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Engineering Internship Jobs in Novato, CA (NOW HIRING)

Elve Inc

Internship: General Application

Davis, CA · On-site

$25 - $50/hr

If you are passionate about engineering, product innovation, and driving successful project ... This internship is tailored for curious, driven students and recent graduates (BS, MS, PhD, or MBA) ...

Estes Energy

2026 Fall Engineering Intern

San Francisco, CA · On-site

$19.75 - $25.50/hr

Fall 2026 (Sept-Dec, dates flexible) · Type: Full-time or part-time internship About Estes Energy ... As an Engineering Intern, you'll own a meaningful slice of a live project, work shoulder-to ...

Retell AI

Software Engineer (New Grad)

San Francisco, CA · On-site

$83K - $104K/yr

  • Medical

  • Dental

  • Vision

Preferred * 2+ software engineering internships. * Experience building production software through internships, research, startups, or personal projects. * Experience with backend development, APIs ...

SightCall

INTERNSHIP - Web Developer

San Francisco, CA · On-site

Company Description SightCall's Video Platform as a Service (PaaS) provides developers the APIs and ... SightCall Now Supports IOT And Wearables This internship supports the Marketing team with web ...

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All JobsEngineering JobsEngineering Internship JobsEngineering Internship Jobs in Novato, CA

Engineering Internship information

See Novato, CA salary details

$12

$22

$34

How much do engineering internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for engineering internship in Novato, CA is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $24.57 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during an engineering internship, and how much responsibility will I have?

As an engineering intern, you can expect to work on a variety of projects ranging from assisting with ongoing research and development to supporting design, testing, or manufacturing processes. The level of responsibility often increases as you demonstrate competency, typically starting with supervised tasks and gradually moving toward more independent work. You'll likely collaborate with engineers, project managers, and other interns, gaining hands-on experience with industry-standard tools and practices. This exposure not only helps you apply classroom knowledge but also develops essential teamwork and communication skills highly valued in engineering roles.

What are the key skills and qualifications needed to thrive as an engineering intern, and why are they important?

To thrive as an Engineering Intern, you typically need a strong academic background in engineering principles, problem-solving skills, and progress toward a relevant degree. Familiarity with industry-specific software such as AutoCAD, SolidWorks, MATLAB, or programming languages like Python is often required. Strong teamwork, eagerness to learn, and effective communication skills help interns integrate into project teams and absorb new concepts quickly. These skills and qualities are essential for delivering valuable contributions, adapting to workplace demands, and building a solid foundation for a future engineering career.

What is the difference between Engineering Internship vs Engineering Co-op?

AspectEngineering InternshipEngineering Co-op
CredentialsTypically students or recent graduates; no required certificationsUsually students enrolled in engineering programs; no certifications required
Work EnvironmentShort-term, project-based, often during summerLonger-term, integrated with academic schedule, often semester-based
Employer & Industry UsageCommon in engineering firms, manufacturing, tech companiesCommon in engineering firms, manufacturing, and corporate R&D

Engineering internships and co-ops both provide practical experience in engineering fields. Internships are typically shorter, often during summer, and suited for students exploring careers. Co-ops are longer, integrated with academic programs, offering more in-depth exposure. Both roles help build skills and industry connections, but co-ops usually involve more extended work periods and deeper engagement.

What do you do as an engineering internship?

An engineering internship involves assisting engineers with projects, conducting research, and gaining practical experience in areas such as design, testing, and analysis. Interns often work under supervision, use tools like CAD software, and develop technical skills relevant to their field of study. The role provides hands-on learning and exposure to engineering workflows and industry standards.

Which engineering internship is best for engineering students?

The best engineering internship for students depends on their field of interest, such as mechanical, electrical, or civil engineering. Internships at reputable companies or organizations that offer hands-on experience, mentorship, and exposure to industry tools like CAD or MATLAB are highly valuable. Selecting internships aligned with career goals and gaining relevant skills can enhance future employment prospects.

What are the most commonly searched types of Engineering jobs in Novato, CA?

