Vision Systems Engineer, Automation Engineering
- Pay
- $91,600 – $195,600 per year
- Location
- Fremont, CA
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 29 days ago
Skills & highlights for this role
- computer vision
- industrial automation
Vision Systems Engineer, Automation Engineering | Tesla
Location: Fremont, California | Req ID: 274792 | Job Type: Full-time
What to Expect
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.
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.
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.
What You'll Do
- 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
What You'll Bring
- 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
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation$91,600 - $195,600/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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What is the salary for the Vision Systems Engineer, Automation Engineering role at Tesla?
The Vision Systems Engineer, Automation Engineering posting at Tesla states compensation of $91,600 – $195,600 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.
Where is the Vision Systems Engineer, Automation Engineering job at Tesla located?
This Vision Systems Engineer, Automation Engineering position at Tesla is located in Fremont, CA. Always check Tesla's application page for specific state eligibility or relocation policies.
What qualifications are required for Vision Systems Engineer, Automation Engineering at Tesla?
For the Vision Systems Engineer, Automation Engineering role, Tesla highlights experience with computer vision, industrial automation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Vision Systems Engineer, Automation Engineering position at Tesla?
This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.