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Remote Game Simulation Programming Jobs in San Jose, CA

Prisms VR

3D Artist (Remote)

San Francisco, CA · Remote

$110K - $140K/yr

Prisms VR is a San Francisco-based team of educators, game developers, and engineers transforming ... Experience in 3D Simulation, such as cloth, water, and/or particles. PORTFOLIO * Applicant must ...

2K

Lead UI Engineer

San Mateo, CA · On-site +1

$133K - $198K/yr

What Will Make You A Great Fit: * 7+ years of professional game programming experience, including ... Remote

INA Solution Inc

STA Engineer

San Jose, CA · Remote

STA Engineer Remote or San Jose, CA * STA setup, convergence, reviews, and sign-off for multi-mode ... Circuit simulations using Hspice/FineSim, Monte Carlo. Education: B.Tech or MTech/MS in Electrical ...

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All JobsGame Simulation Programming JobsRemote Game Simulation Programming JobsRemote Game Simulation Programming Jobs in San Jose, CA

Remote Game Simulation Programming information

See San Jose, CA salary details

$12.9K

$79.2K

$142.4K

How much do remote game simulation programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote game simulation programming in San Jose, CA is $79,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $93,200.00 per year, depending on experience, location, and employer.

What is remote game simulation programming?

Remote game simulation programming involves designing, developing, and testing game simulations from a location outside of a traditional office, often from home. Professionals in this role use programming languages and tools to create systems that mimic real-world or fictional scenarios within video games. They collaborate with other developers and designers online, ensuring the game’s physics, AI, and mechanics work as intended. This job requires strong coding skills, problem-solving abilities, and knowledge of game development frameworks.

What are the key skills and qualifications needed to thrive as a remote game simulation programmer, and why are they important?

To thrive as a Remote Game Simulation Programmer, you need strong proficiency in programming languages such as C++ or Python, a solid understanding of game physics and computer graphics, and often a degree in computer science or a related field. Familiarity with game engines like Unity or Unreal Engine, version control systems (e.g., Git), and simulation frameworks is typically required. Excellent problem-solving abilities, self-motivation, and effective virtual communication skills set top performers apart in remote environments. These skills and qualities are crucial for developing realistic, efficient simulations and collaborating seamlessly with distributed game development teams.

What are some common challenges faced by remote game simulation programmers, and how can they be addressed?

Remote game simulation programmers often encounter challenges such as coordinating across time zones, maintaining effective communication with team members, and managing version control for complex simulation projects. To address these issues, it's important to use robust collaboration tools like Slack, Jira, and Git, and to establish clear documentation and code review processes. Regular virtual meetings and sync-ups help ensure alignment, while fostering a culture of open communication can minimize misunderstandings and keep projects on track.

What is the difference between Remote Game Simulation Programming vs Remote Game Development?

AspectRemote Game Simulation ProgrammingRemote Game Development
Primary FocusCreating realistic simulations and physics models for gamesDesigning, coding, and building complete games
Required SkillsProgramming, physics, mathematics, simulation techniquesProgramming, art, storytelling, game design
Work EnvironmentTypically specialized teams within gaming or simulation companiesBroader roles including design, programming, and art teams
Industry UsageUsed in training, research, and advanced gaming simulationsUsed in entertainment, mobile, console, and PC game markets

Remote Game Simulation Programming focuses on developing realistic physics and simulation models, often for training or research purposes. In contrast, Remote Game Development involves creating complete games, including design, art, and programming. Both roles require strong programming skills, but Simulation Programming emphasizes physics and mathematical modeling, while Game Development covers a broader range of skills related to game creation.

What are the most commonly searched types of Game Simulation Programming jobs in San Jose, CA?

The most popular types of Game Simulation Programming jobs in San Jose, CA are:

What are popular job titles related to Remote Game Simulation Programming jobs in San Jose, CA?

For Remote Game Simulation Programming jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Game Simulation Programming jobs in San Jose, CA look for?

The top searched job categories for Remote Game Simulation Programming jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Remote Game Simulation Programming jobs?

Cities near San Jose, CA with the most Remote Game Simulation Programming job openings:

Remote Game Simulation Programming jobs near you
Infographic showing various Remote Game Simulation Programming job openings in San Jose, CA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $79,228 per year, or $38.1 per hour.

RL Environment Software Engineer

talentpluto

San Francisco, CA • On-site, Remote

$220K - $400K/yr

Full-time

Re-posted 17 days ago

Job description

Location: Remote (United States)
Work Model: Remote
Industry: Applied AI / AI research data
Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)
About the Company
Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.
The Opportunity
As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.
You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.
Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

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