May 9, 2026
Simulation & Game Developer (Autonomous Systems)
Senior • Remote
Washington, DC
ABOUT THE JOB
Company Intro:
TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup backed by the best DefenseTech venture capitalists.
Job Title: Senior / Principal, Simulation & Game Developer (Autonomous Systems)
Reporting to: Applied Robotics Engineering Manager
Location: Geographically flexible (remote-friendly)
Description
TurbineOne is looking for a senior/principal game developer to build an interactive simulation environment that brings our autonomous vehicle software to life. This role will focus on developing a "game-like" platform where both technical and non-technical users can design, run, and evaluate real-world scenarios involving aerial drones and autonomous maritime systems.
You will own the development of a simulation product that integrates our autonomy stack as the "agents" inside rich, physics-based environments. Leveraging platforms like Unreal Engine (AirSim) or Unity, you will create intuitive tools and immersive environments that enable rapid scenario testing, validation, and experimentation.
This is a highly cross-functional role at the intersection of game development, simulation, and robotics.
Primary Responsibilities
- Own the design and development of a simulation platform that enables users to create and test real-world autonomous vehicle scenarios
- Build immersive, physics-based environments using Unreal Engine (preferred, with AirSim) or Unity
- Integrate TurbineOne's autonomy software into simulation environments as controllable agents
- Develop intuitive tooling and UX that allows non-technical users to configure scenarios, define conditions, and evaluate outcomes
- Create systems for scenario scripting, playback, telemetry visualization, and analysis
- Collaborate closely with robotics engineers to ensure simulation fidelity and alignment with real-world vehicle behavior
- Balance realism with usability—build simulations that are both technically meaningful and easy to interact with
- Be a product owner—define and drive the vision for simulation capabilities; there are no tickets to crunch here
- Dream big—prototype, experiment, and iterate quickly on new ideas for how simulation can accelerate autonomy development and testing
Desired Experience
- 5+ years of experience in game development, simulation engineering, or interactive 3D application development
- Strong experience with Unreal Engine (preferred) or Unity, including physics systems and environment creation
- Experience building tools or systems for user-generated content (e.g., level editors, scenario builders, modding tools)
- Familiarity with simulation frameworks such as AirSim, Gazebo, or similar is a strong plus
- Experience integrating external systems or APIs into game engines (e.g., networking, real-time data, control systems)
- Understanding of enemy AI, complex scripting behaviors or other NPC mecahnics
- Strong sense of UX for interactive tools—especially for non-technical users
- Experience working through ambiguity and shaping early-stage products
- Bonus: familiarity with robotics concepts (ROS, MAVLink, etc.) or prior work in simulation for autonomy
Startup Culture Expectations
- We're a small, fully remote team—everything is our responsibility
- Our team thrives on autonomy, trust, and strong communication
- You'll be expected to take full ownership of your domain—from idea to implementation
- Comfort with constant change, fast iteration, and learning by doing is essential
- We value builders who experiment, share failures openly, and push toward impactful solutions
- Most startups fail—no one is coming to save us, and that's what makes this fun
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The Role As a Principal Platform Engineer at Manufacturo, you'll work at both levels: deep in the hardest problems on the platform, and wide enough to set the standard for others to follow. You'll define the architecture, raise the quality bar, and make sure the right technical decisions are made, not by directing from a distance, but by being the person in the room whose opinion carries weight because the work backs it up. This role requires both deep hands-on technical contribution and the ability to multiply the impact of others. We need someone who can take on the hardest problems while also helping senior developers and leads make better technical decisions through teaching, feedback, and clear standards. You will report directly to the Director of Software Engineering and act as their technical partner across the organization. This is a individual contributor role with no people management responsibilities. You should be comfortable working in a high-change environment where priorities evolve, new information appears quickly, and strong technical judgment is needed to keep teams moving in the right direction without losing quality. What you'll do Own the architecture and technical direction of the platform’s core Tackle the hardest engineering problems, including performance bottlenecks, complex integrations, and architectural evolution Define and evolve backend engineering standards across all teams Lead design reviews and author RFCs/ADRs for high-impact technical decisions Partner with the Director of Software Engineering, Product, and engineering leadership to assess technical feasibility early, shape direction, and resolve tradeoffs before they become delivery problems Mentor senior engineers code reviews, architecture workshops, pair programming, technical discussions, and tech talks that improve how the organization designs, builds, and operates software Raise the quality bar across the backend through example, teaching, and clear standards Required skills & experience 8+ years of backend engineering experience, with deep, proven mastery of C# and modern .NET A demonstrated track record operating successfully in a Staff Engineer, Principal Engineer, or Senior Tech Lead role Proven experience architecting, building, and owning large, complex systems end-to-end, including both monolithic and distributed architectures Expert-level SQL and database design skills, including diagnosing slow queries in production and designing schemas that hold up under real load Deep practical expertise with Entity Framework, including performance tradeoffs, query behavior, and data access strategy Strong architectural judgment and experience applying concepts such as DDD and clean architecture pragmatically A strong quality mindset, including test automation strategy and clear standards for what “done” means Strong written and verbal communication skills in English — you are comfortable explaining technical tradeoffs, mentoring other engineers, leading code reviews, and facilitating architecture discussions Enthusiasm for and hands-on proficiency with AI coding tools such as Cursor and Claude Code as productivity multipliers Nice to have You'll stand out if you bring any of the following: Hands-on experience with cloud infrastructure at scale, with Azure being a strong advantage Experience with Angular or a modern frontend framework - enough to make informed architectural decisions across the full stack Familiarity with Azure DevOps and CI/CD pipeline design at an organizational level, not just usage Experience designing for compliance-driven deployment constraints - data sovereignty, tenant isolation, and schema management across numbers of independent databases Background or genuine curiosity about Manufacturing Execution Systems (MES) -understanding the domain makes the hardest problems tractable Our tech stack Backend: .NET, C#, Entity Framework, SQL Server / Azure SQL Messaging: Azure Service Bus, MassTransit Observability: OpenTelemetry, Grafana stack Frontend: Angular, our own Angular Component Library Cloud: Azure CI/CD: Azure DevOps AI tooling: Cursor, Claude Code, and other modern AI-assisted development tools What you’ll get in return Real authority, real access. Direct collaboration with the CPO and Director of Development. Your decisions will be heard, debated, and acted on - with organizational backing to make standards stick. Customers building the next century. Rockets, fusion reactors, hypersonic systems. The problems you solve here have consequences that matter. People who will match you. You'll work alongside engineers and leaders with backgrounds from SpaceX and other high-bar organizations. Expect to be challenged, not just followed. AI at the foundation, not the edge. You'll be building the architecture that makes AI native to the platform - not retrofitting it later. Hybrid working with three days in our Kraków office, comprehensive healthcare including life insurance, and a Multisport Card. This role is for someone serious about their craft. If that is you, we would like to talk.
