kernel hack, a custom decoder, a research project that wouldn't quit - not because it was assigned, but because they couldn't stop thinking about it.
Key Responsibilities
  • Contribute to features across Eventual's stack: the open-source Daft query engine, the dataloading layer, the storage and indexing layer, or the visual understanding pipeline.
  • Profile, benchmark, and optimize real systems on real workloads - petabytes of customer video on real GPU clusters.
  • Write clean, maintainable Python and Rust. Read papers, prototype, ship to production.
  • Pair with senior engineers who'll teach you systems work the right way - and trust you with real ownership early.
  • Sit in on customer calls with researchers at top Physical AI labs. The shortest path from "researcher mentions a pain" to "engineer ships a fix" is the path we want you on.

What we look for
  • Within ~1 year of graduating, or recently graduated.
  • Strong programming fundamentals in Python, Rust, C++, or Go. Bonus points if you've reached for the lower-level languages because the problem demanded it.
  • A real love for systems, distributed systems, databases, or data infrastructure - the kind of love that shows up in side projects, course projects you took further than required, or open-source contributions.
  • Hungry. Curious. Willing to read papers, dig into a profiler, and stick with a hard problem until it gives.
  • Excited to work in person, in a small team, in an SF office, 4 days a week.

Nice to have
  • Built something obsessive in undergrad: a database, a query engine, a compiler, a custom decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project.
  • Open-source contributions, especially to systems projects.
  • Internship experience at a systems-heavy team - databases, ML infrastructure, GPU/HPC, storage, networking.
  • Familiarity with cloud technologies (AWS, GCP, Azure).
  • Background in computer architecture, OS, compilers, or distributed systems.

Perks & Benefits
  • In-person, tight-knit team - 4 days/week in our SF Mission office.
  • Competitive comp and meaningful startup equity.
  • Catered lunches and dinners for SF employees.
  • Commuter benefit.
  • Team-building events and poker nights.
  • Health, vision, and dental coverage.
  • Flexible PTO.
  • Latest Apple equipment.
  • 401(k) plan with match.

If you're tired of vibe-coding wrappers and ready to get cracked on systems that move petabytes of video through the most expensive GPU clusters on the planet, we'd love to talk.

Apply