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Tesla Computer Science Jobs (NOW HIRING)

Medra

Robotics Software Engineer

San Francisco, CA · On-site

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... D. in Computer Science, Mechanical Engineering, Electrical Engineering, Aeronautical Engineering or ...

Formlabs

Materials Scientist

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Formlabs

Materials Scientist

Boston, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Formlabs

Senior Materials Scientist

Boston, MA

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Formlabs

Senior Materials Scientist

Somerville, MA

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Formlabs

Materials Scientist

Boston, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Formlabs

Materials Scientist

Somerville, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

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Tesla Computer Science information

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$56.5K

$83.1K

$98K

How much do tesla computer science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tesla computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 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.
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What are the most commonly searched types of Tesla Computer Science jobs?

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What states have the most Tesla Computer Science jobs?

States with the most job openings for Tesla Computer Science jobs include:

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

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

Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Data Scientist, Finance Forecasting

ClickHouse

San Francisco, CA • On-site, Remote

$400/day

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We're on a mission to transform how companies use data. Come be a part of our journey!
ClickHouse is the fastest open-source analytical database in the world, processing billions of rows per second for thousands of organizations. As we scale our cloud business, the decisions that shape pricing, capacity planning, and go-to-market strategy need to be grounded in rigorous quantitative modeling, and that capability is being built from the ground up.
We're hiring a founding Data Scientist to build ClickHouse's Finance forecasting and measurement capability from the ground up. You'll own and build the forecasting models, causal measurement programs, and analytical frameworks that directly shape how leadership plans the business. You'll define the approach, build the infrastructure, and set the standard for how data science operates here.
Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into one of our Bay Area offices, Menlo Park and San Francisco, 1-2x per week.
What You'll Be Doing:
  • Own and build production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration
  • Build forecasting systems that account for the dynamics of usage-based pricing, consumption patterns, and customer lifecycle across our cloud platform
  • Design and implement causal measurement frameworks to quantify the revenue impact of product launches, pricing changes, and GTM motions
  • Establish backtesting discipline and accuracy tracking as standing Finance metrics, making forecast quality visible and continuously improving
  • Contribute to shared analytics infrastructure and internal tooling that accelerates data science workflows across the organization
  • Translate model outputs into clear, actionable recommendations for Finance, Sales, and executive leadership
  • Partner with Data Engineering, Revenue Operations, and Product to build the feature pipelines and data foundations your models depend on
What You Bring Along:
  • Has an advanced degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Physics, Economics) or equivalent depth through production experience
  • Hands-on experience building and deploying ML and statistical systems, with meaningful time spent on forecasting or causal inference in production
  • Has deep applied statistics foundations, including comfort with time-series methods, state-space models, hierarchical approaches, or causal inference techniques
  • Is highly proficient in Python and SQL, with experience productionizing models in cloud-scale data environments
  • Has worked with modern analytical platforms such as ClickHouse, Snowflake, BigQuery, or Spark
  • Has experience forecasting consumption-based or usage-billed businesses (cloud, API, marketplace)
  • Has a bias toward action in ambiguous, early-stage environments and is comfortable defining the problem, not just solving it
  • Communicates clearly with executive stakeholders and can translate complex modeling work into actionable business recommendations
  • Is fluent with AI tools and workflows, including LLMs and AI coding assistants, and applies them effectively in analytical work
  • Is comfortable taking ownership of open-ended problems and building new functions from scratch

The typical starting salary for this role in the US is
$215,000-$240,000 USD
The typical starting salary for this role in US Premium Markets is
$239,000-$267,000 USD
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if you're a remote employee.
  • Global Gatherings - We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.

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