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Part Time Full Stack Software Engineer Jobs in San Jose, CA

RocketRide Inc.

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

San Francisco (Hybrid) | Part-time or Full-time, 3 months, with potential to convert About ... Design, build, test, and deploy AI software components including vision models, LLM integrations ...

Apple

Display Metrology Engineer

Cupertino, CA · On-site

... stacked lenses) during the New Product Introduction (NPI) phase, collaborating closely with ... software teams. Minimum Qualifications Bachelor's degree in Optics, Physics, Opto-mechanics ...

Apple

Display Metrology Engineer

Cupertino, CA · On-site

$184K - $324K/yr

... stacked lenses) during the New Product Introduction (NPI) phase, collaborating closely with ... Experience in high-volume electronics manufacturing (optical preferred), including Six Sigma, P/T ...

Shield AI

Staff DevSecOps Engineer (R5824)

San Mateo, CA

$180K - $280K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

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All JobsFull Stack Software Engineer JobsPart Time Full Stack Software Engineer JobsPart Time Full Stack Software Engineer Jobs in San Jose, CA

Part Time Full Stack Software Engineer information

See San Jose, CA salary details

$52.2K

$157.9K

$223.3K

How much do part time full stack software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for part time full stack software engineer in San Jose, CA is $157,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $185,200.00 per year, depending on experience, location, and employer.

What is a part time full stack software engineer?

A Part Time Full Stack Software Engineer is a professional who works fewer hours than a standard full-time schedule, typically 20-30 hours per week, and is skilled in both front-end and back-end web development. This role involves building and maintaining both the client-side (what users see) and server-side (the logic and database) of web applications. Part time positions offer flexibility, making them ideal for students, parents, or those seeking work-life balance, while still contributing to the full software development lifecycle.

What are the key skills and qualifications needed to thrive as a part time full stack software engineer?

A Part Time Full Stack Software Engineer needs strong proficiency in both front-end and back-end programming languages, such as JavaScript, HTML/CSS, and a server-side language, along with a solid grasp of software development principles. Familiarity with frameworks like React or Angular, backend systems like Node.js or Django, and version control tools like Git is typically required. Excellent time management, problem-solving abilities, and effective communication are vital soft skills for balancing part-time responsibilities and collaborating with team members. These skills ensure efficient delivery of robust, scalable solutions while maintaining productivity and integration within a development team.

How does a part time full stack software engineer typically integrate with full time team members and ongoing projects?

Part-time Full Stack Software Engineers often work closely with full-time colleagues through regular stand-ups, code reviews, and collaborative tools like Slack or Jira. Clear communication and well-defined tasks are essential to ensure project continuity, especially when schedules don't fully overlap. You may be assigned specific features or bug fixes that fit your availability, and documentation becomes crucial for seamless handoffs. This structure allows you to contribute meaningfully while balancing other commitments, though proactive communication is key to staying aligned with project goals.

Can I learn full-time part-time full stack software engineer in 3 months?

Becoming a full stack software engineer typically requires several months to years of dedicated learning, depending on prior experience and the complexity of skills such as programming languages, frameworks, and tools. While intensive bootcamps or self-study programs can help acquire foundational skills in about 3 months, gaining proficiency for a full-time role usually takes longer and involves practical experience and continuous learning.

What are the most commonly searched types of Full Stack Software Engineer jobs in San Jose, CA?

The most popular types of Full Stack Software Engineer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Part Time Full Stack Software Engineer jobs?

Cities near San Jose, CA with the most Part Time Full Stack Software Engineer job openings:

Part Time Full Stack Software Engineer jobs near you
Infographic showing various Part Time Full Stack Software Engineer job openings in San Jose, CA as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $157,950 per year, or $75.9 per hour.

AI Developer Intern

RocketRide Inc.

San Francisco, CA • On-site

$22.75 - $29.75/hr

Full-time, Part-time, Internship

Re-posted 6 days ago

Job description

San Francisco (Hybrid) | Part-time or Full-time, 3 months, with potential to convert
About RocketRide.ai
RocketRide is an SF-based AI startup pushing the boundaries of open source agentic workflows - helping developers build smarter systems that work for them. Our meta-harness connects automation, AI, and open collaboration into something fast, flexible, and deeply useful.
About This Role
We're searching for an AI Developer Intern for the fall term (mid-Sep through mid-Dec), who is technical, curious, and ready to get their hands dirty building real AI features. You'll collaborate closely with our engineering team to design, build, and ship AI-powered capabilities, from agentic workflows and LLM integrations to data pipelines and developer tooling. This is a meaningful role with real impact: the code you write will commit to open source and deploy to production, shaping how developers use RocketRide.
What You'll Do
  • Design, build, test, and deploy AI software components including vision models, LLM integrations, agentic workflows, multimodal data pipelines, and similarity search.

  • Leverage agentic AI code-generation tools to move fast without sacrificing code quality or reliability.

  • Gain hands-on experience with open-source and proprietary AI tools, including agent frameworks like OpenClaw and CrewAI, graph databases like neo4j, agent skills, MCP and Cursor.

  • Contribute to our open-source projects and help grow our developer community through Discord, online developer forums, and technical content. Assist with local AI tech events and community meetups.

  • Collaborate with engineering, DevRel, and founders to ensure our systems support how real developers adopt and scale agentic AI in production.

What You'll Bring
  • Currently pursuing a bachelor's or master's degree in Computer Science or a related field, with a strong interest in Generative AI and/or Machine Learning.

  • Hands-on software experience - you write solid code, build demos, and can engage credibly with developers at a technical level.

  • Fluency with modern AI tools and a love of experimenting with them to solve real-world problems.

  • Demonstrable understanding of LLMs, generative AI applications, and agentic AI concepts.

  • Public contributions you're proud of - a GitHub project, personal site, plugin, or technical content.

  • Familiarity with Python; exposure to C++ is a plus.

  • Ability to work from our San Francisco office regularly (at least 3 days/week).

Why You'll Love This
  • Impact: At our size and pace, the code you write moves the needle. You'll ship to production, not just a sandbox.

  • Experience: Hands-on work with cutting-edge agentic AI tools, frameworks, and infrastructure - the real stack, not toy projects.

  • Growth: We challenge ourselves every day to be better and go faster. You'll learn through collaboration, tech talks, and direct mentorship from experienced engineers and founders.

  • Community: Build your network within SF's AI developer scene and connect with our growing open source community.

  • Culture: Hybrid office/remote flexibility, fun outings, great downtown SF location, and a tight-knit team that takes the work seriously but has fun doing it.

  • Path forward: Strong interns have the opportunity to convert to a full-time role.

Apply