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Dexmate

AI-powered dexterous manipulation robotics platform

Senior Electrical Engineer - Robot Controller Hardware

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of electrical hardware design experience with embedded processor systems, high-speed digital electronics, or similarly complex products, including at least one board taken through bring-up and production release.
  • Hands-on design of at least one custom NVIDIA Jetson carrier board, taken through board bring-up.
  • Demonstrated ownership of processor-based motherboards, system-on-module carrier boards, or comparable complex multilayer PCBAs, from schematic design through validation.
  • Experience designing hardware interfaces between processors, compute modules, MCUs, and peripherals, including power, reset, clocking, and boot dependencies.
  • Strong schematic design skills and proficiency with Altium, Cadence, or equivalent tools, with experience defining and reviewing high-speed PCB layouts.
  • Practical experience designing and debugging multiple high-speed interfaces, such as PCIe, Ethernet, USB, MIPI, or camera SerDes.
  • Strong understanding of signal and power integrity, including transmission lines, impedance discontinuities, return paths, decoupling, and power distribution networks.
  • Experience designing processor or compute-module power supplies, including regulator selection, load transients, sequencing, and protection.
  • Strong bench debugging skills using oscilloscopes, appropriate probing techniques, logic or protocol analyzers, and programmable power supplies.
  • Experience working with embedded software engineers to diagnose hardware/software interface issues and verify fixes on physical hardware.

Responsibilities

  • Define controller hardware requirements with software and systems teams, including processing needs, sensor connectivity, interface bandwidth, synchronization, power budgets, and environmental constraints.
  • Architect multi-processor controller platforms integrating Jetson modules, x86 hosts, and MCUs. Define processing boundaries, inter-processor communication, peripheral connections, and dependencies across power, clock, reset, and boot domains.
  • Design custom carrier boards for NVIDIA Jetson modules, including AGX Thor, following platform design requirements and validating implementation on physical hardware.
  • Evaluate compute platform options, including NVIDIA Jetson, Qualcomm robotics platforms, and x86 processors, against robot performance, power, thermal, packaging, and lifecycle requirements.
  • Own schematic design, component selection, and PCB development for controller motherboards, carrier boards, and associated interface electronics. Execute layout or provide detailed technical direction and review.
  • Design and validate high-speed interfaces such as PCIe, multi-gigabit Ethernet, USB, MIPI CSI-2, and camera SerDes links. Define stackups, impedance targets, routing constraints, grounding, and return paths.
  • Design onboard networking and hardware time synchronization between processors, cameras, and sensors, working with software engineers to verify system behavior.
  • Develop board-level power architectures, including DC-DC conversion, sequencing, transient response, protection, monitoring, and fault reporting.
  • Analyze signal and power integrity risks, correlate assumptions with bench measurements, and resolve interface instability and power-related failures.
  • Lead board bring-up with embedded software engineers, debugging boot, reset, clocking, processor communication, peripheral enumeration, and sensor connectivity.
  • Define and execute validation plans covering interface performance, sustained workloads, power cycling, temperature, supply variation, and fault recovery.
  • Partner with mechanical and thermal engineers on connectors, cables, cooling, and packaging; support EMI/EMC testing and corrective actions.
  • Work with manufacturing and test teams on DFM/DFT reviews, prototype builds, production test coverage, component substitutions, and production release.

Desired Qualifications

  • Experience with NVIDIA Jetson AGX Thor or AGX Orin, including carrier-board implementation, platform bring-up, and power and thermal integration.
  • Experience integrating multiple processor families within one controller platform, such as ARM with x86, or application processors with real-time MCUs.
  • Experience with Qualcomm robotics platforms or chip-down designs using Qualcomm SoCs, PMICs, and LPDDR.
  • Experience designing controller hardware for robots, autonomous vehicles, drones, or other systems constrained by power, space, and operating environment.
  • Experience with discrete processor and DDR memory integration, including layout constraints and timing validation.
  • Experience integrating multiple cameras and sensors over GMSL, FPD-Link, or multi-gigabit Ethernet.
  • Experience implementing hardware time synchronization using IEEE 1588/PTP or gPTP.
  • Experience with HDI PCB design, dense BGA fanout, and signal or power integrity simulation using tools such as HyperLynx, Sigrity, or Ansys.
  • Familiarity with embedded Linux, JetPack, pinmux and device tree configuration, boot diagnostics, and scripting for hardware validation.
  • Experience with EMC pre-compliance testing, environmental qualification, production test development, and manufacturing ramp.

About the Company

Dexmate

AI-powered dexterous manipulation robotics platform

Dexmate develops AI-powered robots with dexterous manipulation for industrial and research use. Its flagship Vega is a dual-armed, mobile humanoid with an omnidirectional base and a foldable torso, reaching up to 7'2" for transport and operations. Vega runs on Nvidia AGX Orin for edge computing, has high-payload arms totaling 15 kg, and uses dexterous hands controllable via a Python API; it combines AI-driven manipulation with remote human teleoperation through its Robot Copilot system and aims for a future Robot Autopilot. The company differentiates itself with embodied AI and precise dexterity on a mobile platform, serving warehousing, logistics, manufacturing, and healthcare pilots, and pursuing easy integration with existing workflows. Dexmate’s goal is to reduce labor shortages and boost efficiency by evolving from copilot to fully autonomous autopilot in real-world settings, supported by partnerships like LG CNS.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Santa Clara, CA
Founded
2024

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