Tesla

Makes electric cars, robotaxis and grid batteries

Vision Systems Engineer - Automation Engineering

Desktop Application DevelopmentConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Engineering, or equivalent practical experience is required.
Proficiency in C#, Python, or another object-oriented programming language, such as C++ with cross-language interop, and a solid grasp of design principles and clean coding practices are required.
Experience with vision libraries such as HALCON, OpenCV, PyTorch, or TensorFlow, including image acquisition, preprocessing, feature extraction, machine learning, and algorithm optimization, is required.
Experience debugging complex systems using centralized logging tools such as Splunk, or similar tools, is required.
Experience using developer tools such as Git and issue-tracking tools such as Jira is required.
Strong organizational skills and the ability to manage multiple tasks simultaneously, work in a fast-paced environment, and meet deadlines without compromising quality are required.
The ability to contribute meaningfully in technical discussions and collaborate effectively across teams is required.
The ability to work independently, take ownership of features, and propose improvements is required.

Responsibilities

Design, develop, and maintain high-performance C#/.NET applications for vision automation systems.
Integrate and use vision libraries such as HALCON, OpenCV, PyTorch, and TensorFlow to implement image processing, object detection, pattern recognition, classification, and quality inspection algorithms.
Develop and maintain WPF-based user interfaces using the MVVM pattern, ensuring clean separation of concerns, testability, and maintainable code.
Collaborate in requirements-gathering sessions to translate business needs into technical specifications and feature designs.
Contribute to CI/CD workflows by writing clean, testable code, performing peer reviews, and ensuring deployment reliability.
Debug complex system behaviors using logs and observability tools, analyze traces to identify root causes, and improve system stability.
Write clear documentation for APIs, modules, and system behavior to support team knowledge sharing and onboarding.
Apply software development fundamentals, including software design patterns, algorithms, data structures, modularity, and code maintainability, to build robust, scalable solutions.

Desired Qualifications

Cross-platform UI design experience, such as with MAUI or Avalonia, is a plus.
CUDA experience is a strong plus.
Familiarity with React, or willingness to learn it, is preferred.

Category	Manufacturing
Location	Fremont, California
Requisition ID	274792
Type	Full-time

Job Description

Tesla is seeking an experienced Vision Systems Engineer to apply their experience to cutting-edge manufacturing equipment and high-speed manufacturing processes. This is an exciting opportunity to contribute to Tesla’s automated battery cell manufacturing line and to apply innovative software solutions to equipment for manufacturing of Tesla batteries.<br><br>This role will design, develop, scale up, and optimize image processing platforms and tools for battery manufacturing within a cross-functional engineering team. In this role, you will work closely with many organizations both internal and external to Tesla, developing the tools necessary to support bringing new battery designs from initial concept through into full production.<br><br>The battery cell is a critical component in Tesla vehicles and storage systems. This role will have the opportunity to make meaningful contributions to our products. The work environment is demanding, fast-paced and incredibly exciting. The ideal candidate should be ready to push their limits, as they join a highly motivated and capable team to make unbelievable things a reality.

Job Responsibilities

Design, develop, and maintain high-performance C#/.NET applications for vision automation systems
Integrate and leverage vision libraries (HALCON, OpenCV, PyTorch, TensorFlow) to implement image processing, object detection, pattern recognition, classification, and quality inspection algorithms
Develop and maintain WPF-based user interfaces using the MVVM pattern, ensuring clean separation of concerns, testability, and maintainable code
Collaborate in requirements gathering sessions to translate business needs into technical specifications and feature designs
Contribute to CI/CD workflows by writing clean, testable code, performing peer reviews, and ensuring deployment reliability
Debug complex system behaviors using logs and observability tools, analyzing traces to identify root causes, and improve system stability
Write clear documentation for APIs, modules, and system behavior to support team knowledge sharing and onboarding
Apply strong software development fundamentals — including software design (Software Design Patterns), algorithms, data structures, modularity, and code maintainability — to build robust, scalable solutions

Job Requirements

Degree in Computer Science, Engineering, or equivalent practical experience
Proficiency in C#, Python, or other object-oriented programming languages (i.e. C++ with cross-language interop) — with a solid grasp of design principles and clean coding practices
Proven experience working with vision libraries such as HALCON, OpenCV, PyTorch, or TensorFlow including image acquisition, preprocessing, feature extraction, machine learning, and algorithm optimization
Cross-Platform UI design experience (e.g. MAUI, Avalonia) is a plus - CUDA experience is a strong plus
Demonstrated ability to debug complex systems using centralized logging tools like Splunk, or similar — with a strong analytical mindset
Experience using developer tools like Git and issue-tracking tools like Jira — with a disciplined workflow and attention to version control hygiene
Familiarity with React (or willingness to learn) is a preferred skill
Strong organizational skills and the ability to manage multiple tasks simultaneously, thrive in fast-paced environments, and meet deadlines without compromising quality
Excellent communication skills — able to contribute meaningfully in technical discussions and collaborate effectively across teams
A proactive mindset: comfortable working independently, taking ownership of features, and proposing improvements

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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