1

Amazon Computer Science Internship Jobs in Irvine, CA

... 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 ...

... VTX and Amazon Connect • Track and manage all IT-related billing and renewals, such as: • ... Required : • Bachelor's degree in Business Information Management, Computer Science, or a related ...

Digital Analyst Internships

Pomona, CA · On-site

$100K - $118K/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 ...

Showing results 41-60

Amazon Computer Science Internship information

See Irvine, CA salary details

$14

$27

$41

How much do amazon computer science internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for amazon computer science internship in Irvine, CA is $27.28, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $30.96 per hour, depending on experience, location, and employer.

What is an Amazon computer science internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon computer science interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an Amazon computer science intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What are popular job titles related to Amazon Computer Science Internship jobs in Irvine, CA?

For Amazon Computer Science Internship jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Amazon Computer Science Internship jobs in Irvine, CA look for?

The top searched job categories for Amazon Computer Science Internship jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Amazon Computer Science Internship jobs?

Cities near Irvine, CA with the most Amazon Computer Science Internship job openings:

Infographic showing various Amazon Computer Science Internship job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $56,747 per year, or $27.3 per hour.

Internship - Robot Control Systems (Fall 2026)

FieldAI

Irvine, CA • On-site

$47 - $53/hr

Full-time, Internship

Re-posted yesterday


Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Robotics Controls Intern to join our autonomy team and work directly alongside our senior engineers to tackle complex control challenges for large-scale, off-road vehicles. In this highly impactful internship, you will help bridge the gap between advanced control theory and field-deployable products. You will dive into system dynamics modeling, optimize GPU-accelerated control libraries, and develop computationally constrained control schemes for heterogeneous platforms, ranging from massive off-road vehicles to smaller, resource-limited robotic systems. Furthermore, you will play a critical role in designing and implementing low-latency safety layers that protect our robots in both tele-operated and fully autonomous modes. This is a hands-on role for a driven researcher or engineer who wants to see their code running on real vehicles in extreme, unstructured environments.

What You Have 
  • Currently pursuing a Ph.D. or Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a highly related field with a focus on control systems.

  • Deep theoretical understanding and practical experience with advanced control methodologies, particularly predictive and sampling-based control (e.g., MPPI, MPC).

  • Strong proficiency in GPU programming (specifically CUDA) with a track record of accelerating and optimizing complex algorithms for real-time execution.

  • Hands-on experience taking control algorithms out of simulation and deploying them onto physical robots in real-world environments.

  • Experience with system dynamics modeling, system identification, and training learning models for robotic platforms.

  • Strong software engineering skills in C++ and Python, with the ability to write clean, deployable code for robotics applications.

  • Hands-on experience with Linux, ROS1/2 and  Docker


The Extras That Set You Apart
  • Experience working with large-scale, off-road, or high-speed autonomous wheeled vehicles in unstructured environments.

  • Experience designing and implementing low-latency safety layers or safety controllers for autonomous or tele-operated systems.

  • Demonstrated ability to reduce compute costs and adapt computationally heavy control schemes for hardware-constrained systems.

  • Experience maintaining or significantly contributing to open-source robotics control libraries.

  • Familiarity working within established, fast-paced autonomy engineering teams and seamlessly integrating with existing software stacks.

  • Knowledge of containerization (Kubernetes) and modern DevOps practices.

$47 - $53 an hour

Compensation

The salary range for this role is $47.00-$53.00/hr. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 

 
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
apply for this job