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Tesla Computer Science Jobs in New York (NOW HIRING)

Cognition

AI Support Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field ...

Cognition

IT Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Bachelor's degree in Computer Science, Information Technology, or equivalent experience

Cognition

Account Director, Enterprise (East)

New York, NY · On-site

$150K - $160K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... studied computer science, but moved into go-to market roles to be closer to the customer * are ...

jobr.pro

AI Product Engineer

Manhattan, NY · On-site

Hold a Bachelor's/Master's degree in Computer Science, Software Engineering, or a related field ... Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more * Accelerate your ...

Cognition

Applied AI Transformation Manager

New York, NY · On-site

$124K - $127K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Computer science or EE undergrad * SWE intern or full time work experience * 3-5 years at a big 3 ...

Windsurf Inc.

Applied AI Transformation Manager

Manhattan, NY · On-site

$125K - $128K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first ... Computer science or EE undergrad * SWE intern or full time work experience * 3-5 years at a big 3 ...

Cognition

Product Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics ...

Cognition

Software Engineer, Infrastructure

Manhattan, NY · On-site

$260K - $300K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step--our ... Degree from a top‑tier university: BS, MS, or equivalent in Computer Science, Mathematics ...

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 ... Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics ...

Cognition

AI Support Engineer

New York, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field ...

Cognition

Product Engineer

Manhattan, NY · On-site

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step--our ... Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics ...

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 ... Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics ...

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Tesla Computer Science information

See New York salary details

$61.8K

$90.9K

$107.2K

How much do tesla computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for tesla computer science in New York is $90,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $102,300.00 per year, depending on experience, location, and employer.

What is a Tesla computer science job?

A Tesla Computer Science job involves working on cutting-edge software and technology to support Tesla’s mission of accelerating the world’s transition to sustainable energy. Roles can include software engineering, artificial intelligence, data science, embedded systems, and cybersecurity. Employees develop and optimize software for Tesla’s vehicles, energy products, and internal systems. Strong programming skills, problem-solving abilities, and a passion for innovation are essential.

What typical projects or responsibilities might a computer science professional have at Tesla?

At Tesla, Computer Science professionals frequently work on projects involving the development and optimization of software for autonomous vehicles, factory automation, or energy management systems. Daily tasks may include designing scalable code, debugging complex systems, collaborating with cross-functional teams, and integrating new technologies into Tesla's products. Many roles require close teamwork with hardware engineers, data scientists, and product managers to achieve ambitious goals. This environment fosters ongoing learning and offers broad exposure to advanced technologies, giving employees the opportunity to rapidly develop their technical and leadership skills.

What are the key skills and qualifications needed to thrive in the Tesla computer science position, and why are they important?

To thrive in a Tesla Computer Science position, you need a solid background in software development, algorithms, and data structures, usually demonstrated through a degree in computer science or a related field. Familiarity with programming languages such as Python, C++, and Java, as well as experience with automation, embedded systems, and machine learning frameworks, is highly valuable. Problem-solving skills, strong collaboration, and adaptability set candidates apart in Tesla's fast-paced, innovative environment. These qualifications enable professionals to drive technological advancements and deliver reliable solutions for cutting-edge automotive and energy products.

Does Tesla hire computer science engineers?

Tesla hires computer science engineers for roles in software development, autonomous driving, and AI systems. Candidates typically need strong programming skills in languages like Python or C++, experience with machine learning, and knowledge of embedded systems or robotics. The company values innovation and technical expertise in its engineering teams.

What degree is best for a Tesla computer science career?

A bachelor's degree in computer science, software engineering, or a related field is typically required for a Tesla computer science career. Advanced roles may prefer or require a master's degree or higher, along with skills in programming, machine learning, or embedded systems relevant to Tesla's technology environment.

What are the most commonly searched types of Tesla Computer Science jobs in New York?

The most popular types of Tesla Computer Science jobs in New York are:

What are popular job titles related to Tesla Computer Science jobs in New York?

For Tesla Computer Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Tesla Computer Science jobs in New York look for?

The top searched job categories for Tesla Computer Science jobs in New York are:

Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in New York as of August 2026, with employment types broken down into 61% Full Time, 15% Part Time, and 24% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $90,924 per year, or $43.7 per hour.

AI Support Engineer

New York, NY • On-site

Cognition
1 - 10 employees
Learn more about Cognitionexternal

Full-time

Re-posted 26 days ago

Key responsibilities

  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.

  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.

  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.

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.
We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and 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 and Windsurf 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.
About the Role
Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments.
This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously.
We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should be comfortable context-switching across problem domains, communicating clearly with customers, and partnering closely with engineering when deeper product investigation is required.
This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day.
Responsibilities
  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.
  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
  • Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
  • Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
  • Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
  • Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.
Qualifications
  • 4+ years of experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
  • Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
  • Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
  • Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
  • Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
  • Passion for AI, developer tools, and the future of software engineering.
Nice to Have
  • Experience building internal tools, scripts, or automations to accelerate debugging, support, or QA workflows.
  • Familiarity with LLMs, AI-assisted development tools, IDEs, or developer productivity platforms.
  • Experience in high-volume technical support or customer engineering environments.
  • Experience debugging issues that span multiple layers of the stack, such as application logic, infrastructure, authentication, third-party APIs, networking, or deployment configuration.
  • Prior experience working directly with engineering teams to escalate, diagnose, and resolve product issues.
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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