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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Firmware Engineer - Dexterous Hand Systems, Human

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of embedded firmware development in real-time systems, with RTOS experience.
  • Experience implementing and tuning field-oriented control on real BLDC actuators, including current-loop bandwidth, back-EMF compensation, and commutation timing.
  • Experience developing Linux Kernel drivers, authoring device trees, implementing custom drivers, and bringing up low-level peripherals such as SPI, I²C, and CAN.
  • Hands-on experience with DDS middleware in embedded or edge environments, such as FastDDS or Micro-XRCE-DDS, or equivalent experience in resource-constrained environments.
  • Practical experience implementing deterministic communication stacks such as TSN (IEEE 802.1AS/Qbv), CAN bus protocol stacks, or equivalent stacks in latency-critical embedded systems.
  • Functional safety experience with ISO 13849 or IEC 61508, particularly watchdog architectures and safe-state design for actuated systems.

Responsibilities

  • Develop and maintain field-oriented control firmware for BLDC actuators across finger and palm drive stages, tuning and debugging on real hardware.
  • Architect and own the hardware abstraction layer on RTOS and Linux Kernel targets, including Qualcomm IQ-series system-on-module bring-up.
  • Define and implement communication stacks for ROS 2 integration using FastDDS and Micro-XRCE-DDS, deterministic Ethernet using TSN (IEEE 802.1AS/Qbv), and local device buses using CAN, SPI, and I²C.
  • Implement multi-level watchdog and safety monitoring architecture targeting ASIL-B compliance.
  • Collaborate with the Electronics team on hardware bring-up and motor-driver integration, including Infineon TLE9879.
  • Collaborate with the Control engineer to ensure the firmware layer meets timing and observability requirements of the torque and impedance control loops.

Desired Qualifications

  • Zephyr RTOS experience.
  • ASIL-B or SIL 2 level functional safety experience.
  • Qualcomm IQ platform or similar board support package and bring-up experience.
  • Infineon TLE9879 or similar integrated motor-driver bring-up and configuration experience.
  • Experience developing firmware for tendon-driven or BLDC-actuated robotic hand or finger mechanisms.
  • Contributions to open-source RTOS or embedded middleware projects such as Zephyr or NuttX.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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