Controls Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Controls Engineer San Francisco, California, United States 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

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