ZipRecruiter

Log In

2

Remote Masters Computer Science Jobs in Santa Clara, CA

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Vimo

Product Manager

Mountain View, CA · Remote

Team player with an ability to work cross-functionally and with remote teams and to influence ... Bachelor's degree Computer Science, or Engineering * MBA or MS in a related field is a plus

VIMO INC.

Product Manager

Mountain View, CA · Remote

Team player with an ability to work cross-functionally and with remote teams and to influence ... Bachelor's degree Computer Science, or Engineering * MBA or MS in a related field is a plus

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Bachelors in Computer Science, Engineering, or a related field. * 3+ years of professional software ...

Eitacies Inc

Sr Staff PSIRT Engineer

Santa Clara, CA · 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 ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · On-site +1

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

EPSoft Technologies

Andriod Developer

Sunnyvale, CA · 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 ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · Remote

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

previous page

Showing results 41-60

All JobsMasters Computer Science JobsRemote Masters Computer Science JobsRemote Masters Computer Science Jobs in Santa Clara, CA

Remote Masters Computer Science information

What is a remote masters in computer science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.

What are the key skills and qualifications needed to thrive as a remote masters in computer science graduate?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote masters in computer science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What are the most commonly searched types of Masters Computer Science jobs in Santa Clara, CA?

The most popular types of Masters Computer Science jobs in Santa Clara, CA are:

What are popular job titles related to Remote Masters Computer Science jobs in Santa Clara, CA?

For Remote Masters Computer Science jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Masters Computer Science jobs in Santa Clara, CA look for?

The top searched job categories for Remote Masters Computer Science jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Masters Computer Science jobs?

Cities near Santa Clara, CA with the most Remote Masters Computer Science job openings:

Remote Masters Computer Science jobs near you
Infographic showing various Remote Masters Computer Science job openings in Santa Clara, CA as of August 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% Remote job distribution.

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

Merck Group

San Jose, CA • On-site, Remote

$119K - $178K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 hours 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.

Apply