ZipRecruiter

Log In

1

Tesla Engineer Jobs in Chicago, IL (NOW HIRING)

VIATechnik

Electrical VDC Team Lead

Chicago, IL · Remote

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

VIATechnik

Senior VDC Manager

Chicago, IL · On-site

$130K - $145K/yr

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

VIATechnik

Senior VDC Manager

Chicago, IL · Remote

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

VIATechnik

Electrical VDC Team Lead

Chicago, IL · Remote

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

VIATechnik

Senior VDC Manager

Chicago, IL · Remote

$130K - $145K/yr

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

VIATechnik

Electrical VDC Team Lead

Chicago, IL · On-site

$110K - $130K/yr

... Tesla Gigafactory and many more. Our team is made up of leading VDC professionals, technologists, architects, and engineers who have a passion for solving problems and a thirst for learning. We are ...

next page

Showing results 1-20

All JobsTesla Engineer JobsTesla Engineer Jobs in Chicago, IL

Tesla Engineer information

See Chicago, IL salary details

$40.2K

$104.8K

$141.6K

How much do tesla engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tesla engineer in Chicago, IL is $104,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $120,000.00 per year, depending on experience, location, and employer.

What does a Tesla engineer do?

A Tesla Engineer is responsible for designing, developing, testing, and improving Tesla's electric vehicles, energy products, and related technologies. Their work may involve areas such as mechanical, electrical, software, or manufacturing engineering, depending on their specialization. Tesla Engineers collaborate with cross-functional teams to solve complex engineering challenges, enhance product performance, and push the boundaries of sustainable energy solutions. They play a key role in driving innovation and maintaining Tesla's reputation for cutting-edge technology.

How does a Tesla engineer typically collaborate with cross-functional teams to drive innovation?

Tesla Engineers frequently work in cross-disciplinary teams, partnering with specialists in software, manufacturing, design, and testing to develop and refine products. Collaboration often involves regular meetings, design reviews, and problem-solving sessions to ensure that technical solutions align with Tesla’s fast-paced innovation goals. Engineers are encouraged to proactively communicate across departments, leveraging diverse expertise to overcome challenges and accelerate project timelines. This collaborative culture not only fosters creativity but also provides engineers with opportunities to broaden their skill sets and contribute to multiple aspects of product development.

What are the key skills and qualifications needed to thrive as a Tesla engineer, and why are they important?

To thrive as a Tesla Engineer, you need a solid background in engineering principles, problem-solving, and a relevant engineering degree such as mechanical, electrical, or software engineering. Experience with CAD software, simulation tools, and systems like MATLAB or Python, as well as knowledge of automotive standards, is typically required. Strong collaboration, adaptability, and innovative thinking are valuable soft skills for excelling in Tesla’s fast-paced and mission-driven environment. These skills and qualities are crucial for developing cutting-edge technologies and ensuring high performance in a rapidly evolving industry.
What are popular job titles related to Tesla Engineer jobs in Chicago, IL? For Tesla Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Tesla Engineer jobs in Chicago, IL look for? The top searched job categories for Tesla Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Tesla Engineer jobs? Cities near Chicago, IL with the most Tesla Engineer job openings:
Tesla Engineer jobs near you
Infographic showing various Tesla Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $104,820 per year, or $50.4 per hour.

Senior Software Engineer (Machine Learning)

Valor Equity Partners

Chicago, IL

$126K - $166K/yr

Full-time

Re-posted 19 days ago

Job description

About Valor:

Valor Equity Partners is a different kind of private investment firm. We pioneered the idea of operational growth. We work side-by-side, shoulder-to-shoulder, to help grow the operations of great companies solving the world's biggest problems. We invest in technology and technology-enabled companies that innovate and disrupt existing industries - from biosciences to transportation to food to health and wellness. We've had the honor of serving some of the world's greatest entrepreneurs and companies, including Tesla, SpaceX, Anduril, Eight Sleep, GoPuff, and others.

Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.

Valor means that we:

  • Strive for excellence in everything we do;
  • Maintain our humility and mutual respect no matter what circumstances we encounter;
  • Insist upon the highest level of integrity in our interactions and in the logic of our investment process; and
  • Demonstrate responsibility and dedication to all of our constituents.

About the Team:

On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making process. As a small team of software engineers and data scientists with diverse backgrounds, we work collaboratively on wide-ranging problems to deliver high-impact products for the Firm.

About the Role:

As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions and work collaboratively to build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will help drive the adoption of best practices and ensure the highest level of rigor in everything we do.

About You:

  • B.S. in Computer Science or related field
  • 5+ years of experience developing production-ready software systems
    • Although not necessary, prior work experience in financial services is highly valued
  • Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
  • Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
  • Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
  • Professional experience with most, if not all, of the following:
    • Containerization (e.g., Kubernetes and Docker)
    • Data processing (e.g., Prefect, Airflow, and dbt)
    • Parallel processing (e.g., Ray, Dask, and Spark)
    • Cloud infrastructure (e.g., Google Cloud Platform)
    • Continuous integration/continuous deployment (e.g. GitHub Actions)
    • Infrastructure as code (e.g., Terraform)
    • Tools to support machine learning operations (e.g., MLFlow and DVC)
  • Humble, hard-working, and collaborative

Apply