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Electrical Engineer New Grad Jobs in California (NOW HIRING)

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion for technology and education to help us build ...

Eventual is a company focused on building innovative solutions for Physical AI systems, and they are seeking a New Grad Software Engineer to join their team. In this role, you will contribute to the ...

Software Engineer, New Grad

San Mateo, CA · On-site

$110K - $135K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking New Grad Software Engineers who have a passion for technology and education to help us build ...

About the Role Hermeus is seeking a hands‑on, highly motivated New Grad Manufacturing Engineer to support the development, fabrication, and integration of advanced aerospace hardware, including ...

About the Role Hermeus is seeking a hands-on, highly motivated New Grad Manufacturing Engineer to support the development, fabrication, and integration of advanced aerospace hardware, including weld ...

About the Role Hermeus is seeking a hands‑on, highly motivated New Grad Manufacturing Engineer to support the development, fabrication, and integration of advanced aerospace hardware, including ...

About the Role Hermeus is seeking a hands-on, highly motivated New Grad Manufacturing Engineer to support the development, fabrication, and integration of advanced aerospace hardware, including weld ...

Test Engineer (New Grad)

Los Angeles, CA · On-site

$96K - $106K/yr

Bachelor's degree in mechanical, electrical or similar engineering field. * 1+ years of experience in hardware development, test engineering, experience via project team, research, internship, and/or ...

As a Software Engineer at General Matter, you'll work alongside electrical, mechanical, test, and ... Learn new technologies and technical domains quickly as project needs evolve. Basic Qualifications

About the Role Hermeus is seeking a hands-on, highly motivated New Grad Manufacturing Engineer to support the development, fabrication, and integration of advanced aerospace hardware, including weld ...

Test Engineer (New Grad)

Los Angeles, CA · On-site

$96K - $106K/yr

Bachelor's degree in mechanical, electrical or similar engineering field. * 1+ years of experience in hardware development, test engineering, experience via project team, research, internship, and/or ...

Showing results 21-40

Electrical Engineer New Grad information

See California salary details

$49.8K

$109.6K

$165.8K

How much do electrical engineer new grad jobs pay per year?

As of Aug 23, 2026, the average yearly pay for electrical engineer new grad in California is $109,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $130,300.00 per year, depending on experience, location, and employer.

What does an electrical engineer new grad do?

An Electrical Engineer New Grad typically assists in designing, developing, testing, and supervising the manufacturing of electrical equipment, such as motors, radar and navigation systems, communications systems, and power generation equipment. As a recent graduate, they often work under the guidance of experienced engineers, contributing to projects, preparing documentation, and learning industry standards and safety protocols. Their role may involve both hands-on testing and computer-based design work. This position is an entry point for applying theoretical knowledge from college to real-world engineering problems and often includes opportunities for professional growth and training.

What types of projects and responsibilities can a new graduate electrical engineer expect in their first year on the job?

As a new graduate electrical engineer, you can expect to be involved in a variety of hands-on tasks, such as assisting with circuit design, supporting test procedures, and helping troubleshoot technical issues. You'll likely work closely with senior engineers and cross-disciplinary teams to learn company processes, contribute to project documentation, and participate in regular team meetings. Early responsibilities often focus on developing technical skills, understanding safety standards, and gaining familiarity with industry tools and software. Over time, you'll gradually take on more complex assignments as you build confidence and expertise.

What are the key skills and qualifications needed to thrive as an electrical engineer new grad, and why are they important?

To thrive as an Electrical Engineer New Grad, you need a solid understanding of electrical circuits, design principles, and engineering fundamentals, typically backed by a bachelor's degree in electrical engineering. Familiarity with CAD tools, simulation software like MATLAB or SPICE, and knowledge of industry standards are commonly expected. Strong problem-solving abilities, teamwork, and effective communication help new grads excel in collaborative project environments. These skills and attributes are vital for ensuring technical accuracy, successful project execution, and smooth integration into engineering teams.

What is the difference between Electrical Engineer New Grad vs Electrical Engineer Intern?

AspectElectrical Engineer New GradElectrical Engineer Intern
CredentialsBachelor's degree in Electrical Engineering or related fieldEnrolled in or recent graduate of Electrical Engineering program
Work EnvironmentFull-time, entry-level position in engineering teamsTemporary, part-time or summer position for gaining experience
Employer UsageHired as a full-time engineer after graduationInternship to evaluate potential future employment

The main difference between an Electrical Engineer New Grad and an Electrical Engineer Intern is that the New Grad is a full-time, entry-level position requiring a completed degree, while the Intern is a temporary role designed for students or recent graduates to gain practical experience. Internships often serve as a pathway to full-time employment as an Electrical Engineer New Grad.

