Senior Software Engineer, Simulation Systems

• Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
• Develop systems for synthetic data generation and automated scenario creation
• Collaborate with ML engineers and researchers to integrate learned models into simulation environments
• Explore emerging approaches in world modeling, agent simulation, and Physical AI

• Write production-quality C++ and Python code
• Participate in architecture and technical design discussions
• Build reliable, maintainable, and well-tested systems
• Contribute to code reviews and engineering best practices
• Create clear technical documentation for systems and tools

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• 3+ years of professional software development experience
• Strong expertise in modern C++ (C++17 or newer preferred)
• Experience designing and developing production software systems
• Strong understanding of:
• Multithreading and concurrency
• Memory management
• Performance optimization
• Software architecture and system design
• Experience working with simulation, robotics, gaming, or autonomous systems

• Experience with simulation platforms such as:
• CARLA
• Isaac Sim
• Unreal Engine
• Familiarity with reinforcement learning concepts and workflows
• Experience with agent-based simulation or closed-loop simulation systems
• Experience building synthetic data generation pipelines
• Experience with ROS or ROS2
• Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
• Familiarity with machine learning infrastructure and large-scale data processing systems

Nice to Have

• Experience in autonomous driving or robotics applications
• Experience with multi-agent simulation systems
• Familiarity with world models, generative simulation, or Physical AI technologies
• Experience with sensor simulation, including camera, lidar, or radar
• Experience with physics engines and real-time systems
• Experience with CUDA, OpenGL, Vulkan, or graphics programming

• Strong software engineering fundamentals
• Systems-thinking mindset and attention to detail
• Curiosity about simulation, AI, robotics, and autonomous systems
• Ability to work across simulation, infrastructure, and machine learning domains
• Comfortable working in a fast-paced environment with evolving technical challenges
• Passion for building the next generation of intelligent simulation platforms