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Tesla Simulation Engineer Jobs (NOW HIRING)

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces ... SPICE simulation tools (LTspice, QSpice, or equivalent) * Python (preferred for scripting ...

... Anduril, Tesla, Uber, and the U.S. Special Forces who are redefining how machines sense and ... Skilled with RF simulation and measurement tools (ADS, HFSS, MATLAB, VNA, spectrum analyzer) and ...

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... Conduct RF simulation, modeling, and system-level tradeoff analysis. * Support architecture ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... Deep knowledge of FEA, risk analysis, solid mechanics, and heat and stress transfer simulation $170 ...

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Tesla Simulation Engineer information

See salary details

$39K

$123.4K

$190.5K

How much do tesla simulation engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for tesla simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is the difference between Tesla Simulation Engineer vs Tesla Test Engineer?

AspectTesla Simulation EngineerTesla Test Engineer
Primary FocusDeveloping and validating vehicle simulations and modelsPerforming physical testing and validation of vehicles and components
Required SkillsProgramming, modeling, simulation tools, automotive systemsTesting procedures, data analysis, hardware interaction
Work EnvironmentSoftware labs, virtual testing environmentsVehicle testing grounds, labs, physical testing facilities
Common CertificationsAutomotive engineering, simulation software certificationsQuality assurance, testing certifications

While both roles support Tesla's vehicle development, Tesla Simulation Engineers focus on virtual models and simulations to predict vehicle behavior, whereas Tesla Test Engineers conduct physical tests to validate vehicle performance. Both roles require technical expertise but differ in their methods and tools used.

What does a Tesla Simulation Engineer do?

A Tesla Simulation Engineer is responsible for developing and running computer models to simulate the performance, safety, and efficiency of Tesla’s products, such as electric vehicles, batteries, and energy systems. They use specialized software to predict how designs will respond to real-world conditions, helping to identify potential issues before physical prototypes are built. This work is crucial for optimizing designs, reducing development costs, and ensuring high-quality, innovative products reach the market quickly.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or electrical engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and engineering companies.

How much does a simulation engineer make at Tesla?

A Tesla simulation engineer typically earns between $80,000 and $130,000 annually, depending on experience, location, and education. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries. Skills in automotive simulation tools and programming are often required for higher-paying positions.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software, aerospace, or electrical engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. In companies like Tesla, senior simulation engineers or those in executive technical positions may reach this compensation level, often supplemented by bonuses and stock options.

How does a Tesla Simulation Engineer typically collaborate with cross-functional teams during a vehicle development project?

As a Tesla Simulation Engineer, you will frequently work alongside design, hardware, and software engineering teams to develop and validate vehicle models and system simulations. Your role involves translating real-world requirements into digital models, running simulations to identify potential issues, and communicating findings to inform design decisions. Effective collaboration and clear communication are essential, as your simulation results often guide design iterations and testing priorities. This environment encourages proactive engagement and continuous learning from experts across the organization.

Is it difficult to get hired at Tesla?

Tesla Simulation Engineers typically face a competitive hiring process that includes technical assessments, interviews, and evaluation of relevant skills such as programming, simulation tools, and engineering knowledge. Strong educational background, relevant experience, and proficiency in software like MATLAB or Python can improve chances of being hired. The process often involves multiple interview rounds and technical evaluations to assess problem-solving abilities and technical expertise.

What are the key skills and qualifications needed to thrive as a Tesla Simulation Engineer, and why are they important?

To thrive as a Tesla Simulation Engineer, you need a solid background in engineering principles, computational modeling, and advanced mathematics, typically supported by a degree in mechanical, electrical, or related engineering fields. Expertise with simulation software such as ANSYS, MATLAB, Simulink, and familiarity with CAD tools or programming languages like Python or C++ is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for success in this role. These skills and qualities enable engineers to develop accurate simulations, collaborate across teams, and drive innovation in Tesla's advanced vehicle and energy technologies.
Infographic showing various Tesla Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 9% Full Time, 33% Part Time, 3% Temporary, 52% Contract, and 3% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.

