Controls Engineer

🏢 ОфисMiddleПолная занятость

Зарплата не указана

Вилки нет, про деньги придётся договариваться с нуля.

Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

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.

Чем предстоит заниматься

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

Наши требования

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

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

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

Physical Intelligence

San Francisco

ГрейдMiddle

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано7 янв.

Все вакансии компании

AI-помощник

под эту вакансию

Войди, чтобы AI оценил твоё соответствие вакансии и написал сопроводительное письмо

Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).