Technology

Motional
Senior Data Scientist, Systems Performance
Senior
Hybrid
Las Vegas, NV
🏢 Summary: Senior Data Scientist role focused on developing and validating evaluation frameworks, metrics, and statistical methodologies for autonomous vehicle performance and safety readiness. The position involves analyzing large-scale simulation and on-road data, improving testing coverage, and applying ML and statistical techniques to strengthen evaluation systems for driverless robotaxis. The role collaborates closely with engineering, safety, and simulation teams to support launch readiness and scalable autonomous system validation. 🗂️ Requirements: 5+ years of industry experience working with large datasets, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Computer Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with data analysis libraries, Experience applying statistical and machine learning methods, Experience with statistical analysis and hypothesis testing, Experience with causal analysis, Ability to independently drive projects from definition to results, Strong communication skills for technical findings presentation 📃 Skills: Python, SQL, AWS, Transformers, MachineLearning, DeepLearning, Statistics, Simulation, SOTIF, ISO21448, ISO26262, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets for fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The team is seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence evaluation signals used to validate autonomy stack improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. What You'll Be Doing: - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to support safety cases and launch readiness decisions. - Monitor evaluation metrics and incoming performance data for drift, inconsistencies, and degradation. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop statistical analysis methods for AV performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Use fleet and evaluation data to identify edge cases and coverage gaps. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions. - Establish self-service tooling for developers to evaluate the impact of changes. - Develop metrics, interpret trends, and investigate anomalies in simulation and on-road data. - Collaborate with developers to drive actions based on evaluation results. - Promote data-aware decision making and best practices. - Mentor engineers and foster collaboration. - Introduce ML methods for scalable performance evaluation. What You Bring: - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in a quantitative field; Master’s or PhD preferred. - Strong problem-solving skills. - Strong Python and SQL skills. - Experience using data analysis libraries with large datasets. - Experience applying advanced statistical and ML methods. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points: - Experience with adversarial scenario generation and closed-loop simulation environments. - Experience in autonomous driving or robotics. - Familiarity with data pipelines and distributed compute such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 or ISO 21448. Benefits: - Hybrid schedule with optional fully remote work. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may apply. - Salary range: $149,000—$198,500 USD.
Technology

Motional
Senior Data Scientist, Systems Performance
Senior
Hybrid
Pittsburgh, PA
🏢 Summary: Senior Data Scientist role focused on developing and improving evaluation frameworks, statistical methodologies, and performance metrics for autonomous vehicle systems. The position involves analyzing large-scale simulation and on-road data, validating safety and launch readiness, and collaborating with engineering teams to strengthen autonomous system evaluation. Candidates will work with ML and statistical methods to improve testing coverage, identify edge cases, and support scalable performance validation for robotaxi deployment. 🗂️ Requirements: 5+ years of industry experience with large-scale data analysis, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with statistical analysis and hypothesis testing, Experience applying machine learning methods to large datasets, Ability to develop rigorous data-driven analyses, Experience working independently and driving projects end-to-end, Strong communication skills for technical stakeholder collaboration 📃 Skills: Python, SQL, AWS, ML, Statistics, Transformers, Simulation, Robotics, SOTIF, ISO26262, ISO21448, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. The team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. The role works closely with stakeholders in autonomy, infrastructure, and operations to build the safety case for the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The Senior Data Scientist will lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. What You'll Be Doing - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions. - Monitor the reliability of evaluation metrics and incoming performance data over time, including drift detection and inconsistencies. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop new statistical analysis methods to analyze autonomous vehicle performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Identify edge cases and coverage gaps using fleet and evaluation data. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions and communicate findings. - Establish self-service evaluation tools for developers. - Develop new metrics, investigate anomalies, and collaborate with developers on performance improvements. - Promote data-aware decision making and best practices. - Mentor engineers and support a collaborative work environment. - Introduce ML methods for performance evaluation where beneficial. What You Bring - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. - Strong problem-solving skills and logical thinking. - Strong Python and SQL skills with experience using data analysis libraries. - Experience applying advanced statistical and ML methods to large datasets. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects from definition to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points - Experience with adversarial scenario generation and closed-loop simulation. - Experience in autonomous driving or robotics. - Familiarity with distributed compute and data pipelines such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 and ISO 21448. Benefits - Hybrid or fully remote work options. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may be available. - Salary range: $149,000–$198,500 USD.