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Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)

Tesla

Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)

Tesla logo

Tesla

internship

Posted: January 1, 1970

Number of Vacancies: 1

Job Description

Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success. Within solar hardware engineering, the electrical and optical team designs the core PV cells and modules transforming energy in Tesla’s solar products. We also model system energy yield, validate with field data, and improve our product designs to maximize energy generation. Modeling insights are key part of the product development cycle both to set next generation directions as well as to make the right design tradeoff decisions.The intern within the Electrical and Optical Design team will advance energy modeling by considering business value metrics, incorporating factors for soiling and loss modeling, validating results against large nation-wide fleet and climate data sets, and generating insights on where product improvements would create the greatest gains.One of our focus areas is to reduce optical losses associated with soiling. PV panel soiling (accumulation of dust, contaminants, or debris) causes light absorption or scattering leading to power loss. PV performance data from outdoor monitoring systems help estimate soiling losses driven by module specifications, installation configuration and local weather patterns. Modeling these effects is critical to estimating PV module performance and improving energy yield.Location: Palo Alto, CA

Locations

  • Palo Alto, California, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

60,000 - 75,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Coding (especially python)intermediate
  • numerical modelingintermediate
  • Data analysisintermediate
  • visualizing large data setsintermediate
  • image processingintermediate
  • understanding of fundamental physics with respect to solar cell operationintermediate
  • light reflection, transmission, absorption, and scatteringintermediate
  • laboratory experience with testing and characterization of solar panelsintermediate
  • knowledge of environmental monitoring and analysisintermediate

Required Qualifications

  • Pursuing a Degree in Physics, Electrical Engineering, Data Analytics, Computer Science or related field (degree in physics)
  • Coding (especially python) and numerical modeling (experience)
  • Data analysis, visualizing large data sets, image processing (experience)
  • Good understanding of fundamental physics with respect to solar cell operation, light reflection, transmission, absorption, and scattering (experience)
  • Prior laboratory experience with testing and characterization of solar panels (experience)
  • Basic knowledge of environmental monitoring and analysis (experience)

Responsibilities

  • Assess and implement additional climate factors for better soiling prediction
  • Analyze large fleet datasets to evaluate model performance
  • Root cause gaps in model performance (e.g. panel model, climate data, system controls) and prioritize improvements
  • Collaborate with team members on product improvement field testing and data collection
  • Model impact of product improvements after analyzing performance data

Benefits

  • general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • general: Family-building, fertility, adoption and surrogacy benefits
  • general: Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
  • general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
  • general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • general: 401(k), Employee Stock Purchase Plans, and other financial benefits
  • general: Company Paid Basic Life, AD&D, and short-term disability insurance
  • general: Employee Assistance Program
  • general: Sick time after 90 days of employment and Paid Holidays
  • general: Back-up childcare and parenting support resources
  • general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • general: Commuter benefits
  • general: Employee discounts and perks program

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Tesla logo

Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)

Tesla

Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)

Tesla logo

Tesla

internship

Posted: January 1, 1970

Number of Vacancies: 1

Job Description

Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (ending approximately May 2026) or continuing into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success. Within solar hardware engineering, the electrical and optical team designs the core PV cells and modules transforming energy in Tesla’s solar products. We also model system energy yield, validate with field data, and improve our product designs to maximize energy generation. Modeling insights are key part of the product development cycle both to set next generation directions as well as to make the right design tradeoff decisions.The intern within the Electrical and Optical Design team will advance energy modeling by considering business value metrics, incorporating factors for soiling and loss modeling, validating results against large nation-wide fleet and climate data sets, and generating insights on where product improvements would create the greatest gains.One of our focus areas is to reduce optical losses associated with soiling. PV panel soiling (accumulation of dust, contaminants, or debris) causes light absorption or scattering leading to power loss. PV performance data from outdoor monitoring systems help estimate soiling losses driven by module specifications, installation configuration and local weather patterns. Modeling these effects is critical to estimating PV module performance and improving energy yield.Location: Palo Alto, CA

Locations

  • Palo Alto, California, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

60,000 - 75,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Coding (especially python)intermediate
  • numerical modelingintermediate
  • Data analysisintermediate
  • visualizing large data setsintermediate
  • image processingintermediate
  • understanding of fundamental physics with respect to solar cell operationintermediate
  • light reflection, transmission, absorption, and scatteringintermediate
  • laboratory experience with testing and characterization of solar panelsintermediate
  • knowledge of environmental monitoring and analysisintermediate

Required Qualifications

  • Pursuing a Degree in Physics, Electrical Engineering, Data Analytics, Computer Science or related field (degree in physics)
  • Coding (especially python) and numerical modeling (experience)
  • Data analysis, visualizing large data sets, image processing (experience)
  • Good understanding of fundamental physics with respect to solar cell operation, light reflection, transmission, absorption, and scattering (experience)
  • Prior laboratory experience with testing and characterization of solar panels (experience)
  • Basic knowledge of environmental monitoring and analysis (experience)

Responsibilities

  • Assess and implement additional climate factors for better soiling prediction
  • Analyze large fleet datasets to evaluate model performance
  • Root cause gaps in model performance (e.g. panel model, climate data, system controls) and prioritize improvements
  • Collaborate with team members on product improvement field testing and data collection
  • Model impact of product improvements after analyzing performance data

Benefits

  • general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
  • general: Family-building, fertility, adoption and surrogacy benefits
  • general: Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
  • general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
  • general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • general: 401(k), Employee Stock Purchase Plans, and other financial benefits
  • general: Company Paid Basic Life, AD&D, and short-term disability insurance
  • general: Employee Assistance Program
  • general: Sick time after 90 days of employment and Paid Holidays
  • general: Back-up childcare and parenting support resources
  • general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • general: Commuter benefits
  • general: Employee discounts and perks program

Target Your Resume for "Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)" , Tesla

Get personalized recommendations to optimize your resume specifically for Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Internship, Solar Hardware Engineer, Energy Engineering (Winter/Spring 2026)" , Tesla

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Engineering & Information TechnologyAutopilot

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