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Remote Game Simulation Programming Jobs in Ohio (NOW HIRING)

Statheros

Strong programming skills in Python; familiarity with Rust or other languages is a plus ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.

Copeland

Senior Advanced Manufacturing Engineer

Sidney, OH · On-site +1

$84K - $115K/yr

Experience with CAM programming and machine simulation software (Siemens CAM, Vericut, Etc ... This role is based fully onsite, and not eligible for hybrid or remote work opportunities. Why Work ...

UserWise

$197K - $207K/yr

... gaming! This is a full-time, remote position for a seasoned leader ready to take the helm of our ... Work closely with Engineering, Art, and UA teams to ensure product goals are aligned with technical ...

AKKA Technologies

... simulations, data security, artificial intelligence, and data analytics ... The combination of IT and engineering skills leads to a unique offering of end-to-end solutions ...

Matrix Technologies

Senior Process Engineer

Maumee, OH · On-site +1

... remote work depending on the candidate. We are seeking a highly skilled and motivated Senior ... Experience with process simulation tools (Aspen Plus, HYSYS, ProMax, etc.) * Familiarity with OSHA ...

Esprow

... engineering team. You will work with exchanges, banks, and brokers to help them address complex ... simulation of financial trading solutions. With a presence in New York, London, Singapore, and ...

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Remote Game Simulation Programming information

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 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 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 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 are the most commonly searched types of Game Simulation Programming jobs in Ohio? The most popular types of Game Simulation Programming jobs in Ohio are:
What are popular job titles related to Remote Game Simulation Programming jobs in Ohio? For Remote Game Simulation Programming jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Game Simulation Programming jobs in Ohio look for? The top searched job categories for Remote Game Simulation Programming jobs in Ohio are:
What cities in Ohio are hiring for Remote Game Simulation Programming jobs? Cities in Ohio with the most Remote Game Simulation Programming job openings:
Remote Game Simulation Programming jobs near you

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 21 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.

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