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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Tech Lead Robot Communication & Connectivity

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

About the Job

Requirements

  • Hands-on experience implementing, integrating, and commissioning EtherCAT master stacks on production robot hardware, such as SOEM or EtherLab; configuration-only experience is insufficient.
  • Practical experience with IEEE 1588 / Precision Time Protocol hardware clock synchronization on physical hardware.
  • Experience configuring Time-Sensitive Networking stacks, including 802.1Qbv, 802.1Qav, and 802.1AS traffic shaping and deterministic Ethernet scheduling for real-time environments.
  • Deep expertise in Data Distribution Service middleware, such as FastDDS, including quality-of-service design, shared-memory transport, zero-copy, and domain isolation in production.
  • Experience with cross-team gRPC and Protocol Buffers API governance, including designing APIs used by multiple teams, versioning strategy, and backward compatibility.
  • Strong knowledge of the ROS 2 middleware stack, including ros2_control, lifecycle nodes, diagnostics framework, and launch architecture.
  • Experience designing operational robot state machines for safety-critical systems, including boot, homing, fault, emergency-stop, and recovery cycles.
  • C++17/20 experience under real-time constraints, including lock-free data structures, disciplined 1 kHz control loops, and latency profiling.
  • Demonstrated architectural influence across multiple teams, with decisions that changed how multiple teams work.
  • Experience leading RFCs or design documents with cross-team reach, resolving interface conflicts between teams, and having the resulting solution adopted as a standard.
  • A mentoring track record that includes having materially developed at least one person toward senior or staff level.
  • At least 8 years of practical engineering experience focused on embedded real-time systems and robot communication middleware.

Responsibilities

  • Own the technical architecture of the complete robot communication stack, including the real-time drive bus, robot middleware, gRPC control API design, industrial fieldbus protocols, fleet-cloud connectivity, and the Neuraverse Developer SDK.
  • Define and maintain the shared review process at the interface between real-time operating system scheduling and the EtherCAT master, including requiring a joint latency-budget review before any Board Support Package change is merged, in coordination with the Robot Systems Cluster Lead.
  • Govern gRPC control APIs by defining Protocol Buffers contract standards, versioning strategy, backward compatibility, and streaming RPC patterns for Robot Platform Integration Engineers.
  • Set Data Distribution Service and ROS 2 middleware standards across platforms, including quality-of-service policies, shared-memory transport, zero-copy configuration, and domain isolation.
  • Set the architectural direction for industrial fieldbus integration protocols, including PROFINET, EtherNet/IP, OPC UA, and safety-bus implementations, and define the boundary between protocol stacks and industrial interface-server layers.
  • Drive quarterly cross-team reviews of state-machine and API designs; changes to generalizable transition guards or gRPC APIs must undergo design review before platform-specific implementation.
  • Lead quarterly cluster knowledge days focused on peer-to-peer exchange of one unresolved and one solved problem per engineer, producing a shared-library ticket or design document rather than slides.
  • Write design documents to reduce concentration of knowledge, mentor senior engineers toward staff level, and drive sourcing for new cluster hires.
  • Write code, lead design reviews, author technical RFCs, and maintain hands-on expertise across the communication stack. The role provides technical leadership to approximately 20 engineers in Platform Guild and Product Anchor roles.

Desired Qualifications

  • Implementing industrial fieldbus protocol stacks, such as PROFINET device stacks, EtherNet/IP adapters, or safety-bus designs using FSoE or PROFIsafe.
  • Fleet robotics platform engineering, including over-the-air pipelines, the VDA 5050 mission protocol, and large-scale fleet telemetry.
  • Designing developer SDKs for external developers, including typed node systems, skill-marketplace toolchains, and API versioning.
  • Open-source contributions to robotics communication infrastructure such as FastDDS, ros2_control, or SOEM.

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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