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Entry Level Game Simulation Programming Jobs (NOW HIRING)

Perform preventative maintenance on all aspects of the games, simulators and attractions. * Possess ... We are DRIVEN to develop, train and promote from our entry level positions! * We offer support for ...

Perform preventative maintenance on all aspects of the games, simulators and attractions. * Possess ... We are DRIVEN to develop, train and promote from our entry level positions! * We offer support for ...

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Entry Level Game Simulation Programming information

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$11K

$67.6K

$121.5K

How much do entry level game simulation programming jobs pay per year?

As of Jun 4, 2026, the average yearly pay for entry level game simulation programming in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Game Simulation Programming vs Entry Level Software Developer?

AspectEntry Level Game Simulation ProgrammingEntry Level Software Developer
Required CredentialsBachelor's in Computer Science, Game Design, or related field; basic programming skillsBachelor's in Computer Science or related field; foundational programming skills
Work EnvironmentGame studios, simulation companies, entertainment industryTech companies, software firms, various industries
Industry UsagePrimarily in gaming and simulation sectors

Entry Level Game Simulation Programming focuses on developing interactive simulations and game mechanics, often within entertainment or training sectors. Entry Level Software Developer has a broader scope, working on various software applications across industries. While both roles require programming skills and a related degree, game simulation programmers specialize in game engines and graphics, whereas software developers may work on diverse software solutions.

More about Entry Level Game Simulation Programming jobs
What cities are hiring for Entry Level Game Simulation Programming jobs? Cities with the most Entry Level Game Simulation Programming job openings:
What are the most commonly searched types of Game Simulation Programming jobs? The most popular types of Game Simulation Programming jobs are:
What states have the most Entry Level Game Simulation Programming jobs? States with the most job openings for Entry Level Game Simulation Programming jobs include:
What job categories do people searching Entry Level Game Simulation Programming jobs look for? The top searched job categories for Entry Level Game Simulation Programming jobs are:
Infographic showing various Entry Level Game Simulation Programming job openings in the United States as of May 2026, with employment types broken down into 10% Locum Tenens, 75% Full Time, 10% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.
Machine Learning Infrastructure Simulation Engineer, Optimus

Machine Learning Infrastructure Simulation Engineer, Optimus

Tesla

Palo Alto, CA • On-site

$140K - $390K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect The Optimus Simulation team is at the forefront of advancing humanoid robotics by building a high-fidelity virtual world where Optimus can safely learn, adapt, and improve. Our mission is to recreate the complexities of the real world in simulation, enabling scalable testing, rapid iteration, and accelerated development of the Optimus autonomy stack. We design and deploy cutting-edge simulation systems that blend accurate physics modeling, photorealistic rendering, and intelligent virtual agents, creating environments that challenge Optimus in the same way the physical world would. These simulations allow us to rigorously evaluate behavior, uncover edge cases, and drive continuous improvements in autonomy and decision-making.
As a member of this team, you will play a pivotal role in shaping the future of humanoid robotics. Your contributions will directly accelerate Optimus' ability to operate effectively in real-world environments by closing the gap between simulation and reality. We are looking for passionate engineers with expertise in distributed systems, ML infrastructure, and graphics/game development who are excited to build scalable RL infrastructure for training robots, pushing the boundaries of large-scale simulation, efficient training pipelines, and high-performance virtual environments.
What You'll Do
  • Design, implement, and optimize scalable Simulation and RL infrastructure for training humanoid robots in simulated environments, leveraging distributed systems for parallel processing and high-throughput simulations
  • Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations
  • Drive innovation in sim-to-real strategies using simulation technologies and distributed computing to ensure Optimus performs reliably across both virtual and real-world environments
  • Deliver high-quality, production-ready code in a dynamic and fast-paced environment
What You'll Bring
  • Hands-on experience building and scaling distributed systems for large-scale computations
  • Strong background in ML infrastructure, including designing training pipelines, data orchestration, and deployment of RL models at scale
  • Proficiency in GPU optimizations for either inference or rendering
  • Proficiency in Python, with familairty in frameworks like PyTorch, TensorFlow, or RL libraries (e.g., Stable Baselines, RLlib), and a proven ability to write clean, scalable, and efficient code
  • Ability to research, implement, and adapt cutting-edge techniques from academic and industry sources into practical, production-ready solutions for scalable RL in simulation

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 $140,000 - $390,000/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.


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