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Internship Tesla Computer Science Jobs in Pittsburgh, PA

All Lines Technology

PC Technician

Pittsburgh, PA · On-site

$17.75 - $23.50/hr

Bachelor's or Associate's degree in IT, Computer Science, or a related field or relevant CompTIA ... * IT internship experience or 3+ months in a Help Desk or IT Technician role * Strong ...

All Lines Technology

PC Technician

Pittsburgh, PA · On-site

$17.75 - $23.50/hr

Bachelor's or Associate's degree in IT, Computer Science, or a related field or relevant CompTIA ... * IT internship experience or 3+ months in a Help Desk or IT Technician role * Strong ...

Danaher

Software Engineer Internships

Pittsburgh, PA

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Digital Analyst Internships

Pittsburgh, PA · On-site

$95.60K - $113.10K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Berriehill Research

Technical Intern 3 (3629)

Warrendale, PA

$16.25 - $21.25/hr

This internship is based at our Warrendale, PA office. What You Will Do You will support active ... Current student pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships ...

Synopsys

Software Development Intern

Canonsburg, PA · On-site +1

$17.75 - $23.25/hr

Currently pursuing a Bachelor of Science in Computer Engineering, Mechanical Engineering, Computer ... internship. * Experience in object-oriented programming concepts and languages such as Java, C ...

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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 Pittsburgh, PA? For Internship Tesla Computer Science jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Internship Tesla Computer Science jobs in Pittsburgh, PA look for? The top searched job categories for Internship Tesla Computer Science jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Internship Tesla Computer Science jobs? Cities near Pittsburgh, PA with the most Internship Tesla Computer Science job openings:
Internship Tesla Computer Science jobs near you

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA • On-site

$50 - $53/hr

Internship

Posted 4 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
    • >
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
    • >
  • Strong foundation in machine learning fundamentals and experimental methodology.
    • >
  • Develop multi-modal data collection platform for day/night robot navigation data collection
    • >
  • Collect high-quality datasets for reproducible and comparable research and evaluation
    • >
  • Summarize and publish learnings in high-quality robot research conference or journal
    • >
  • Ability to work independently while collaborating effectively in a research environment.
    • >
  • Strong interest in embodied intelligence and real-world robotics systems.
    • >
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
    • >
  • Familiarity with ROS or ROS 2.
    • >
  • Experience with large-scale or distributed training systems.
    • >
  • Publications or open-source contributions in robotics or AI.
    • >
  • Background in perception, planning, or control for robotics.
    • >
  • Interest in bridging foundational research with deployed robotic systems.
    • >

$50 - $53 an hour
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
    • >
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
    • >
  • Strong foundation in machine learning fundamentals and experimental methodology.
    • >
  • Develop multi-modal data collection platform for day/night robot navigation data collection
    • >
  • Collect high-quality datasets for reproducible and comparable research and evaluation
    • >
  • Summarize and publish learnings in high-quality robot research conference or journal
    • >
  • Ability to work independently while collaborating effectively in a research environment.
    • >
  • Strong interest in embodied intelligence and real-world robotics systems.
    • >
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
    • >
  • Familiarity with ROS or ROS 2.
    • >
  • Experience with large-scale or distributed training systems.
    • >
  • Publications or open-source contributions in robotics or AI.
    • >
  • Background in perception, planning, or control for robotics.
    • >
  • Interest in bridging foundational research with deployed robotic systems.
    • >

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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