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Skild AI

General-purpose robotic AI brain via API

Robotics Systems Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA$175k - $275kIn-person

About the Job

Requirements

  • Strong fluency across mechanical assemblies, custom wire harnessing, power electronics, sensor integration, and embedded communication protocols.
  • Proficiency with Linux-based robotics tools, system telemetry, bench debugging equipment, and test scripting in Python and C++.
  • Experience taking complex electromechanical or robotic products from zero-to-one prototyping through verification and high-reliability field deployment.
  • Experience deploying machine-learning policies or AI-driven control loops directly onto physical hardware.
  • Hands-on experience with industrial functional safety standards (ISO 13849, IEC 61508) or EMI/EMC compliance for mobility platforms.
  • Background with high-performance BLDC actuators, cycloidal/harmonic drive gearboxes, and high-density battery management systems.

Responsibilities

  • Define system-level specifications, interfaces, power budgets, and sensor suites across diverse robot morphologies, including quadrupeds, humanoids, and custom mobility platforms.
  • Drive hands-on bring-up of new sensors, compute payloads, actuation systems, and custom power distribution architectures on third-party and in-house robotic hardware.
  • Build hardware qualification pipelines, end-of-line functional tests, and diagnostic frameworks to verify system readiness before field deployment.
  • Perform FMEA and run rapid root-cause investigations on hardware failures seen in field operation or aggressive policy stress testing.
  • Partner with ML research engineers, mechanical design teams, and manufacturing technicians to turn software performance goals into hardware requirements and physical test fixtures.
  • Standardize sensor sync protocols, communication topologies (CAN bus, EtherCAT, Ethernet, GMSL), and cabling architectures for hardware survivability in high-impact industrial operations.

Desired Qualifications

  • 5+ years of experience in systems engineering, mechatronics, or robotics hardware development.
  • Strong fluency across mechanical assemblies, custom wire harnessing, power electronics, sensor integration (LiDAR, depth cameras, IMUs, encoders, load cells, force/torque sensors), and embedded communication protocols (CAN, EtherCAT, SPI, UART, GMSL).
  • Proficiency with Linux-based robotics tools (ROS/ROS2, system telemetry), bench debugging equipment (multimeters, oscilloscopes, logic analyzers), and test scripting in Python/C++.
  • Proven experience taking complex electromechanical or robotic products from zero-to-one prototyping through verification and high-reliability field deployment.
  • Experience deploying ML policies or AI-driven control loops directly onto physical hardware.
  • Hands-on experience with industrial functional safety standards (ISO 13849, IEC 61508) or EMI/EMC compliance for mobility platforms.
  • Background with high-performance BLDC actuators, cycloidal/harmonic drive gearboxes, and high-density battery management systems.

About the Company

Skild AI

General-purpose robotic AI brain via API

Skild AI creates a general-purpose artificial intelligence brain for robots. It provides a prefabricated AI model that can be integrated into various general-purpose robots, delivered via an API, to enable high-level decision-making without building custom software from scratch. The product works as a ready-made AI brain embedded in a robotic platform (starting with a mobile manipulator) and exposed through an API so developers and manufacturers can add human-like planning and control capabilities to their robots. This solution differentiates itself by offering a reusable, domain-agnostic AI core for multiple robotics systems rather than bespoke software for each robot, helping to lower development costs and accelerate deployment. Skild AI’s goal is to make robotics development more accessible by supplying the AI brain as a core component to robotics manufacturers and developers who want to build advanced robotic applications quickly and at scale.

Company size
51-200
Company stage
Series C
Total funding
$1.8B
Headquarters
Pittsburgh, PA
Founded
2023

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