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New Grad Internship Jobs in Riverside, CA (NOW HIRING)

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New Grad Internship information

See Riverside, CA salary details

$11

$20

$30

How much do new grad internship jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for new grad internship in Riverside, CA is $20.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.83 per hour, depending on experience, location, and employer.

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

To thrive as a New Grad Intern, you generally need a relevant academic background, eagerness to learn, and basic knowledge in your field of study. Familiarity with industry-standard tools, software, or platforms (such as Microsoft Office, project management software, or coding languages, depending on the industry) is often beneficial. Strong communication, adaptability, and willingness to take initiative help new interns stand out and integrate effectively into teams. These skills and qualities are crucial for maximizing learning, contributing to projects, and building a foundation for future career growth.

What is a New Grad Internship?

A New Grad Internship is a temporary work opportunity designed for recent college or university graduates who have little to no professional experience in their field. These internships help new grads gain practical skills, industry exposure, and valuable work experience that can make them more competitive in the job market. New Grad Internships often last between a few months to a year and can sometimes lead to full-time employment upon successful completion.

What is the difference between New Grad Internship vs Entry-Level Software Developer?

AspectNew Grad InternshipEntry-Level Software Developer
Required CredentialsTypically recent graduates or students, some may have limited certificationsBachelor's degree in CS or related field, some certifications optional
Work EnvironmentTemporary, training-focused, often part-time or summer programsFull-time, ongoing employment, more responsibility
Employer & Industry UsageCommon in tech companies, startups, and large firms for training new talentStandard entry point into software engineering roles across industries

In summary, a New Grad Internship is a temporary, training-focused position designed for recent graduates or students to gain industry experience. An Entry-Level Software Developer role is a full-time position with ongoing responsibilities, suitable for those who have completed their education and are ready to contribute long-term to a company.

What can I expect in terms of mentorship and learning opportunities during a New Grad Internship?

As a New Grad Intern, you can typically expect to work closely with experienced professionals who will provide guidance and support through structured mentorship programs or one-on-one coaching. Many organizations offer onboarding sessions, regular feedback meetings, and opportunities to participate in team projects, allowing you to learn both technical and soft skills. Interns often have access to resources such as workshops, training sessions, and networking events, all designed to help you grow and transition smoothly into a full-time role if desired.
What cities near Riverside, CA are hiring for New Grad Internship jobs? Cities near Riverside, CA with the most New Grad Internship job openings:
New Grad Internship jobs near you

New Grad Software Engineer - Physical AI Compute

Blueridge Global Partners Inc.

Irvine, CA

Other

Posted 19 days ago

Job description

Positon Name: New Grad Software Engineer — Physical AI Compute


About Blueridge

Blueridge is building the compute foundation for real-time Physical AI — intelligent systems that must process rich sensor data, make decisions, and act under demanding real-world constraints of latency, bandwidth, power, size, and reliability.

Our X²PU architecture is a unified polymorphic compute platform designed for workloads that span signal processing, AI/ML, linear algebra, optimization, control, and real-time decision-making. Blueridge Global is developing this platform through full-stack hardware, software, and algorithm co-design for applications such as autonomous systems, robotics, wireless infrastructure, aerospace and defense, industrial automation, and edge AI.

Blueridge Global is led by an experienced team of computer architects, chip designers, software leaders, and semiconductor executives with deep backgrounds in advanced SoCs, wireless, AI/ML, compute, and high-volume technology products. This is an opportunity to join a team building a new class of compute platform for real-world AI.


Location

Primary location: Irvine, CA

Alternate location: Santa Clara, CA

This is an on-site role.


Job role groups

Software Developers and Engineers, Computer Systems Engineers/Architects, Microsystems Engineers


Job Type

Full-time, new graduate / entry-level


Compensation & Benefits

Expected pay

80,000–100,000 USD per year

Additional compensation

Bonus Equity package

Benefits

MedicalDentalPaid time off401(k) match Vision


About the Role

As a New Grad Software Engineer — Physical AI Compute, you will help build the software foundation for Xcelerium’s X²PU architecture.

This role sits at the intersection of computer architecture, compilers, SDKs, performance modeling, AI frameworks, and Physical AI applications. You will contribute to tools and software that allow developers to understand, program, optimize, and deploy workloads on a new X²PU architecture purpose-built for real-time Physical AI.

You will work with leading computer architects and expert chip designers to help define the software stack for a new class of real-time compute.

We are looking for highly curious, technically strong, and ambitious engineers with excellent programming skills, strong systems instincts, and the desire to learn quickly in a deep technical environment.


