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New Grad Computer Engineer Jobs in California (NOW HIRING)

FlexAI

Software Engineer, New Grad

San Jose, CA

Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

Role Overview FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

AppLovin

Backend Engineer, New Grad

Palo Alto, CA

A Day in the Life As a member of our backend software engineering team, you'll solve technical ... Have excellent knowledge of computer science fundamentals including data structures, algorithms ...

Sierra Pacific Industries

Engineer - Computer

Anderson, CA · On-site

$70K - $115K/yr

Conceptualize new software and hardware solutions for our production needs * Maintain and improve ... Bachelor's degree in Computer Science, Computer Engineering, or comparable degree * Proficient in C ...

IXL Learning

Software Engineer, New Grad

San Mateo, CA

$110K - $135K/yr

You can fine-tune your existing skills and learn new ones as you work on one of our many teams. You ... Bachelor's or advanced degree in computer science or a related discipline * Excellent programming ...

IXL Learning

Software Engineer, New Grad

San Mateo, CA · On-site

$110K - $135K/yr

You can fine-tune your existing skills and learn new ones as you work on one of our many teams. You ... Bachelor's or advanced degree in computer science or a related discipline * Excellent programming ...

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All JobsNew Grad Computer Engineer JobsNew Grad Computer Engineer Jobs in California

New Grad Computer Engineer information

What is the difference between New Grad Computer Engineer vs Software Developer?

AspectNew Grad Computer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentHardware and software integration, embedded systems, networkingApplication development, coding, debugging
Employer & Industry UsageTech companies, hardware firms, embedded systemsTech firms, startups, software companies

While both roles often require a bachelor's degree, New Grad Computer Engineers focus on hardware-software integration and embedded systems, whereas Software Developers primarily work on application coding and software solutions. The roles may overlap in tech companies, but their core responsibilities and skill sets differ.

What are the key skills and qualifications needed to thrive as a New Grad Computer Engineer, and why are they important?

To thrive as a New Grad Computer Engineer, you need a solid understanding of computer science fundamentals, programming languages (such as Python, Java, or C++), and a relevant bachelor's degree. Familiarity with development tools, version control systems like Git, and experience with software or hardware development environments are typically required. Problem-solving, strong communication, and a willingness to learn new technologies help new grads stand out. These skills are crucial for effectively contributing to project teams, adapting to evolving industry demands, and building a successful engineering career.

What does a New Grad Computer Engineer do?

A New Grad Computer Engineer typically works on designing, developing, testing, and maintaining computer hardware or software systems. They may collaborate with teams to create and optimize systems, troubleshoot technical issues, and contribute to various stages of product development. As recent graduates, they often receive mentorship and training to build their skills and adapt to professional environments. Their roles can vary widely depending on the industry and company, ranging from embedded systems to application development.

What are some common challenges new grad computer engineers face when transitioning from academia to a professional work environment?

New grad computer engineers often find the transition to a professional setting challenging due to the need to quickly adapt to real-world development processes, such as agile workflows, version control systems, and collaborative coding practices. Unlike academic projects, industry work typically involves larger codebases, strict deadlines, and cross-functional teamwork, requiring strong communication skills and the ability to ask for help when needed. Additionally, understanding business requirements and balancing technical decisions with organizational goals can be a learning curve, but these challenges provide valuable opportunities for growth and skill development.
What cities in California are hiring for New Grad Computer Engineer jobs? Cities in California with the most New Grad Computer Engineer job openings:
New Grad Computer Engineer jobs near you
Infographic showing various New Grad Computer Engineer job openings in California as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Software Engineer, New Grad

Eventual Computing

San Francisco, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

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.

Apply