2 hours ago
Responsibilities
- Own the architecture of the core simulation platform for policy training, controls validation, and integration testing.
- Design and drive cloud-native pipelines that parallelize and scale compute-heavy workloads to generate millions of experience hours per day.
- Define core platform abstractions and APIs supporting extensible physics, sensor, and rendering capabilities.
- Set technical direction for performance, reliability, and scalability and resolve systemic bottlenecks.
- Define the platform roadmap and review major design proposals to improve iteration time for RL, controls, and perception teams.
- Partner with Controls, AI Research, and Perception leadership to translate domain needs into platform architecture.
- Establish architectural standards and mentor senior engineers on system design.
Requirements
- Excellent C++ and/or Python programming skills applied to large-scale system architecture.
- Deep experience architecting distributed, high-throughput, or real-time software systems.
- Experience architecting workloads on AWS, GCP, or Azure using distributed computing frameworks such as Ray or Kubernetes.
- Familiarity with software development best practices, automated testing, and code quality standards.
- Demonstrated ability to make and communicate architectural trade-offs involving performance, flexibility, latency, and throughput.
- Ability to ramp up in new technical domains and collaborate with physics, robotics, and ML subject-matter experts.
- At least one of: understanding of robotics concepts such as kinematics, dynamics, controls, or system identification; experience with Isaac Lab, MuJoCo, or an equivalent robotic simulator; or research or production experience with Reinforcement Learning.
- Bachelor's, master's, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 7 years of software engineering experience, including significant experience in software architecture or technical leadership on complex, large-scale systems.
Benefits
- Direct-hire employment.
- Equal employment opportunity workplace.
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About Apptronik
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our humanoid robot, Apollo, is designed to collaborate thoughtfully with humans—initially in critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. Apollo is the culmination of nearly a decade of development, drawing on Apptronik’s extensive work on 15 previous robots, including NASA’s Valkyrie robot. Apptronik started out of the Human Centered Robotics Lab at the University of Texas at Austin and has more than 350 employees. Learn more at apptronik.com