What are the responsibilities and job description for the Sr. Vision Systems Engineer, Cell Engineering position at Tesla Motors?
Job Details
Tesla is seeking an experienced Machine Vision System Engineer to apply their experience in machine vision inspection systems to cutting-edge manufacturing equipment and high-speed manufacturing processes. This is an exciting opportunity to contribute to Tesla's cutting-edge battery cell manufacturing line and to apply innovative automation solutions to equipment for manufacturing of Tesla batteries.
This role will invent, develop, scale up, and optimize machine vision inspection systems and methods 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, taking 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.
Responsibilities
Requirements
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
This role will invent, develop, scale up, and optimize machine vision inspection systems and methods 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, taking 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.
Responsibilities
- Work as key link between cross functional teams to develop requirements and provide solutions for inline vision inspection systems
- Drive ramp of exciting new products by characterizing baseline vision performance and capability and improve performance as measured by product quality and tool availability
- Ensure manufacturing lines meet uptime, availability, and reliability metrics - OEE, cycle time and quality, and have the sense of urgency on resolution of production issues
- Develop best practices to improve vision system reliability
- Vision software and algorithm development and data analysis using programming languages such as C , C#, Python or HALCON vision library
- Commissioning and calibrating vision systems and MES system integration
- Organize cross-functional design reviews and highlight body of work
- Collaboration with downstream and upstream process teams and quality team on vision system validation, data correlation, and analysis
- Build request for quotation and manage vendor proposals
- Provide direction and mentorship to third party vendors and Tesla Internal machine building teams
Requirements
- Degree in Physics, Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience
- 5 years of experience with machine vision systems
- Strong understanding of engineering fundamentals and ability to apply them towards manufacturing process development
- Knowledge in selection of cameras, lenses, optics, lighting, and other hardware for image capture and processing
- Knowledge of camera calibration (e.g., pinhole camera model, lens distortion, MTF of imaging system, gain and exposure setting, etc.)
- Strong analytical, mathematical, and statistical background and ability to understand and explain theory behind vision algorithms
- Experience of image processing (e.g., image enhancement, thresholding, morphology, feature extraction, etc.) is highly desired
- Experience with machine learning applications and image classification by deep learning is highly desired
- Experience in high volume manufacturing is highly desired
- Ability to travel
Compensation and Benefits
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary 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
- Expected Compensation
$88,000 - $174,000/annual salary cash and stock awards benefits
Pay 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $88,000 - $174,000