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Tesla Software Engineering Jobs in Queens, NY (NOW HIRING)

Cognition

Software Engineer

New York, NY · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Systems engineering depth: Experience building reliable, performant distributed systems; you have ...

Cognition

AI Support Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Qualifications * 4+ years of experience in a technical role such as software engineering ...

Cognition

Software Engineer, Infrastructure

Manhattan, NY · On-site

$260 - $300/hr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step--our ... Partner across engineering: Work closely with product engineers and researchers to understand what ...

Cognition

Software Engineer, Infrastructure

New York, NY · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Partner across engineering: Work closely with product engineers and researchers to understand what ...

AchillesHR

Software Engineer

New York, NY · On-site

$160K - $210K/yr

Ben (CTO) - Lead the engineering team at Traba that built it's core infrastructure. Prior to Traba ... The rest of our founding team hails from Meta, Roblox, Tesla, USC, MIT, Cornell, and Waterloo. What ...

Achilles

Software Engineer

Manhattan, NY · On-site

$100 - $150/hr

Ben (CTO) -- Lead the engineering team at Traba that built it's core infrastructure. Prior to Traba ... The rest of our founding team hails from Meta, Roblox, Tesla, USC, MIT, Cornell, and Waterloo. What ...

Cognition

AI Support Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Qualifications * 4+ years of experience in a technical role such as software engineering ...

jobr.pro

AI Product Engineer

Manhattan, NY · On-site

$95 - $130/hr

Stay abreast of the latest developments in software engineering and AI. Participate in code reviews ... Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more * Accelerate your ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

BrainCo

AI Product Engineer

New York, NY · On-site

Stay abreast of the latest developments in software engineering and AI. Participate in code reviews ... Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more * Accelerate your ...

Cognition

Site Reliability Engineer

New York, NY · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Strong software engineering fundamentals; SRE at Cognition means writing real code, not just ...

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All JobsTesla Software Engineering JobsTesla Software Engineering Jobs in Queens, NY

Tesla Software Engineering information

See Queens, NY salary details

$66.3K

$153.9K

$214.4K

How much do tesla software engineering jobs pay per year?

As of Sep 1, 2026, the average yearly pay for tesla software engineering in Queens, NY is $153,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 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 are popular job titles related to Tesla Software Engineering jobs in Queens, NY?

For Tesla Software Engineering jobs in Queens, NY, the most frequently searched job titles are:

Tesla Software Engineering jobs near you
Infographic showing various Tesla Software Engineering job openings in Queens, NY as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $153,936 per year, or $74 per hour.

Software Engineer

Cognition

New York, NY • On-site

$260K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 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. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
Role Mission
Software Engineers at Cognition are not feature builders. You will be working on some of the hardest open problems in applied AI: how do you build an agent that can reason across thousands of lines of code, spawn and coordinate subagents, use tools reliably across ambiguous long-horizon tasks, and do all of this in a way that a real engineer would trust? You will ship systems that go directly into Devin and Windsurf, two products that millions of developers use to write, debug, and ship code. This is a role for engineers who want to be close to the frontier, who can move fast without cutting corners, and who believe the next 5 years of software engineering will look fundamentally different from the last 5.
What You'll Accomplish
  • Build core agent infrastructure: Design and ship the systems that power Devin's long-horizon task execution: tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution environments.
  • Improve Windsurf as an AI-native IDE: Contribute to editor intelligence, agent-in-the-loop workflows, real-time code understanding, and the developer experience that makes Windsurf different from every other IDE.
  • Close the loop between models and products: Work directly with researchers to translate new model capabilities into shipped features; your feedback shapes what gets prioritized in training.
  • Own reliability and performance at scale: Build systems that handle millions of agentic tasks with low latency, high reliability, and the kind of correctness that developers depend on in production.
  • Move the category forward: Cognition is defining what AI software engineering looks like. You will have real input into what gets built next and why.

Exceptional Candidates Have Demonstrated
  • Systems engineering depth: Experience building reliable, performant distributed systems; you have strong opinions about correctness, failure modes, and production behavior.
  • Product instinct: You care about how the software you build feels to use and you have shipped things that real people depend on.
  • Comfort with ambiguity: You can make progress on hard problems with incomplete specs, learn fast from results, and course-correct without needing a lot of direction.
  • Velocity without shortcuts: A track record of shipping quickly while maintaining the kind of code quality that a high-density team expects.
  • Curiosity about agents and AI: You have dug into how LLMs work, how agents fail, and what it takes to make AI-powered systems behave reliably in the real world.
  • Strong Python proficiency: Python is the primary language across Cognition's codebase; you write clean, well-structured Python and are comfortable owning large Python codebases in production.
  • Relevant industry experience: Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category.
  • Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program.

Compensation & Benefits
  • Base Salary: $260,000 - $300,000 + Significant early-stage equity
  • Medical, Dental, Vision: Fully paid for you and your dependents
  • 401(k): Company match included
  • Perks: Private chef, cozy slippers, endless snacks, and more
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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