Title: Power Systems Engineer
Location: Menlo Park, CA
Duration: 12 months
Duties:
· Model system components including motors, solar cells, and batteries, predicting performance as a function of environmental conditions, power, aging, manufacturing variability
· Perform and support trade studies on aircraft power system designs, to assist decision-making and design.
· Convert subsystem requirements into specific analysis projects and tests
· Analyze test data and communicate results. Feed results back into models.
Experience:
· Candidates should be able to show examples of the following in their resume:
· 5+ years in industry working on multi-disciplinary modeling or analysis projects.
· Aerospace experience preferred
· Experience cascading system requirements to subsystem and component level, and verifying their successful completion Hands-on experience with new product development
· Must have demonstrated analysis skills for physics problems as applied to power systems (e.g. electrical, solar, battery)
· Must have demonstrated excellent presentation and communication skills
· Experience with modeling tools (e.g. python or MATLAB)
Education:
Master's degree in Electrical Engineering, Physics, Mechanical Engineering, Computer Science
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Collabera San Francisco, California, USA Office
2 Embarcadero Center, 8th Floor, San Francisco, United States, 94111
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



