Staff Simulation Architect - Core Simulation Platform

• Own the architecture of the core simulation platform — high-performance distributed systems that serve as the foundation for policy training, controls validation, and CI/CD integration testing.
• Design and drive the build-out of cloud-native pipelines capable of generating millions of experience hours per day, architecting how compute-heavy workloads parallelize and scale for rapid iteration.
• Define the platform's core abstractions and APIs, ensuring the system stays extensible as new physics, sensor, and rendering capabilities are added by domain specialists.
• Set technical direction on performance, reliability, and scalability, identifying and resolving systemic bottlenecks in a large, high-throughput distributed system.
• Define the platform roadmap and review major design proposals, ensuring improvements visibly reduce iteration time for RL, controls, and perception teams.
• Partner with Controls, AI Research, and Perception leadership to translate their evolving needs into a coherent, extensible architecture as the platform grows.
• Establish architectural standards and mentor senior engineers on system design, bringing outside experience in distributed systems and software architecture into a robotics context.

• Excellent C++ and/or Python programming skills, with a strong track record of applying them to large-scale system architecture
• Deep experience architecting distributed, high-throughput, or real-time software systems — this experience can come from robotics, gaming, simulation, high-frequency trading, large-scale backend infrastructure, or similar domains
• Proven experience architecting workloads on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes)
• Deep familiarity with software development best practices: CI/CD, automated testing, and code quality standards
• Track record of making and defending architectural trade-offs (performance vs. flexibility, latency vs. throughput) and communicating them clearly to engineers and leadership
• Comfort ramping up quickly in a new technical domain, and partnering closely with subject-matter experts in physics, robotics, and ML to translate their needs into system design

At least one of:

• Understanding of robotics concepts: kinematics, dynamics, controls, system identification
• Experience with modern robotic simulators (Isaac Lab, MuJoCo, or equivalent)
• Understanding of Reinforcement Learning, with research or production experience

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field (or equivalent experience)
• 7+ years of software engineering experience, including significant time in a software architecture or technical leadership role on complex, large-scale systems

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

This is a direct hire.

Please, no outside Agency solicitations.

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