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Computer Science Intern Remote Jobs in Santa Clara, CA

Sr Staff PSIRT Engineer

Santa Clara, CA ยท Remote

$60 - $70/hr

Education: * BS or MS Degree in Computer Science, Engineering, or Cybersecurity. * 4+ years of experience in product security, application security, or vulnerability research. This is a remote ...

ASIC/SOC CAD Engineer

Mountain View, CA ยท On-site +1

$175K - $362K/yr

Bachelor of Science in Electrical Engineering or equivalent * Minimum 8 years of industry ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: โ€ข Bachelor's degree in computer science or a related field required.

Andriod Developer

Sunnyvale, CA ยท Remote

$57 - $75/hr

Sunnyvale, CA (Remote) - Look for nearby location candidates those candidates will be given first ... Bachelor's Degree in Computer Science or related field and 5+ years of experience building scalable ...

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: โ€ข Bachelor's degree in computer science or a related field required.

Customer Engineer (Remote)

Palo Alto, CA ยท Remote

$140K - $180K/yr

Qualifications : * BS in Computer Science, Human Machine Interface Design, Human-Computer Interaction, or equivalent. * 3-5 years experience with application development using Python, HTML, CSS ...

Data Scientist III

Mountain View, CA ยท On-site +1

$85/hr

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for ... Bachelor's degree in Business Analytics, Marketing Analytics, Statistics, Computer Science ...

New

Senior Data Scientist

Mountain View, CA ยท On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Showing results 41-60

Computer Science Intern Remote information

What skills and qualifications are needed to thrive as a computer science intern?

To thrive as a Computer Science Intern (Remote), you generally need a solid foundation in programming languages (such as Python, Java, or C++), data structures, and algorithms, supported by progress toward a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and experience with integrated development environments (IDEs) are typically expected. Strong problem-solving abilities, self-motivation, and clear written communication are standout soft skills for remote work. These skills and qualities are crucial for contributing effectively to projects, collaborating with distributed teams, and adapting to the dynamic requirements of remote internships.

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

AspectComputer Science Intern RemoteSoftware Developer Intern Remote
Required CredentialsTypically pursuing a computer science degree or related fieldSimilar; often pursuing a computer science or software engineering degree
Work EnvironmentRemote, often part-time or summer internshipRemote, often part-time or summer internship
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Comparison Search IntentUnderstanding internship roles in computer scienceLooking for software development internship opportunities

Both roles are remote internships aimed at students in computer science or related fields. The main difference lies in the job titles; 'Computer Science Intern Remote' is broader, focusing on foundational computer science skills, while 'Software Developer Intern Remote' emphasizes software development tasks. Candidates should review specific job descriptions to understand the focus areas and responsibilities.

What does a computer science intern do?

A Computer Science Intern working remotely assists with software development, debugging, testing, and other technical tasks under the guidance of experienced engineers. Responsibilities may include writing code, collaborating on projects using tools like Git, and participating in virtual meetings to discuss project goals. Remote interns often communicate through email, chat, and video calls, allowing them to contribute to real-world projects from any location. The role helps students and recent graduates gain practical industry experience and build their professional network.

How do computer science interns working remotely typically collaborate with their team and receive mentorship?

Remote computer science interns often use collaboration tools such as Slack, Microsoft Teams, or Zoom to communicate with their teammates and supervisors. Regular check-ins, virtual stand-up meetings, and code reviews are common practices to ensure alignment and support. Mentorship is usually provided through scheduled one-on-one video calls and shared project management platforms, which help interns receive feedback and guidance. Clear documentation and open channels for questions also play a key role in helping interns learn and succeed while working remotely.
What are the most commonly searched types of Computer Science Remote jobs in Santa Clara, CA? The most popular types of Computer Science Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Computer Science Intern Remote jobs? Cities near Santa Clara, CA with the most Computer Science Intern Remote job openings:

Technology Lead, Agentic AI and R&D Technology Lead, Agentic AI and R&D (Bay Area or Remote)

Merck Group

San Jose, CA โ€ข On-site, Remote

$119K - $178K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

Work Location: San Jose, California
Shift: No
Department: EL-CT-S Materials AI
Recruiter: Anthony Melino
This information is for internals only. Please do not share outside of the organization.
Location: San Jose, California | Remote Flexibility Available
Your Role
You will be the technical cornerstone of a high-impact, multi-agent platform that powers AI-amplified research and development. In this pivotal role, you will own the architecture and evolution of a production-grade agentic system that enables autonomous experiment design and automated reporting at scale. Your work will directly shape how science and technology interact, driving meaningful progress for patients and customers worldwide.
You will define and uphold engineering standards through hands-on code review, pairing, and concrete examples, ensuring quality and maintainability endure beyond individual contributors. You will build and maintain shared agentic infrastructure that allows multiple programs to contribute specialized agents within a single governed platform, connecting it to external tooling, partners, and the broader ecosystem for seamless integration and scalable growth.
You will own platform design decisions spanning data sources, access controls, agent composition patterns, scalability, and technical debt management. Within a SAFe delivery cadence, you will lead the technical roadmap, guiding both internal engineers and external contractors to maintain architectural consistency. You will ship production code, own CI/CD pipelines and observability, and drive robust testing and security practices for sensitive research data.
You will translate complex research and development requirements into reliable technical solutions and communicate them clearly to both technical and non-technical stakeholders. You will mentor developers, lead by example, and help the team navigate the evolving AI landscape with disciplined, evidence-based decision making. As the permanent internal anchor for architecture and standards, you will ensure the platform remains reliable, secure, and extensible as the program scales.
Who You Are
Minimum Qualifications:
  • Master's degree in computer science, data science, chemistry, materials science, or a related field with 3+ years of experience Or Ph.D in computer science, data science, chemistry, materials science, or a related field with 2+ years of experience.
  • Demonstrated experience in technical leadership, including making architectural decisions under uncertainty and guiding cross-functional engineering teams.
  • Solid understanding of distributed systems, APIs, and cloud infrastructure on AWS and/or Azure.
  • Security-first mindset with hands-on knowledge of authentication, authorization, input validation, and AI-specific risks such as prompt injection and data leakage.
  • Experience establishing engineering standards, automated testing strategies, and maintainable code practices that scale across teams and contributors.

Preferred Qualifications:
  • Proven track record of building and operating complex, production-grade software systems end to end, including ownership of CI/CD, observability, and on-call operations.
  • Experience designing or operating multi-agent or agentic AI platforms in a production environment.
  • Familiarity with large language model (LLM) orchestration frameworks and patterns for agent composition and governance.
  • Experience working within SAFe or similar scaled agile delivery frameworks.
  • Strong communication skills with the ability to bridge software engineering and non-technical research or product stakeholders.
  • Familiarity with research and development workflows, scientific data environments, or regulated data contexts where security and data governance are critical.

Base Pay Range for this position: $119,300-$178,900
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.