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Posted : Wednesday, March 27, 2024 11:40 AM
Tesla participates in the E-Verify Program
What to Expect
Consider before submitting an application:
This position is expected to start around August 2024 and continue through the entire Fall term (i.
e.
through December 2024) or into Spring 2025 if available.
We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.
You must be able to work 40 hours per week on-site.
Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent.
Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team.
We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
Multiple Locations Possible: Fremont, CA; Palo Alto, CA; Austin, TX; Reno, NV; Toronto, ON What You’ll Do Qualified applicants may be reviewed by one or more of the following teams: Machine Vision Inspection Systems 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.
Machine Vision Cell Manufacturing The vision systems (cameras, profilometers, displacement sensors, detection sensors, etc.
) that we deploy will focus on inspecting the quality of manufactured cells.
Our team’s goal is to move the world towards sustainability by creating the manufacturing systems necessary for Tesla to produce batteries.
The ideal candidate has demonstrated an interest in computer and industrial systems, especially cameras.
Cell Manufacturing Engineering The machine vision engineering intern collaborates with members of design, production, quality, and manufacturing engineering teams to improve our most-difficult manufacturing processes and equipment through machine vision applications, data analysis, experimentation, and modeling to drive tangible optimizations to the production environment.
Cell Assembly Manufacturing team The primary project this individual will be responsible for will be to design, implement, and streamline the vision inspection development process.
This will include four primary responsibilities.
First is designing flexible and universal mechanical fixtures to aid with the early vision system testing.
Second, sourcing flexible lighting and lensing solutions that can cover over 90% of use cases in cell manufacturing to.
Third, cut down time lost to hardware lead time.
Writing simple programs/scripts for image acquisition and basic image processing to automate the hardware evaluation process.
And fourth, ocumenting the standard procedures for hardware testing for the prototyping process.
Industrial Machine Vision Software Development The intern will work on developing new features for this highly optimized Tesla built software used on the cell manufacturing production lines.
This software must efficiently grab, analyze, and save images of cells in milliseconds, 24/7.
On top of fixing bugs and adding new features, the intern will be tasked with optimizing certain vision inspections.
What You’ll Bring Currently pursuing a degree in an Engineering program such as Physics, Mechanical Engineering, Mechatronics, Electrical Engineering, Computer Science, Statistics or a related field Proficient with the following tools or equivalent: coding (C#/.
NET, C++, Python, R), databases and acquisition (SQL or equivalents), statistical analysis (JMP, Minitab, or equivalent), Github, Jira Experience in some of the machine learning areas: machine vision, deep learning, CNNs Knowledge in selection of cameras, lenses, optics, lighting, and other hardware for image capture and processing Familiar with CAD software (Autodesk, Solidworks, etc.
) Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: 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 an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick time after 90 days of employment 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 Commuter benefits Employee discounts and perks program Expected Compensation $20.
00 - $60.
00 + 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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.
e.
through December 2024) or into Spring 2025 if available.
We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.
You must be able to work 40 hours per week on-site.
Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent.
Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team.
We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
Multiple Locations Possible: Fremont, CA; Palo Alto, CA; Austin, TX; Reno, NV; Toronto, ON What You’ll Do Qualified applicants may be reviewed by one or more of the following teams: Machine Vision Inspection Systems 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.
Machine Vision Cell Manufacturing The vision systems (cameras, profilometers, displacement sensors, detection sensors, etc.
) that we deploy will focus on inspecting the quality of manufactured cells.
Our team’s goal is to move the world towards sustainability by creating the manufacturing systems necessary for Tesla to produce batteries.
The ideal candidate has demonstrated an interest in computer and industrial systems, especially cameras.
Cell Manufacturing Engineering The machine vision engineering intern collaborates with members of design, production, quality, and manufacturing engineering teams to improve our most-difficult manufacturing processes and equipment through machine vision applications, data analysis, experimentation, and modeling to drive tangible optimizations to the production environment.
Cell Assembly Manufacturing team The primary project this individual will be responsible for will be to design, implement, and streamline the vision inspection development process.
This will include four primary responsibilities.
First is designing flexible and universal mechanical fixtures to aid with the early vision system testing.
Second, sourcing flexible lighting and lensing solutions that can cover over 90% of use cases in cell manufacturing to.
Third, cut down time lost to hardware lead time.
Writing simple programs/scripts for image acquisition and basic image processing to automate the hardware evaluation process.
And fourth, ocumenting the standard procedures for hardware testing for the prototyping process.
Industrial Machine Vision Software Development The intern will work on developing new features for this highly optimized Tesla built software used on the cell manufacturing production lines.
This software must efficiently grab, analyze, and save images of cells in milliseconds, 24/7.
On top of fixing bugs and adding new features, the intern will be tasked with optimizing certain vision inspections.
What You’ll Bring Currently pursuing a degree in an Engineering program such as Physics, Mechanical Engineering, Mechatronics, Electrical Engineering, Computer Science, Statistics or a related field Proficient with the following tools or equivalent: coding (C#/.
NET, C++, Python, R), databases and acquisition (SQL or equivalents), statistical analysis (JMP, Minitab, or equivalent), Github, Jira Experience in some of the machine learning areas: machine vision, deep learning, CNNs Knowledge in selection of cameras, lenses, optics, lighting, and other hardware for image capture and processing Familiar with CAD software (Autodesk, Solidworks, etc.
) Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: 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 an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick time after 90 days of employment 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 Commuter benefits Employee discounts and perks program Expected Compensation $20.
00 - $60.
00 + 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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities.
Please let your recruiter know if you need an accommodation at any point during the interview process.
• Phone : NA
• Location : Palo Alto, CA
• Post ID: 9110814161
