Padmi
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electric vehicles · battery energy storage systems (BESS)

Sr. CAE Analysis Engineer, Energy Products

San Francisco Bay Area · Onsite$91.6k–$316.8k/yrPosted 2 days ago
HardwareSeniorFull TimeH-1B track record
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Sr. CAE Analysis Engineer, Energy Products

| Job Category | Engineering & Information Technology | | Location | Palo Alto, California | | Req. ID | 256341 | | Job Type | Full-time |

What to Expect

Our charter is to design robust and reliable electronics enclosures to enable the successful deployment and operation of Tesla’s utility-scale storage and Supercharging products. We work in a space crowded with regulatory requirements where competitors and suppliers are often invested in the status quo. Our team’s job is to ignore the status quo, challenge rules where appropriate, and implement fundamentals-only engineering to make the absolute best products possible.

As an Analysis Engineer, you will play a critical role in the development and manufacturing of next-generation Tesla Energy products. You will analyze and optimize revolutionary products never before executed. You will excel both technically as an individual and as an active member in a diverse and challenging cross-functional team environment. You will work with Industrial Enclosure & Battery Engineering teams to analyze the performance of current and future designs, and you will work with Test Engineering teams to develop tests, correlate simulation models, and improve the predictive capability of Analysis Engineering at Tesla.

What You’ll Do

  • Build state-of-the-art finite element (FE) models for analysis and optimization of revolutionary battery energy storage systems in collaboration with a small team of multidisciplinary engineers
  • Challenge established traditional CAE methods and processes to improve efficiency and accuracy
  • Use CAE tools to optimize performance for enclosures, closures, joints, and other subsystems; correlate CAE simulations to test results
  • Use correlated simulations and work closely with cross-functional engineering teams to progress the designs; where appropriate, conduct studies by utilizing optimization tools, including DOE techniques on designs, to meet performance requirements with the constraints of conflicting attributes like cost and mass
  • Support world-class engineering teams with design direction based on your analyses
  • Perform analysis for feasibility in manufacturing, assembly, and service processes
  • Quickly learn the tools necessary to execute tasks and modify or create new tools as necessary

What You’ll Bring

  • Bachelors Degree in Mechanical Engineering or a related field, or equivalent experience
  • Minimum of 5+ years of related experience
  • Strong foundation in applied engineering mechanics, computational mechanics, materials science, and finite element theory and applications
  • Expertise in building high-fidelity FE models at component, subsystem, and full-system levels
  • Demonstrated ability to guide structural, thermal, and safety mechanism designs through CAE, from concept to mass production, across industrial products at scale, while root-causing and resolving correlation issues
  • Proficiency in linear and nonlinear static, dynamic, and modal simulations; experience developing multiphysics simulation workflows (e.g., thermal-mechanical, mechanical-electrical)
  • Advanced knowledge in material characterization and modeling, including nonlinear elasticity, viscoelasticity, creep, and strain-rate-dependent plasticity in metals, plastics, polymers, and adhesives
  • Advanced proficiency in CAE tools such as ANSYS, HyperWorks, Beta CAE, LS-DYNA, Abaqus, and COMSOL
  • Basic proficiency in 3D CAD modeling; CATIA V5/V6 experience is a plus
  • Demonstrated ability in iterative and collaborative engineering environments—success in roles requiring high levels of technical communication and interpretation of analytical results to design engineers and technical leadership

Compensation and Benefits

Benefits

  • Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction

  • Family-building, fertility, adoption and surrogacy benefits

  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)

  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

  • Company paid Basic Life, AD&D

  • Short-term and long-term disability insurance (90 day waiting period)

  • Employee Assistance Program

  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

  • Back-up childcare and parenting support resources

  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

  • Weight Loss and Tobacco Cessation Programs

  • Tesla Babies program

  • Commuter benefits

  • Employee discounts and perks program

  • Expected Compensation

  • $91,600 - $316,800/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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