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Computer Engineer Internship Jobs in San Ramon, CA

Atomic Machines

Systems Engineer

Emeryville, CA · On-site

What You'll Need: * 3+ years of experience (industry, internships, robotics competitions, IEEE ... Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Mechatronics ...

Instead

Software Engineering Intern

San Francisco, CA · On-site

The Role We're looking for Software Engineering Interns to join our San Francisco team and build ... Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a ...

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All JobsComputer Engineer JobsComputer Engineer Internship JobsComputer Engineer Internship Jobs in San Ramon, CA

Computer Engineer Internship information

See San Ramon, CA salary details

$15

$28

$43

How much do computer engineer internship jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for computer engineer internship in San Ramon, CA is $28.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $32.26 per hour, depending on experience, location, and employer.

What is the difference between Computer Engineer Internship vs Software Developer Internship?

AspectComputer Engineer InternshipSoftware Developer Internship
Required CredentialsTypically pursuing or recent graduate in Computer Engineering, Electrical Engineering, or related fieldsUsually pursuing or recent graduate in Computer Science, Software Engineering, or related fields
Work EnvironmentHardware and software integration, embedded systems, circuit design, and firmware developmentApplication development, coding, debugging, and software testing
Industry UsageElectronics, telecommunications, hardware manufacturing, embedded systemsTech companies, app development firms, startups, software consultancies
Common Search/ComparisonYesYes

Computer Engineer Internships focus on hardware, embedded systems, and firmware, while Software Developer Internships emphasize coding and software applications. Both roles often require related technical skills but serve different industry needs and environments.

What is a Computer Engineer Internship?

A Computer Engineer Internship is a temporary position for students or recent graduates to gain practical experience in computer engineering. Interns typically work under the supervision of experienced engineers, assisting with tasks such as software development, hardware design, testing, and troubleshooting. The internship provides hands-on learning opportunities and exposure to real-world projects, helping interns develop technical skills and industry knowledge. It also allows interns to network with professionals and can often lead to full-time employment after graduation.

What types of projects and responsibilities can a Computer Engineer Intern expect during their internship?

As a Computer Engineer Intern, you can expect to work on real-world projects that may involve software development, hardware testing, or assisting with system integration tasks. Interns often collaborate closely with experienced engineers, participate in team meetings, and contribute to debugging or documentation efforts. The work environment is typically fast-paced and supportive, offering plenty of opportunities to learn new technologies and engineering best practices. Interns are also encouraged to ask questions and seek mentorship, which helps in building both technical and professional skills.

What are the key skills and qualifications needed to thrive as a Computer Engineer Intern, and why are they important?

To thrive as a Computer Engineer Intern, you generally need a solid understanding of computer architecture, programming languages such as C/C++ or Python, and coursework toward a degree in computer engineering or a related field. Familiarity with development environments, version control systems like Git, and basic hardware or software debugging tools is often required. Strong analytical thinking, effective communication, and a willingness to learn quickly are standout soft skills for this role. These competencies enable interns to contribute meaningfully to projects, collaborate with team members, and rapidly acquire new technical knowledge essential for professional growth.
What are the most commonly searched types of Computer Engineer jobs in San Ramon, CA? The most popular types of Computer Engineer jobs in San Ramon, CA are:
What are popular job titles related to Computer Engineer Internship jobs in San Ramon, CA? For Computer Engineer Internship jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Computer Engineer Internship jobs? Cities near San Ramon, CA with the most Computer Engineer Internship job openings:
Computer Engineer Internship jobs near you

Inference Optimization Intern - Performance Modeling

Institute of Foundation Models

Sunnyvale, CA • On-site

Internship

Posted 25 days ago

Job description

About the Institute of Foundation Models
The Institute of Foundation Models is dedicated to advancing the science and engineering of large-scale AI systems. Our researchers and engineers develop cutting-edge foundation models while pushing the limits of high-performance computing and efficient AI inference. By combining deep expertise in machine learning, systems engineering, and hardware optimization, we build scalable AI solutions that drive scientific discovery and real-world impact.
As part of the team, interns work alongside world-class researchers and performance engineers to optimize the execution of large-scale foundation models on next-generation NVIDIA GPU architectures. This internship provides hands-on experience in low-level GPU performance analysis, kernel optimization, and hardware-aware inference acceleration.
Key Responsibilities
This intensive internship offers a unique opportunity to contribute to the development of a simulator and profiling framework for foundation model inference on NVidia GPUs.
Responsibilities include:
  • Develop analytical performance models for GPU kernels and inference workloads.
  • Build and validate a simulator to estimate theoretical hardware performance limits.
  • Compare measured kernel performance against architectural peak throughput.
  • Identify performance bottlenecks in compute, memory, communication, and scheduling.
  • Analyze GPU execution using NVIDIA Nsight Systems and Nsight Compute.
  • Investigate PTX and SASS code generation to understand low-level execution behavior.
  • Collaborate with researchers and engineers to optimize inference kernels for transformer-based models.
  • Evaluate utilization of Tensor Cores, memory bandwidth, caches, and instruction pipelines.
  • Design profiling methodologies for Hopper and Blackwell architectures.
  • Document findings and provide actionable recommendations for performance improvements.

Academic Qualifications
Currently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, High-Performance Computing, or a related quantitative discipline.
Preferred Qualifications
  • Experience with CUDA programming and GPU kernel development.
  • Understanding of NVIDIA GPU architecture and memory hierarchy.
  • Familiarity with performance profiling tools such as Nsight Systems and Nsight Compute.
  • Knowledge of PTX, SASS, and low-level GPU execution.
  • Experience optimizing CUDA kernels for throughput and latency.
  • Understanding of roofline analysis, performance modeling, and hardware utilization metrics.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Strong programming skills in C++, CUDA, and Python.

Desired Skills
  • Performance engineering mindset.
  • Strong analytical and debugging abilities.
  • Interest in AI systems, inference optimization, and hardware-software co-design.
  • Ability to work independently on research and engineering challenges.
  • Excellent written and verbal communication skills.

Apply