What You’ll Do

  • Build architectural models, simulators, and performance-analysis tools for the X²PU architecture.
  • Contribute to compiler, runtime, SDK, and developer-tooling infrastructure for programming and optimizing X²PU workloads.
  • Help map Physical AI workloads onto a new computer architecture, including signal processing, AI/ML, linear algebra, optimization, and control workloads.
  • Develop and optimize software kernels, libraries, APIs, examples, and application demos.
  • Work on software tools that help evaluate latency, throughput, memory movement, utilization, power, and performance tradeoffs.
  • Collaborate with architects, chip designers, firmware engineers, and application developers to connect hardware capabilities with software usability.
  • Prototype Physical AI applications in areas such as sensing, perception, autonomy, robotics, wireless, or real-time edge AI.
  • Integrate with or build around modern AI and compiler ecosystems where appropriate.
  • Write clean, well-tested, well-documented code that can grow into production-quality software infrastructure.
  • Participate in technical design reviews and help shape how developers program a new X²PUplatform.


What We’re Looking For

  • B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent hands-on project/internship experience.
  • Strong programming skills in C/C++ and Python.
  • Strong fundamentals in data structures, algorithms, systems programming, debugging, and software engineering.
  • Familiarity with computer architecture concepts such as memory hierarchy, parallelism, instruction execution, vector/SIMD processing, accelerators, GPUs, DSPs, or embedded systems.
  • Familiarity with compilers, runtimes, SDKs, AI frameworks, or performance modeling.
  • Comfort working in Linux development environments using tools such as Git, build systems, debuggers, profilers, and test frameworks.
  • Strong analytical ability and interest in performance, efficiency, latency, and real-time system behavior.
  • Clear written and verbal communication skills, including the ability to explain technical tradeoffs.
  • High ownership, intellectual curiosity, and a desire to learn from experienced engineers.

RTL, System Verilog, or hardware design experience is not required for this role. Curiosity about hardware/software co-design and computer architecture is important.


Preferred Qualifications

  • Experience with compiler infrastructure such as LLVM, MLIR, TVM, IREE, Halide, XLA, or similar systems.
  • Experience with AI frameworks or model formats such as PyTorch, TensorFlow, JAX, ONNX, or related deployment tools.
  • Experience with performance modeling, architecture simulation, workload analysis, or benchmarking.
  • Experience optimizing software for GPUs, DSPs, CPUs, NPUs, FPGAs, or other accelerators.
  • Familiarity with CUDA, OpenCL, SYCL, SIMD/vector programming, embedded software, or low-level performance optimization.
  • Interest in real-time systems, robotics, autonomy, edge AI, signal processing, radar/RF sensing, control systems, or physical-world computing.
  • Experience with numerical computing, linear algebra, FFTs, filters, optimization algorithms, or ML inference.
  • Research, internship, open-source, compiler, systems, AI, robotics, or architecture project experience.


Projects We’d Be Excited to Discuss

We are especially interested in candidates who have built, optimized, or analyzed complex software or systems projects, such as:

  • A compiler pass, code generator, graph compiler, runtime, or domain-specific language.
  • An architectural simulator, performance model, profiler, or benchmarking framework.
  • A CUDA, OpenCL, SIMD, DSP, or accelerator-optimized kernel.
  • An AI model deployment, quantization, inference, or edge-AI project.
  • A robotics, perception, sensing, control, or autonomous-systems application.
  • A signal-processing pipeline involving FFTs, filters, beamforming, localization, tracking, or sensor fusion.
  • An SDK, developer tool, API, library, or open-source software project.
  • A research or class project involving computer architecture, compilers, machine learning systems, or embedded systems.

Why Join Blueridge Global Partners Inc.

  • Work with leading computer architects and expert chip designers on a new X²PU architecture.
  • Help build the compiler, SDK, modeling, and application software stack for X²PU.
  • Contribute to a differentiated platform for real-time Physical AI and autonomy.
  • Work across the full stack: architecture, compilers, runtime software, performance tools, AI frameworks, and applications.
  • Build software where latency, throughput, memory movement, power, and programmability all matter.
  • Learn how advanced hardware and software are co-designed for production silicon.
  • Join a team that values technical depth, first-principles thinking, clean code, thoughtful documentation, and high ownership.

Equal Opportunity

  • Blueridge Global is an equal opportunity employer. We are committed to building a team that reflects a wide range of backgrounds, experiences, and perspectives. We encourage candidates who are excited by our mission and believe they can contribute to apply.

Position Details

Job title New Grad Software Engineer

Position type Job

Work-Study program No


Location Requirements

Location type Onsite

Onsite location

Irvine, California, United States · Santa Clara, California, United States


Time Requirements

Schedule Full time

Employment duration Permanent


Candidate Qualifications & Skill

Work authorization

  • This job requires US work authorization
  • This job is open to candidates with Curricular Practical Training (CPT)
  • This job is open to candidates with Optional Practical Training (OPT)


Skills

Algorithms/C++Data Structures Debugging PythonSoftware Engineering Systems Programming

Degree level Bachelors/Masters

School year Senior

Latest graduation date June 2026

Major groups Computer Engineering Electrical Engineering

Minimum GPA 3.5

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