Mechanical Engineer II / Staff

Range Energy

Mountain View, CA

$106K - $260K/yr

Full-time

Posted 24 days ago


Job description

About Range Energy

Range Energy builds powered trailers that help electrify heavy-duty trucking without requiring fleets to replace their tractors. We solve real-world problems with real hardware.

We move fast, take ownership, and hold a high bar for execution. We value people who are low ego and team-first, calm under pressure, direct and respectful communicators, willing to roll up their sleeves, and focused on solutions, not drama.

We operate with high integrity. We do what we say we'll do, we're transparent about risks and tradeoffs, and we build trust through consistent follow-through.

The work is hands-on. Sometimes messy. Often fast. Always meaningful.

Founded in 2021, Range is led by experienced EV operators from Tesla, Zoox, Honda, and other leading OEMs. We are backed by strong investors and focused on building hardware that fleets will actually use.

If you like building real things, solving hard problems, and working with low drama, high output teammates, you will fit here.

Role Summary

We're looking for a Mechanical Engineer with high drive, low ego, and a genuine desire to own hard problems across our trailer platform. This role sits at the center of our hardware development process - you'll be hands-on with CAE, executing FEA models and validating designs through simulation, while also contributing directly to the physical design and integration of trailer subsystems.

The level is open. Whether you're early in your career and ready to build real skills fast, or an experienced engineer looking to take on significant technical ownership with minimal hand-holding, we want to talk. What matters is strong fundamentals, a bias toward execution, and genuine curiosity about how things work.

You'll partner closely with systems, electrical, and manufacturing teams to ensure designs are robust, manufacturable, and ready for the road.

Key Responsibilities
  • Develop and execute structural FEA models using CATIA & Ansys to validate trailer subsystems - chassis, suspension, enclosures, and structural interfaces

  • Build and maintain load cases, boundary conditions, and simulation workflows that support design decisions across the mechanical team

  • Perform durability, fatigue, and thermal analyses to ensure designs meet real-world operating requirements

  • Lead or contribute to mechanical design efforts - component design, tolerance analysis, and drawing release - commensurate with experience level

  • Collaborate with hardware, systems, and manufacturing teams to integrate analysis into the design cycle and drive design-for-manufacturability

  • Correlate simulation results with physical test data; own root-cause analysis when designs don't perform as expected

  • Document analysis methods, assumptions, and results to support design reviews and build institutional knowledge

What Success Looks Like (first 6-12 months)
  • Own FEA validation for major subsystems - from load case development through design sign-off

  • Build repeatable simulation workflows that improve speed and consistency across the mechanical team

  • Become a trusted resource for analysis-driven design feedback across hardware and systems teams

  • Ship a meaningful contribution to the organization's physical design efforts - not just analysis support

Required Qualifications
  • Bachelor's or Master's in Mechanical Engineering, Automotive Engineering, or related field

  • 2+ years of experience in mechanical design and/or structural analysis (internship and project team experience considered for strong candidates)

  • Hands-on proficiency with FEA tools, preferably Ansys (Mechanical, Workbench)

  • Experience with CAD tools (CATIA, NX, or SolidWorks)

  • Solid understanding of structural mechanics, fatigue, and material behavior

  • Ability to work independently, manage multiple tasks in parallel, and communicate findings clearly

Preferred / Nice-to-Haves
  • Experience in heavy vehicles, commercial trucks, trailers, or off-highway equipment

  • Exposure to durability and fatigue analysis methods (stress-life, strain-life, damage accumulation)

  • Familiarity with thermal analysis or CFD

  • Experience correlating simulation results with physical test data

  • Knowledge of ISO, SAE, or FMVSS standards for commercial vehicles

  • Background in mentoring peers or leading technical efforts on a team

Range Energy's compensation package includes a competitive salary, equity for all full-time roles, and a generous benefits package. The salary range for Mountain View, CA based applicants is between $106,000 - $260,000 annually. The total compensation will be determined based on multiple factors including domain knowledge, experience and location.

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Range Energy participates in E-Verify in the United States. Range Energy will provide the U.S. Social Security Administration (SSA) and, if necessary, the U.S. Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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