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Remote Computer Science Teaching Jobs in Santa Clara, CA

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 ...

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 ...

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.

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Remote Computer Science Teaching information

See Santa Clara, CA salary details

$42.9K

$76.9K

$142.7K

How much do remote computer science teaching jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote computer science teaching in Santa Clara, CA is $76,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $81,600.00 per year, depending on experience, location, and employer.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

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

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

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

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

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

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

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

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

Remote Computer Science Teaching jobs near you

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

Posted 25 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.

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