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Grad Engineer Jobs in California (NOW HIRING)

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 help build the next generation of AI infrastructure. From day one, you'll work on real product ...

Software Engineer Grad

Santa Clara, CA · On-site

$119K - $179K/yr

THE ROLE As a Software Engineer Grad, you will be part of a team that's building the future of data storage and management. You'll apply your foundational knowledge to tackle challenging, real-world ...

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Grad Engineer information

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

To thrive as a Graduate Engineer, you need a strong foundation in engineering principles, analytical problem-solving, and a relevant engineering degree. Familiarity with industry-standard software such as AutoCAD, MATLAB, or SolidWorks, and sometimes certifications like EIT (Engineer in Training), are commonly expected. Effective communication, teamwork, and adaptability help you excel in collaborative and fast-paced project environments. These skills ensure you can contribute effectively to technical projects, learn quickly, and support organizational goals as you develop professionally.

What opportunities for mentorship and professional development are typically available to Grad Engineers?

Grad Engineers often benefit from structured mentorship programs and regular training sessions, designed to help them transition smoothly into the professional engineering environment. They typically work closely with senior engineers and project managers, gaining hands-on experience and feedback on their work. Many organizations also encourage Grad Engineers to attend workshops, pursue certifications, and participate in cross-functional projects, fostering both technical skills and professional growth. These opportunities support career advancement and help Grad Engineers build a strong foundation for future leadership roles.

What are Grad Engineers?

Grad Engineers, short for Graduate Engineers, are individuals who have recently completed an engineering degree and are beginning their professional careers. They typically join organizations in entry-level engineering roles, where they receive training, mentorship, and hands-on experience in their chosen field. Grad Engineers are expected to apply the theoretical knowledge gained during their studies to real-world projects, contributing to problem-solving and innovation within their teams. Over time, they develop technical and professional skills that prepare them for more senior engineering positions.

What is the difference between Grad Engineer vs Junior Engineer?

AspectGrad EngineerJunior Engineer
Required CredentialsBachelor's degree in engineering or related field; internship or project experienceBachelor's degree in engineering; entry-level position
Work EnvironmentTraining programs, mentorship, learning-focusedProject work, task execution, supervised responsibilities
Employer & Industry UsageEntry-level role in engineering firms, manufacturing, constructionInitial role for recent graduates in similar industries

In summary, a Grad Engineer is typically a recent graduate undergoing training and development, while a Junior Engineer is an entry-level professional responsible for supporting engineering projects. Both roles require similar educational backgrounds, but the Grad Engineer position emphasizes learning and skill-building.

What cities in California are hiring for Grad Engineer jobs? Cities in California with the most Grad Engineer job openings:
Infographic showing various Grad Engineer job openings in California as of May 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Software Engineer, New Grad

FlexAI

San Jose, CA • On-site

$100K - $150K/yr

Full-time

Posted 29 days ago


Job description

About FlexAI
Build and Deploy AI the right way, anywhere.
The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood.
Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product - we're shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.
If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !
Role Overview
FlexAI is looking for a Software Engineer (New Grad) to join our engineering team and help build the next generation of AI infrastructure.
From day one, you'll work on real product features that impact customers - not sandbox projects. You'll collaborate closely with a small, experienced team and learn by building across a wide range of technical challenges.
We move fast and value engineers who are curious, proactive, and excited to take ownership - with strong mentorship and support to help you grow quickly.
What You'll Do
  • Design and build highly reliable, resilient infrastructure products and features
  • Work closely with developers, product, and customer-facing teams to solve real problems
  • Write high-quality, extensible, and maintainable code
  • Design and build APIs to drive existing and new platform features
  • Build solutions with a high level of reliability, scalability, and security
  • Debug issues and improve system performance
  • 0-to-1 creation: Rapidly iterate - from idea to deployment
  • Take ownership of features and drive them to completion

What You'll Need to Be Successful
  • B.S. or M.S. in Computer Science, Software Engineering, or a related technical field
  • At least one internship - ideally in a high-growth startup or infrastructure environment
  • Strong coding ability in at least one language such as Python, Go, Java, or Javascript
  • Experience using AI coding tools (Claude, Codex, Others)
  • Solid fundamentals in data structures, algorithms, and writing efficient, scalable code
  • Familiarity with web applications or API development
  • Strong problem-solving skills and attention to detail
  • Ability to learn quickly and operate with increasing independence
  • Clear communication and ability to collaborate across teams
  • Contributions to open source, hackathons, or shipped side projects is a plus

What We Offer
  • A competitive salary and benefits package
  • Work on cutting-edge AI infrastructure
  • Build products used by developers and enterprises
  • High ownership, fast execution, real impact
  • Collaborative, high-caliber team

The pay range for this role is:
100,000 - 150,000 USD per year (US)