What cities in California are hiring for Electrical Engineer New Grad jobs?

Cities in California with the most Electrical Engineer New Grad job openings:

Infographic showing various Electrical Engineer New Grad job openings in California as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,636 per year, or $52.7 per hour.

Software Engineer, New Grad

Eventual Computing

San Francisco, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Eventual
Every breakthrough Physical AI system - humanoid robots, autonomous vehicles, video generation models - is trained on petabytes of video, lidar, radar, and sensor data. But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI. As a result, robotics and video-AI teams iterate on model improvement about once a week. Most of that week isn't training - it's finding the right data: writing CV heuristics over raw footage, paying annotators for edge cases, hand-curating clips before a cluster ever spins up. GPU bandwidth has grown 2-3× per generation. Storage and pipelines haven't. The gap widens every year.
Eventual was founded in 2022 to close it. Our open-source engine, Daft, is the distributed data engine purpose-built for multimodal AI - already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens. We are building a video-native index on top of our engine for Physical AI that collapses the data iteration loop. Describe the dataset you want, get a curated table in minutes, feed it to your GPUs at line rate. One iteration per day becomes the norm.
We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today. We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and angels from the co-founders of Databricks and Perplexity. We've assembled a world-class team from AWS, Render, Pinecone and Tesla. We have spent our careers powering the last generation of PhysicalAI in self-driving, and are excited to now do this for the next.
Join our small (but powerful!) team working together 4 days/week in our SF Mission district office.
Your Role
If you're a new grad and the thought of spending the next two years bolting another LLM into another wrapper makes you tired, read on.
We build real systems. We move petabytes of video through GPU clusters. We profile flamegraphs. We argue about io_uring and Parquet footers. We write Rust and Python. We talk to robotics researchers at the world's top labs about what's actually broken in their training loop, and then we go fix it. The work is hard, the feedback loops are tight, and the impact lands in customer training runs the same week you ship.
As a new grad on our team, you'll work shoulder-to-shoulder with senior engineers on the layers that matter - Daft's distributed query engine, our video-native dataloader, the storage and indexing layer, the visual understanding pipeline, or the product surface researchers actually use. You'll be given real ownership early. You'll get mentorship from engineers who've spent careers on systems at AWS, Tesla, Pinecone, and Render. You'll ship code that runs on the most expensive GPU clusters on the planet.
We're looking for the kind of new grad who built something obsessive in undergrad - a database, a game engine, a kernel hack, a custom decoder, a research project that wouldn't quit - not because it was assigned, but because they couldn't stop thinking about it.
Key Responsibilities
  • Contribute to features across Eventual's stack: the open-source Daft query engine, the dataloading layer, the storage and indexing layer, or the visual understanding pipeline.
  • Profile, benchmark, and optimize real systems on real workloads - petabytes of customer video on real GPU clusters.
  • Write clean, maintainable Python and Rust. Read papers, prototype, ship to production.
  • Pair with senior engineers who'll teach you systems work the right way - and trust you with real ownership early.
  • Sit in on customer calls with researchers at top Physical AI labs. The shortest path from "researcher mentions a pain" to "engineer ships a fix" is the path we want you on.

What we look for
  • Within ~1 year of graduating, or recently graduated.
  • Strong programming fundamentals in Python, Rust, C++, or Go. Bonus points if you've reached for the lower-level languages because the problem demanded it.
  • A real love for systems, distributed systems, databases, or data infrastructure - the kind of love that shows up in side projects, course projects you took further than required, or open-source contributions.
  • Hungry. Curious. Willing to read papers, dig into a profiler, and stick with a hard problem until it gives.
  • Excited to work in person, in a small team, in an SF office, 4 days a week.

Nice to have
  • Built something obsessive in undergrad: a database, a query engine, a compiler, a custom decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project.
  • Open-source contributions, especially to systems projects.
  • Internship experience at a systems-heavy team - databases, ML infrastructure, GPU/HPC, storage, networking.
  • Familiarity with cloud technologies (AWS, GCP, Azure).
  • Background in computer architecture, OS, compilers, or distributed systems.

Perks & Benefits
  • In-person, tight-knit team - 4 days/week in our SF Mission office.
  • Competitive comp and meaningful startup equity.
  • Catered lunches and dinners for SF employees.
  • Commuter benefit.
  • Team-building events and poker nights.
  • Health, vision, and dental coverage.
  • Flexible PTO.
  • Latest Apple equipment.
  • 401(k) plan with match.

If you're tired of vibe-coding wrappers and ready to get cracked on systems that move petabytes of video through the most expensive GPU clusters on the planet, we'd love to talk.