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Tesla Software Engineering Jobs in Washington (NOW HIRING)

Devops Engineer, Federal

Washington, DC · On-site

$59.75 - $81.75/hr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step--our ... Have built or contributed to software at companies known for engineering rigor and want the broader ...

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first ... Have built software at companies known for engineering rigor and want broader impact * Track record ...

We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense ... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step--our ...

Showing results 21-26

Tesla Software Engineering information

See Washington salary details

$71.9K

$167.1K

$232.7K

How much do tesla software engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for tesla software engineering in Washington is $167,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is a Tesla software engineering job?

A Tesla Software Engineering job involves designing, developing, and optimizing software for Tesla's products, including vehicles, energy solutions, and internal systems. Engineers work on cutting-edge technology like autonomous driving, battery management, and AI-driven applications. The role requires proficiency in programming languages such as Python, C++, or Java, and experience with software development frameworks. Collaboration with cross-functional teams is essential to enhance performance, safety, and user experience. Tesla engineers are expected to innovate, solve complex problems, and work in a fast-paced environment to support the company's mission of accelerating sustainable energy.

What are the key skills and qualifications needed to thrive in the Tesla software engineering position?

To thrive as a Tesla Software Engineer, you need a solid foundation in computer science, programming (often in C++, Python, or Java), and a background in software development methodologies—usually evidenced by a bachelor’s or master’s degree in a relevant field. Proficiency with development tools like Git, CI/CD pipelines, and experience working with embedded systems, automotive software, or cloud infrastructure is also valuable. Strong problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills. These capabilities ensure engineers can contribute to high-impact projects in a fast-paced environment, drive innovation, and deliver reliable software for Tesla’s advanced products.

What is the typical team structure for a Tesla software engineering role, and how do engineers collaborate across projects?

Tesla Software Engineers often work in cross-functional teams that include product managers, hardware engineers, and other software specialists. Collaboration is highly valued, with regular meetings and code reviews to ensure integration across different technology domains—such as autonomous driving, manufacturing systems, or in-car infotainment. Engineers are encouraged to take ownership of features from conception to deployment, and may collaborate with teams in other locations to solve complex, real-world problems. This dynamic environment fosters innovation and provides opportunities for learning from experts in both software and hardware engineering. As a result, engineers gain exposure to diverse challenges and are able to significantly impact Tesla’s cutting-edge products.

What job categories do people searching Tesla Software Engineering jobs in Washington look for?

The top searched job categories for Tesla Software Engineering jobs in Washington are:

What cities in Washington are hiring for Tesla Software Engineering jobs?

Cities in Washington with the most Tesla Software Engineering job openings:

Infographic showing various Tesla Software Engineering job openings in Washington as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $167,085 per year, or $80.3 per hour.

Devops Engineer, Federal

Washington, DC • On-site

Cognition
1 - 10 employees

$59.75 - $81.75/hr

Other

Re-posted 2 days ago


Job description

We are an applied AI lab building end-to-end software agents.

We're the makers of Devin, the first AI software engineer.

Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead.

About the Role

This is an unparalleled opportunity to join our team as a foundational engineer in our newly formed federal group. As one of the very first engineers in this critical space, you will not only be instrumental in shaping the technical direction and initial project successes but will also play a key role in the strategic growth and scaling of the entire federal engineering organization, establishing core engineering practices, defining our technical stack for federal clients, and directly influencing the culture of a fast-growing, mission-driven team. Your early contributions and leadership will be essential in defining the trajectory of our federal sector, making this an unparalleled opportunity for high-impact ownership and professional development.

Federal DevOps Engineers are full-stack deployment experts who own and maintain the technical lifecycle of our most important federal enterprise deployments.

You’ll own a narrow set of strategic deployments, working directly with customer engineering teams to scope out complex deployments, ensure compliance with security controls, and implement any needed platform modifications.

A core part of this role is shaping the product from a deployability and operability standpoint. You will make changes directly to the core codebase to ensure our products can be deployed in a variety of environments easily and reliably. You'll identify deployment patterns from the field and translate those learnings into requirements that inform what core engineering builds next. When customers hit friction that the product doesn’t solve, you’re the person who figures out what should exist—and makes it happen.

You’ll own the technical direction of our deployments, making decisions that shape long-term adoption, architecture, and how the Cognition platform evolves in real-world environments.

Core Responsibilities

  • Architect, own, and maintain the end-to-end technical lifecycle of complex, mission-critical federal enterprise deployments and their environments.

  • Work directly with customer engineering and GTM teams to define deployment scope, ensuring compliance with security controls and federal regulations.

  • Provide technical depth on strategic deployments; serving as the trusted expert on deployment, security, and platform architecture.

  • Contribute directly to the core product codebase to improve deployability, operability, and reliability across a variety of environments.

  • Translate field learnings and customer pain points into actionable product direction: scope requirements, define solutions, and drive implementation.

  • Build product extensions, integrations, and automation using Cognition’s APIs and platform primitives to unblock deployments.

  • Serve as the key technical and connective link between the Federal team and core infrastructure engineering teams.

  • Handle escalated technical issues and provide architectural judgment requiring deep debugging and systems analysis.

What We Value

  • Technical depth and the judgment that comes from seeing many deployments

  • Product instinct — you synthesize feedback into solutions, not just feature requests

  • Builder mentality — you’d rather ship something than wait for someone else to build it

  • Credibility with engineering teams, both internal and customer-side

  • An automation-first mindset—you look to engineer repeatable solutions to operational challenges.

  • A collaborative approach to problem-solving, bridging the gap between internal and external teams.

  • Comfort operating across many contexts simultaneously

Requirements

  • Strong engineering foundation with a proven ability to build, debug, and maintain complex, distributed systems.

  • 2+ years of experience as a software engineer.

  • Experience working within the government or working in a government focused company.

  • Direct experience in, implementing compliance and security controls required for federal or highly regulated environments.

  • Proficiency in Python, TypeScript, or similar; comfort navigating unfamiliar codebases

  • Have a track record of pursuing excellence at high levels, in any domain

  • Have operated cross-functionally—whether at a startup wearing multiple hats or by driving product/commercial thinking at a larger company

You might excel if….

  • Have built or contributed to software at companies known for engineering rigor and want the broader impact of a foundational role.

  • Enjoy hard, ambiguous problems without obvious solutions and thrive on the autonomy to figure them out.

  • Have a high tolerance for ambiguity, intensity, and sustained effort when the mission-critical nature of the work demands it.

Equal Opportunity

Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

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