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Tesla Python Jobs in California (NOW HIRING)

Specter

Software Engineer - Fleet

San Francisco, CA · On-site

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Python for fleet services, and TypeScript for the control plane. We are looking for an engineer ...

Specter

Software Engineer - Backend

San Francisco, CA · On-site

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Deep proficiency in Python, Go, or Node.js with a solid foundation in systems-level thinking.

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Proficiency in Python and comfort building lightweight tools, scripts, and dashboards * Strong ...

Specter

Software Engineer - ML Infrastructure

San Francisco, CA · On-site

$203K - $241K/yr

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... Strong software engineering fundamentals in Python, with working proficiency in a systems language ...

Medra

AI Product Engineer

San Francisco, CA · On-site

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... Strong Python and/or Typescript skills * Strong product instincts: ability to scope, iterate, and ...

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox ... Strong coding ability in at least one language such as Python, Go, Java, or Javascript * Experience ...

The Bot Company

3D Vision

San Francisco, CA · On-site

Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the ... Very strong coding skills in Python and/or C++. * Experience with PyTorch and CUDA, including ...

The Bot Company

3D Vision

San Francisco, CA · On-site

$200K - $350K/yr

Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the ... Very strong coding skills in Python and/or C++. * Experience with PyTorch and CUDA, including ...

Peak Energy

Staff Reliability Engineer

San Francisco, CA · On-site

$120K - $152K/yr

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... Build and contribute to custom Python reliability analysis and modeling tools to automate workflows ...

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All JobsTesla Python JobsTesla Python Jobs in California

Tesla Python information

See California salary details

$13

$57

$85

How much do tesla python jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for tesla python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 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 Tesla Python developer collaborate with cross-functional teams?

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 are the key skills and qualifications needed to thrive as a Tesla Python developer?

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.

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 popular job titles related to Tesla Python jobs in California?

For Tesla Python jobs in California, the most frequently searched job titles are:

What job categories do people searching Tesla Python jobs in California look for?

The top searched job categories for Tesla Python jobs in California are:

Tesla Python jobs near you
Infographic showing various Tesla Python job openings in California as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Software Engineer - Fleet

Specter

San Francisco, CA • On-site

Full-time

Posted 8 days ago

Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The Role
We are looking for a Software Engineer to lead the architecture and operation of our fleet management, deployment, and recovery systems. Every device we field operates over a long-range wireless link and must remain fully resilient without physical intervention-making fleet reliability a core distributed systems problem.
We are seeking a strong candidate with hands-on experience building software for physical devices and a clear engineering perspective. The core workflow centers on three main pillars: self-testing devices that continuously report status, reliable software deployment pipelines with verified delivery, and a unified control plane providing real-time operational visibility. In this position, you will be responsible for architecting and implementing these core systems end-to-end.
To support these capabilities, our tech stack spans Rust for systems, C on embedded hardware, NixOS for system images, Python for fleet services, and TypeScript for the control plane. We are looking for an engineer eager to work across all of these layers to ensure our control plane seamlessly reflects and manages device state in the field.
Responsibilities
Fleet Control Plane
  • Architect and build the unified control plane providing real-time operational visibility across every device fielded over long-range wireless links.
  • Own the underlying data model to reconcile claimed vs. actual device states and ensure seamless state representation across the entire tech stack (TypeScript, Python, NixOS, Rust, C).
  • Design targeted execution pathways that enable real-time operational management at the device, site, or customer fleet level.
  • Maintain control plane trustworthiness and convergence during partial failures or when significant portions of the fleet are offline or unreachable.

Updates & Rollouts
  • Architect reliable deployment pipelines that handle over-the-air image and firmware updates with verified delivery over constrained wireless links.
  • Implement staged rollout strategies and automatic rollback mechanisms to ensure fleet resilience against flawed updates.
  • Establish rigorous post-deploy validation checks on edge hardware before confirming software releases across production fleets.
  • Extend the release pipeline that feeds all of it - how releases get cut, versioned, and promoted from dev to production, with regression gates that block on real signal.
  • Extend the release pipeline from dev to production with automated regression gates and end-to-end hardware testing harnesses.

Self-Test & Self-Healing
  • Develop self-testing edge software that continuously measures device health at boot and runtime directly on the hardware.
  • Build self-healing fault escalation logic to autonomously resolve device failures in the field without physical intervention.
  • Engineer resilient recovery mechanisms-such as service restarts, secondary link failover, and fallback images-that guarantee zero site visits.
  • Transform raw device events into actionable telemetry, suppressing noise while automatically handling routine operational issues.

Qualifications
  • Proven experience writing production code in systems languages (Rust, C/C++, Go, or Python) with a deep focus on fleet reliability, performance, and hardware-level failure modes.
  • Hands-on background architecting software for physical devices (embedded, IoT, edge).
  • Demonstrated success designing unified fleet control planes and data models to reconcile target versus actual device state across high-scale distributed deployments.
  • Strong distributed systems instincts: building for partial failures, managing state convergence over lossy networks, and developing self-healing fault-escalation logic for zero site visits.
  • Track record of shipping over-the-air (OTA) update pipelines, staged rollouts, and automatic rollbacks with post-deploy edge verification over constrained wireless links.
  • Solid networking fundamentals (DNS, firewalls, VPNs, subnets, secure remote access) and experience operating across the full stack from embedded C/Rust to TypeScript control dashboards.
  • Nice to have: Experience with sub-OS environments, boot processes, flash storage, and driver integration.
  • Nice to have: Experience with declarative build tools and system image management (NixOS, Yocto, Buildroot) for deterministic edge releases.
  • Nice to have: Advanced CI/CD pipeline automation (GitHub Actions, Buildkite) integrated with automated regression gates and physical hardware testing harnesses.
  • Pragmatic, bias-toward-action engineering mindset focused on delivering reliable operational control planes today while iterating safely.

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