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Internship Tesla Computer Science Jobs in Oregon

$16 - $21.50/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

$16 - $21.50/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Minimum Qualifications * Bachelor's degree in Computer Science, Data Science, Electrical ...

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Internship Tesla Computer Science information

What is the difference between Internship Tesla Computer Science vs Software Engineering Intern?

AspectInternship Tesla Computer ScienceSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related degree, coding skillsEnrolled in Software Engineering, Computer Science, or related degree, coding skills
Work EnvironmentResearch labs, development teams, collaborative projects at TeslaDevelopment teams, coding, testing, and debugging software at Tesla
Employer & Industry UsageTesla's tech and automotive industryTesla's software development teams within automotive and tech sectors
Search & Comparison IntentYes, often compared for tech internships at TeslaYes, similar search for software-focused internships at Tesla

Internship Tesla Computer Science focuses on foundational computer science principles and research, while Software Engineering Internships emphasize practical software development, coding, and debugging. Both roles are valuable for gaining experience at Tesla, but they differ in focus and daily tasks.

What are popular job titles related to Internship Tesla Computer Science jobs in Oregon?

For Internship Tesla Computer Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Tesla Computer Science jobs in Oregon look for?

The top searched job categories for Internship Tesla Computer Science jobs in Oregon are:

What cities in Oregon are hiring for Internship Tesla Computer Science jobs?

Cities in Oregon with the most Internship Tesla Computer Science job openings:

Computer Science/Engineering Intern - Computer Vision Applications

Analytical Mechanics Associates

OR • On-site, Remote

$23.10 - $33.50/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Job Description:

AMA is currently accepting applications for a Computer Science/Engineering intern to support work in our Hampton, VA location. The qualified candidate will work to apply the latest advancements in computer vision, including convolutional neural network (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing due to plume surface interaction (PSI) effects.

This internship begins September 8, 2026, and concludes December 18, 2026.

Pay for this position is $23.10 - $33.50, depending on education and location. Remote work is available.

Responsibilities:

  • The intern will apply computer vision, including convolutional neural network (CNNs) and vision transformers (ViTs), to improve degraded imagery/video feeds during lunar landing due to plume surface interaction effects
  • Iterate designs based on feedback from the engineering team (GN&C, mechanical, flight test, etc.).
  • Produce engineering drawings and configuration-controlled CAD packages suitable for internal design reviews.
  • Develop reports, presentations, and other documentation, providing clear comments and guidance
  • Attend meetings, teleconferences, and workshops as needed

Requirements:

  • Progress toward a degree (undergraduate or graduate) in technical areas of relevance (Physics, computer science, or Engineering)
  • Working knowledge and application of CNNs/ViTs to image dehazing using PyTorch.
  • Working knowledge of PSI scattering physics
  • Programming experience in C/C++, Python, Julia
  • Presentation skills, including creating and sharing PowerPoint presentations clearly exhibiting the design requirements, layout, and plan forward.
  • Excellent written and verbal communication skills are required, able to articulate design choices to a team of engineers and project management personnel and create clear assembly instructions.
  • Available to work at NASA Langley Research Facility in Hampton, Virginia or remotely.
  • Due to ITAR/EAR restrictions, US citizenship or permanent US residency is required.

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.