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Internship Instrumentation Control Jobs in California

Vision inference, control loops, and actuation all live on the same clock, and you'll help keep ... Bring visibility into the pipeline: build tooling and instrumentation that make real-time behavior ...

Support design and development of instrumentation and control products under guidance from senior ... Internship or academic project experience in electronics or embedded systems preferred. * Exposure ...

Support design and development of instrumentation and control products under guidance from senior ... Internship or academic project experience in electronics or embedded systems preferred. * Exposure ...

... control systems and actuators, programmable logic controllers, reactor instrumentation, and ... year of internships, student projects, and/or extracurricular projects) Preferred Skills and ...

... control systems and actuators, programmable logic controllers, reactor instrumentation, and ... year of internships, student projects, and/or extracurricular projects) Preferred Skills and ...

... control systems and actuators, programmable logic controllers, reactor instrumentation, and ... year of internships, student projects, and/or extracurricular projects) Preferred Skills and ...

Mechanical Design Engineer

El Segundo, CA

$81K - $109K/yr

... internship experience qualifies) * Strong understanding of engineering first principles ... Experience using test instrumentation and control components (e.g. pressure transducers ...

... internships/co-ops considered). * Working knowledge of Python programming. * Basic understanding of ... Familiarity with laboratory instrumentation, embedded hardware, ATE, or manufacturing environments ...

... internships/co-ops considered). * Working knowledge of Python programming. * Basic understanding of ... Familiarity with laboratory instrumentation, embedded hardware, ATE, or manufacturing environments ...

NPI Test Engineer

Healdsburg, CA · On-site

$75K - $110K/yr

... control systems, and optical instrumentation. * Collect, analyze, and document test data using ... Internship, capstone, undergraduate research, Formula SAE, robotics, UAV, or other hands-on ...

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Internship Instrumentation Control information

What is the difference between Internship Instrumentation Control vs Internship Electrical Engineering?

AspectInternship Instrumentation ControlInternship Electrical Engineering
Required CredentialsRelevant coursework, technical certifications in instrumentation and control systemsElectrical engineering fundamentals, technical certifications in electrical systems
Work EnvironmentIndustrial plants, manufacturing facilities, automation settingsPower plants, electrical design firms, manufacturing
Industry UsageAutomation, process control, manufacturingPower generation, electrical systems design, electronics

Internship Instrumentation Control focuses on automation, process control, and instrumentation systems, often in industrial environments. Internship Electrical Engineering covers electrical system design, power systems, and electronics. Both internships share technical foundations but differ in application areas and industry focus.

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

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

What cities in California are hiring for Internship Instrumentation Control jobs?

Cities in California with the most Internship Instrumentation Control job openings:

Software Engineer

Gradient Robotics

San Francisco, CA • On-site

Full-time

Posted 22 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