The most popular types of Engineering jobs in Novato, CA are:

What job categories do people searching Engineering Internship jobs in Novato, CA look for?

The top searched job categories for Engineering Internship jobs in Novato, CA are:

What cities near Novato, CA are hiring for Engineering Internship jobs?

Cities near Novato, CA with the most Engineering Internship job openings:

Engineering Internship jobs near you
Infographic showing various Engineering Internship job openings in Novato, CA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $47,167 per year, or $22.7 per hour.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA • On-site

Temporary, Internship

Posted 16 days ago

Job description

The Opportunity (Summer 2026 AI Internship - Applications Open Now)

We're seeking an AI Engineer Intern to work alongside our AI team on large-scale AI and Agentic  systems from data pipeline to production deployment. This role is scoped for someone with foundational experience who wants to deepen it: you'll own discrete pieces of real systems under the mentorship of senior engineers, not shadow work or isolated coursework-style projects.

What You'll Do

You'll work directly with the AI team, taking responsibility for well-scoped pieces of real systems, with mentorship from senior engineers.

Benchmarks & Evaluation

  • Contribute to APIFlow-Bench, our open-source benchmark for real API-development work: design and review benchmark tasks and their mock API environments, extend the evaluation harness and task-generation pipeline in Python, and help maintain the public multi-model leaderboard with statistical confidence intervals.
  • Help build a new action-level AI safety benchmark: instead of grading what a model says, it scores what an agent actually does inside a simulated enterprise API environment. You'll work on scenario design, threat modeling (prompt injection, data exfiltration, permission overreach), and auditable evaluation design.

Model Training & Efficiency

  • Fine-tune open-weight models for tool calling and agentic tasks (SFT, distillation, and RL) using PyTorch and the open-source training ecosystem, on both managed training platforms and self-managed cloud GPUs.
  • Design and run experiments with rigor: evaluate every training run on our benchmarks, support ablation studies and error analysis, track experiments, and report results honestly, including cost.
  • Evaluate ultra-low-bit quantized models for on-device use: extend our quantized vs. full-precision benchmark comparisons and analyze where and why they diverge.

Agent Systems & Engineering Practice

  • Help build the next generation of Postman's in-product AI agent (Agent Mode): a deliberately minimal agent architecture that calls LLM APIs directly (tool loops, multi-step execution, checkpointing), primarily in TypeScript. No prior TypeScript is required; strong Python fundamentals transfer quickly.
  • Read the source code of open-source agent harnesses and turn what you learn into design specs and prototypes.
  • Document experiments, design decisions, and runbooks so your work is legible to the next person; flag safety, fairness, or privacy concerns you observe in model or agent behavior.
About You
  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, or a related quantitative field.
  • Hands-on experience training or evaluating ML models: course projects, research, hackathons, or a prior internship all count.
  • Solid Python fundamentals: data structures, functions, basic testing; comfortable writing and reviewing code outside of notebooks.
  • Working knowledge of at least one deep-learning framework (PyTorch preferred).
  • Clear written and verbal communication, and a habit of documenting what you build.
Preferred Qualifications  (none required; the more of these you have, the better)
  • Experience fine-tuning open-weight LLMs (SFT, LoRA, RL, or distillation), with the improvement measured on a benchmark.
  • Experience building LLM agents (tool calling, multi-step loops) or LLM evaluation harnesses/benchmarks, and reporting results with statistical rigor.
  • A track record of shipping real software end-to-end: APIs and services, CLIs, Docker, CI/CD, cloud; public code on GitHub is a big plus.
  • Interest or experience in AI safety and robustness: red-teaming, prompt injection, agent security, fairness, or interpretability.
  • Exposure to model-efficiency work: quantization, low-bit inference, or serving optimization.
  • Evidence of rigor and initiative: publications, technical blog posts, ablation studies, or self-driven side projects with quantified results.
  • Fluency with AI coding tools (Claude Code, Cursor, Codex) to ship fast while still deeply understanding the systems you build.

Apply