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Computer Science Internship Jobs in Milpitas, CA

Danaher

Software Automation Internships

San Jose, CA

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Danaher

Software Automation Internships

San Jose, CA · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Microsoft

Senior Verification Engineer

Mountain View, CA · On-site

$123K - $169K/yr

OR Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience or internship experience * OR Master's degree in ...

Danaher

Software Engineer Internships

San Jose, CA · On-site

... 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

Software Engineer Internships

San Jose, 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 ...

Rundoo

Software Engineer

Redwood City, CA · On-site

$186K/yr

Studied computer science and math at Stanford; worked a couple internships at Meta + some startups in Denver; jaywalking ticket recipient * Santi: Studied CE and played varsity soccer at Waterloo ...

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Computer Science Internship information

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Internships usually involve learning industry tools and following project deadlines under supervision.

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

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

Which computer science internship is best for a computer science student?

The best computer science internship for a student depends on their interests and career goals, but generally, internships at reputable tech companies or startups that offer hands-on experience with programming, software development, or data analysis are valuable. Look for opportunities that provide mentorship, skill development, and exposure to real-world projects, often requiring proficiency in languages like Python, Java, or C++ and familiarity with tools such as Git or cloud platforms.

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

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What internships should I apply for in computer science?

Computer science internships are available in software development, data analysis, cybersecurity, and machine learning. Applicants should focus on roles that match their skills, gain experience with programming languages like Python or Java, and consider certifications or projects that demonstrate their abilities. Internships at tech companies, startups, or research labs provide valuable industry experience and networking opportunities.

What types of projects does a computer science intern typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What are internship opportunities in computer science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in Milpitas, CA? The most popular types of Computer Science jobs in Milpitas, CA are:
What are popular job titles related to Computer Science Internship jobs in Milpitas, CA? For Computer Science Internship jobs in Milpitas, CA, the most frequently searched job titles are:
What cities near Milpitas, CA are hiring for Computer Science Internship jobs? Cities near Milpitas, CA with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Milpitas, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Intern - Microelectronics Architecture/Hardware Energy Efficiency

SLAC National Accelerator Laboratory

Menlo Park, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Microelectronics Architecture/Hardware Energy Efficiency Internship
Position Overview:
The summer internship will consist of estimating energy used in computing of hardware systems based on published data and also those in research. The intern should have a background in physics, or electrical or computer engineering and computer science. As part of a new initiative from the Department of Energy (DOE) on Energy Efficient Computing, SLAC is offering summer internships for graduate students at SLAC National Laboratory (& Stanford University).
The internship will focus on estimating energy used in computing of hardware systems based on published data and also those of research systems in laboratories for which data are available. During the internship, the student will work using the basics of computing architecture, memory, interconnects, and hardware to estimate energy requited per operation for different architectures with different implementations of instruction sets and different architectures and processing units like GPU, TPUs etc. This is will be compared with top-down estimates1 for providing more precise bounds on energy required. The systems of relevance will include general purpose von Neumann architectures (CPUs and GPUS) and special purpose architectures (neuromorphic systems), ASICs and FPGAs. The analysis will provide basis to a larger DOE effort currently developing roadmap for energy efficiency in computing. The application of this analysis can cross ML systems such as those used in Natural Language Processing and also hardware used for scientific computing such as Top500 covering applications including machine learning and measurements in areas of science and engineering including Chemistry, Chemical Engineering, Material Science, Fluid Mechanics, Aerospace Engineering, Computer Science, etc.
The objective of this internship is to give students an opportunity to gain valuable hands-on experience by working on real-world problems related to bridging their expertise in hardware with new perspectives in thinking about computing. This experience will not only enhance their skills and knowledge in the field. It will also give them a boost when applying for jobs or graduate programs in the future. The mentor serves as a co-advisor, and interns may have the opportunity to continue their research during the academic year to fulfill a thesis or other academic requirements.
Specific responsibilities (include but are not limited to):
  • Identify the different architectures and hardware including those used in machine learning, scientific computing etc.
  • Identify the instruction
  • Outline the nature and quantity of data required for each of the hardware, in discussion with the mentor.
  • Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor.
  • Develop models for estimating energy efficiencies for the problems in working with the mentor.
  • Carry out Verification, Validation and critical analysis of their estimates
  • Refine and develop models to integrate scientific knowledge in the model formulation and training phases.
  • Prepare reports and scientific publications outlining the advances under the aegis of the mentor.

Opportunities and Benefits
  • Growth and mentorship from exceptionally talented engineers and scientists from SLAC and Stanford University.
  • A mission-driven, stable, collaborative, highly interdisciplinary, and supportive work environment.
  • Opportunity to experience a multidisciplinary research environment, integrating knowledge from many subject areas spanning computer engineering, physical sciences, applied mathematics, and software applications.

Note: This is an hourly, non-benefits eligible temporary-nonexempt, internship position (work at 50% full-time equivalent or more), not to exceed 980 hours in six consecutive months.
Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization. The on-site internship program is for a period of eight weeks and takes place between May and Mid-August, with the start date being contingent on the convenience of the candidate.
To be successful in this position, candidates should:
  • Pursuing a Master's or Doctoral degree in a science, engineering or equivalent discipline.
  • Strong communication skills.
  • Ability to work in a collaborative environment.
  • Passionate about innovative solutions for Science & Engineering problems.
  • Some prior experience at Python programming would be beneficial.

SLAC Employee Competencies:
  • Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner.
  • Self-Development: Pursues a variety of venues and opportunities to continue learning and developing.
  • Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
  • Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
  • Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
  • Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
  • Relationships: Builds relationships to foster trust, collaboration, and a positive climate to achieve common goals.

Physical requirements and working conditions:
  • Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.

Work Standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu
  • As a national laboratory, SLAC National Accelerator Laboratory is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require employees to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

  • Classification Title: SLAC Intern Students [Level II - III]
  • Job Code: 0901
  • Employment Duration : 12 weeks

The expected pay range for this position is $31.02 - $39.26 per hour.
SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At SLAC/Stanford, base pay represents only one aspect of the comprehensive rewards package.

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