2 дня назад
Staff Simulation Architect - Core Simulation Platform (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Simulation Architect - Core Simulation Platform (Robotics) (C++/Python, Cloud): Architecting a high-performance distributed simulation platform for reinforcement-learning training, controls validation, and CI/CD integration testing with an accent on cloud-native pipelines, extensible APIs, and large-scale parallel workloads. Focus on scaling millions of experience hours per day, resolving systemic performance and reliability bottlenecks, and translating robotics, AI, and perception requirements into robust system architecture.
Location: Austin, Texas, United States
Company
develops AI-powered humanoid robots, including Apollo, for manufacturing, logistics, healthcare, home, and other applications.
What you will do
- Own the architecture of the core simulation platform supporting policy training, controls validation, and CI/CD integration testing.
- Design cloud-native pipelines that generate millions of experience hours per day and scale compute-heavy workloads through distributed parallelization.
- Define core abstractions and APIs for adding new physics, sensor, and rendering capabilities.
- Set technical direction for performance, reliability, and scalability while resolving bottlenecks in high-throughput distributed systems.
- Define the platform roadmap, review major design proposals, and reduce iteration time for reinforcement learning, controls, and perception teams.
- Establish architecture standards, mentor senior engineers, and collaborate with Controls, AI Research, and Perception leadership.
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 with cloud platforms such as AWS, GCP, or Azure and distributed computing frameworks such as Ray or Kubernetes.
- Strong knowledge of CI/CD, automated testing, and software quality standards.
- Experience making and communicating architectural trade-offs involving performance, flexibility, latency, and throughput.
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, plus 7+ years of software engineering experience including architecture or technical leadership.
Nice to have
- Knowledge of robotics concepts such as kinematics, dynamics, controls, or system identification.
- Experience with Isaac Lab, MuJoCo, or equivalent robotic simulators.
- Research or production experience with reinforcement learning.
Culture & Benefits
- Direct-hire position within a human-centered robotics company.
- Work on AI-powered humanoid robots and a simulation platform used across robotics, controls, AI research, and perception.
- Regular desk and computer work is required, with occasional lifting of up to 15 pounds.
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