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Intern Probabilistic Risk Analysis Engineer Jobs in Santa Clara, CA

Program Analysis Engineer

Palo Alto, CA · On-site

$160 - $220/hr

About the Role We are looking for a Program Analysis Engineer with an interest in program analysis ... dependencies, and prioritize risk across the software supply chain. * Participate in ...

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About the Role We are looking for a Program Analysis Engineer with an interest in program analysis ... risk across the software supply chain. * Participate in machine-learning experiments for SCA and ...

About the Role We are looking for a Program Analysis Engineer with an interest in program analysis ... risk across the software supply chain. * Participate in machine-learning experiments for SCA and ...

As the Senior Failure Analysis Engineer, you will play a key role in advancing the reliability of ... Ensure learnings from investigations are integrated into design controls, risk assessments, FMEAs ...

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Intern Probabilistic Risk Analysis Engineer information

See Santa Clara, CA salary details

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How much do intern probabilistic risk analysis engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern probabilistic risk analysis engineer in Santa Clara, CA is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $24.57 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA?

The most popular types of Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Intern Probabilistic Risk Analysis Engineer jobs?

Cities near Santa Clara, CA with the most Intern Probabilistic Risk Analysis Engineer job openings:

Energy Systems Research Engineer Intern

Gridmatic Inc

Cupertino, CA

$20.75 - $26.75/hr

Internship

Posted 15 days ago


Job description

As an intern, you'll work with Gridmatic's research engineers on electricity market simulation, directly supporting SCUC/SCED development.

Responsibilities: 

  • Develop/maintain network security analysis (NSA) to produce reliability constraints across large-scale ISO systems
  • Assist in building and validating SCUC/SCED models, with realistic transmission and contingency constraints.
  • Help automate NSA for integration into market optimization workflows.
  • Support data processing pipelines for network, generator, and market datasets across ISOs (ERCOT, PJM, CAISO, etc.)
  • Experiment with machine learning approaches to accelerate dispatch or contingency evaluation.
  • Document results, highlight performance gaps, and propose improvements

Qualifications: 

  • Enrolled in EE, or Energy Systems (MS or PhD student)
  • Coursework in power system operations (unit commitment, economic dispatch, OPF)
  • Familiarity with power flow and network modeling
  • Solid programming skills in Python
  • Comfort with optimization formulations (linear, MILP)
  • Strong problem-solving skills and eagerness to learn real-world ISO practices

Bonus Skills:

  • Experience with SCUC/SCED formulations in research or coursework
  • Exposure to market data from ISOs (bids, constraints, outage/contingency reports)
  • Familiarity with probabilistic or ML-based methods