Physical IntelligenceControls Engineer
San Francisco · 全职 · 工程与基础设施
需要对标的能力
AI 产品设计 · 产品化
岗位职责与要求
As a Controls Engineer, you will design and implement the algorithms that make PI’s robots behave predictably, smoothly, and safely under varied and uncertain conditions.
The Team
The Controls team builds and tunes the core feedback and model-based algorithms, real-time loops, simulations, and actuator/sensor subsystems that make PI’s robots stable and reliable. They work closely with research, hardware, and operations to debug complex system behaviors and ensure our learning-based systems operate under strict real-time constraints in unpredictable environments.
In This Role You Will
- Design & implement control algorithms: PID, LQR, MPC, inverse dynamics, and feedforward controllers.
- Build & validate models: Create and refine physical and inverse dynamics models for simulation and control design.
- Develop real-time loops: Write and optimize runtime control loops, including neural-network-driven control.
- Own robotic bring-up: Integrate and tune arms, mobile bases, teleop systems, and full-body platforms.
- Debug complex system behaviors: Diagnose and resolve hardware/software/runtime issues using first-principles reasoning.
- Build sensor/actuator subsystems: Work with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).
- Partner cross-functionally: Work with researchers, platform engineers, and operators to ensure stable, predictable real-world behavior.
- Support R&D: Prototype configurations, collect structured datasets, and iterate directly with researchers.
What We Hope You’ll Bring
- Deep understanding of model-based control algorithms and inverse dynamics
- Ability to validate control approaches in simulation and translate them to real hardware
- Proficiency in Python and C++, including firmware-adjacent development
- Skill in writing and tuning real-time control loops
- Hands-on capability to debug electromechanical systems end-to-end
- Familiarity with embedded communication protocols (CAN, SPI, I2C, Ethernet)
- Clear communication with researchers, hardware teams, and operators
- A structured, collaborative approach to solving complex system issues
Bonus Points If You Have
- Background in manipulation or mobile robotic platforms
- Exposure to robot learning or integrating learned policies into control stacks
- Ability to design or refine custom actuator or sensor hardware
查看中文参考译文
作为 Controls Engineer，你将设计并实现算法，使 PI 的机器人在多变且不确定的条件下实现可预测、平稳且安全的行为。
The Team
Controls 团队构建并调优核心的 feedback 和 model-based 算法、real-time loops、simulations 以及 actuator/sensor subsystems，确保 PI 的机器人稳定可靠。他们与 research、hardware 和 operations 紧密合作，调试复杂的系统行为，并确保我们的 learning-based systems 在不可预测的环境中满足严格的 real-time constraints。
In This Role You Will
- 设计与实现 control algorithms：PID、LQR、MPC、inverse dynamics 和 feedforward controllers。
- 构建与验证模型：创建并优化 physical 和 inverse dynamics models，用于 simulation 和 control design。
- 开发 real-time loops：编写并优化 runtime control loops，包括 neural-network-driven control。
- 负责 robotic bring-up：集成并调优 arms、mobile bases、teleop systems 和 full-body platforms。
- 调试复杂系统行为：运用 first-principles reasoning 诊断并解决 hardware/software/runtime 问题。
- 构建 sensor/actuator subsystems：与 embedded systems、drivers 和 communication protocols（CAN、SPI、I2C、Ethernet）打交道。
- 跨职能协作：与 researchers、platform engineers 和 operators 合作，确保稳定、可预测的现实世界行为。
- 支持 R&D：搭建 prototype configurations、收集 structured datasets，并与 researchers 直接迭代。
What We Hope You'll Bring
- 对 model-based control algorithms 和 inverse dynamics 的深入理解
- 在 simulation 中验证 control approaches 并将其迁移到 real hardware 的能力
- 精通 Python 和 C++，包括 firmware-adjacent development
- 编写和调优 real-time control loops 的技能
- 端到端调试 electromechanical systems 的动手能力
- 熟悉 embedded communication protocols（CAN、SPI、I2C、Ethernet）
- 与 researchers、hardware teams 和 operators 的清晰沟通能力
- 解决复杂系统问题的结构化、协作式方法
Bonus Points If You Have
- Manipulation 或 mobile robotic platforms 的背景
- Robot learning 或将 learned policies 集成到 control stacks 的经验
- 设计或优化 custom actuator 或 sensor hardware 的能力
译文仅供辅助阅读，具体要求以原始招聘来源为准。