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Datacenter Internship Jobs in California (NOW HIRING)

... datacenters worldwide and powers Amazon Aurora service. These are core systems development ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and ... Ability to excel in a fast-paced, startup-like environment Experience * 8+ years of non-internship ...

HPC Software Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Experience with cloud and datacenter technologies, including compute, networking, storage ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and ... Ability to excel in a fast-paced, startup-like environment Experience * 8+ years of non-internship ...

Experience with cloud and datacenter technologies, including compute, networking, storage ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Sr. Logic Design Engineer

Santa Clara, CA · On-site

$141K - $200K/yr

... datacenter/server designs. Responsibilities will include but not limited to: - Develops the logic ... internship experiences and or schoolwork/classes/research. Job Type: Experienced Hire Shift: Shift ...

Sr. Logic Design Engineer

Santa Clara, CA · On-site

$141K - $200K/yr

... datacenter/server designs. Responsibilities will include but not limited to: - Develops the logic ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

We welcome both recent graduates with strong, directly relevant project, research, or internship ... Strong working knowledge of computer systems, GPU systems, and datacenter networking - including ...

Showing results 21-40

Datacenter Internship information

What is the difference between Datacenter Internship vs Data Center Technician?

AspectDatacenter InternshipData Center Technician
Required CredentialsTypically pursuing or recent graduate in IT, Computer Science, or related fieldsHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentTraining-focused, supervised environment within data centers or IT departmentsHands-on technical work in data centers, including hardware setup and maintenance
Employer & Industry UsageInternships offered by tech companies, data center providers, and IT firmsFull-time or part-time roles in data center operations across various industries

While a Datacenter Internship provides training and exposure to data center operations, a Data Center Technician performs hands-on technical tasks regularly. Internships are ideal for gaining experience, whereas technicians handle daily maintenance and troubleshooting.

What are the most commonly searched types of Datacenter jobs in California?

The most popular types of Datacenter jobs in California are:

What job categories do people searching Datacenter Internship jobs in California look for?

The top searched job categories for Datacenter Internship jobs in California are:

Infographic showing various Datacenter Internship job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineer

Gradient Robotics

San Francisco, CA • On-site

Full-time

Posted 21 days ago


Job description

About the Company
The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.
Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.
About the role
We're looking for a Software Engineer to help move data from AI models to actuators. You'll work close to the hardware, from kernel and firmware up through the controls and perception layers, contributing to real-time pipelines that move hundreds of megabytes at single-digit millisecond latency. Vision inference, control loops, and actuation all live on the same clock, and you'll help keep them there. The goal: bring visibility and determinism into the end-to-end inference pipeline so the ML model is the only stochastic component. We iterate fast (multiple robot generations in months, not years), so the code you ship lands on real machines doing real precision work almost immediately.
Responsibilities
  • Ship performance-critical code to real robots daily
  • Learn the full data flow: camera frames in, perception and planning in the middle, control commands and actuator feedback out, and the systems that carry them
  • Contribute to the real-time control loop: help keep high-rate control running deterministically alongside vision inference
  • Build pieces of the perception data path: move high-bandwidth camera streams into the CV and ML models with minimal latency and zero silent drops
  • Push down latency and tighten the stack to make the system faster, more deterministic, and more reliable
  • Bring visibility into the pipeline: build tooling and instrumentation that make real-time behavior across controls and vision observable and debuggable
Minimum Qualifications
  • 1+ years of software engineering experience building systems close to hardware (exceptional new grads with strong project or internship experience are welcome to apply)
  • Strong programming fundamentals in at least one of Rust, C++, or Python, with solid understanding of operating systems and multithreading
  • Experience building things: production systems, internal tools, student teams, or personal projects that worked
  • Debugged real timing, concurrency, or hardware issues, even in a project setting
  • Comfort with ambiguity and a strong learn-by-doing instinct
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team
Preferred Qualifications
  • Linux kernel or embedded systems experience
  • Exposure to build and test infrastructure: Bazel, Nix, HIL testing, or CI/CD
  • Experience with real-time control systems: motor control, high-rate control loops, or robot controllers
  • Computer vision pipeline experience: camera drivers, image transport, GPU inference, or sensor synchronization
  • Tracing and profiling experience: ftrace, flamegraphs, eBPF
  • Comfort using AI tools to multiply your own output