Tech Lead — Robot Communication & Connectivity (human)

Posted 22 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Robotics
The Role
Lead technical architecture for the full robot communication stack from real-time drive buses through middleware to cloud connectivity. Own API governance, fieldbus protocol integration, DDS/ROS2 standards, gRPC/protobuf contracts, and hands-on implementation. Write RFCs, lead cross-team reviews, mentor engineers, and reduce knowledge concentration with design artifacts.
Summary Generated by Built In
Your mission & challenges

Every byte of data that moves between a NEURA robot's servo drives and the fleet cloud passes through layers of communication infrastructure. As Staff Engineer for our Robot Communication & Connectivity cluster, you own the technical architecture of that entire vertical — from the real-time drive bus at the hardware boundary, through robot abstraction middleware and industrial fieldbus protocols, all the way up to fleet cloud connectivity and the Neuraverse developer SDK.

This is a pure individual contributor role. You carry no people management responsibility. Your authority is technical: you set architectural direction, hold permanent veto on design decisions within your scope, and are the person the team calls when a communication boundary decision is genuinely non-trivial.

You will provide technical leadership to approximately 20 engineers across platform guild and product-anchor roles. You write code, lead design reviews, author technical RFCs, and maintain current hands-on expertise across the communication stack. This is not an architecture-only position.

  • Own the architectural direction for the full robot communication stack: 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 co-review protocol at the boundary between RT OS scheduling and the EtherCAT master — any board support package change must pass a joint latency budget review before merge; you own this process alongside the Robot Systems cluster lead

  • Own gRPC control API governance: proto contract standards, versioning policy, backward compatibility, and streaming RPC patterns that all robot platform integration engineers implement against

  • Set DDS and ROS2 middleware standards across all platforms: QoS policy, shared-memory transport, zero-copy configuration, and domain isolation

  • Own the protocol stack architectural direction for industrial fieldbus integration: PROFINET, EtherNet/IP, OPC UA, and safety bus implementations; define the boundary between the protocol stack and the industrial interface server layers

  • Drive quarterly cross-team state machine and API design reviews: any transition guard or gRPC API change that could be generalised must be design-reviewed before platform-specific implementation

  • Lead quarterly cluster knowledge days: peer-to-peer problem exchange where every engineer brings one unsolved and one solved problem; output is a shared library ticket or design document, never slides

  • Write design documents that reduce knowledge concentration; mentor Senior engineers toward Staff level; drive cluster hiring sourcing

What we can look forward to
  • Real-time communication and networking

    • Hands-on EtherCAT master stack implementation and commissioning on production robot hardware — SOEM, EtherLab, or equivalent; configuration alone is not sufficient

    • IEEE 1588/PTP hardware clock synchronisation implementation experience on physical hardware

    • TSN stack configuration: 802.1Qbv/Qav/AS traffic shaping and deterministic Ethernet scheduling for real-time environments

    • Deep DDS middleware expertise (FastDDS or equivalent): QoS design, shared-memory transport, zero-copy, domain isolation at production deployment level

  • Robot middleware and API design

    • gRPC/protobuf API governance experience at the cross-team level — you have designed APIs that multiple other teams depend on, including versioning and backward compatibility

    • ROS2 middleware stack proficiency: ros2_control, lifecycle nodes, diagnostics framework, launch architecture

    • Robot operational state machine design for safety-critical systems: boot, homing, fault, emergency stop, and recovery cycle patterns

    • C++17/20 at RT loop constraints: lock-free data structures, 1 kHz control loop discipline, latency profiling

  • Staff-level leadership (mandatory)

    • Demonstrated cross-team architectural impact: your design decisions changed how multiple teams work, not just your own domain

    • RFC or design document leadership with cross-team reach: you have resolved interface conflicts between teams and had your proposal adopted as the standard

    • Mentoring track record: at least one engineer you have materially accelerated toward a senior or staff-equivalent level

    • 8+ years of hands-on engineering experience spanning embedded real-time systems and robot communication middleware

  • Nice to have

    • Industrial fieldbus protocol stack implementation: PROFINET device stack, EtherNet/IP adapter, safety bus design (FSoE/PROFIsafe)

    • Fleet robotics platform engineering: OTA pipelines, VDA 5050 mission protocol, fleet telemetry at scale

    • Developer SDK design for external developers: typed node systems, skill marketplace toolchains, API versioning

    • Open-source contributions to robotics communication infrastructure (FastDDS, ros2_control, SOEM, or equivalent)

Skills Required

  • 8+ years of hands-on engineering experience in embedded real-time systems and robot communication middleware
  • Hands-on EtherCAT master stack implementation and commissioning on production robot hardware (SOEM, EtherLab, or equivalent)
  • IEEE 1588 / PTP hardware clock synchronization implementation experience on physical hardware
  • TSN stack configuration experience (802.1Qbv, 802.1Qav, 802.1AS) for deterministic Ethernet scheduling
  • Deep DDS middleware expertise (e.g., FastDDS): QoS design, shared-memory transport, zero-copy, domain isolation at production level
  • ROS2 middleware stack proficiency including ros2_control, lifecycle nodes, diagnostics framework, and launch architecture
  • gRPC/protobuf API governance experience at cross-team level, including versioning and backward compatibility
  • Proven staff-level cross-team architectural impact, RFC/design document leadership, and mentoring track record
  • C++17/20 experience under real-time loop constraints (lock-free data structures, latency profiling, 1 kHz control loops)
  • Experience defining protocol stack boundaries and integrating industrial fieldbus protocols (PROFINET, EtherNet/IP, OPC UA)
  • Industrial fieldbus protocol stack implementation (PROFINET device stack, EtherNet/IP adapter, safety bus design) - nice to have
  • Fleet robotics platform engineering experience (OTA pipelines, VDA 5050, fleet telemetry) - preferred
  • Developer SDK design experience (typed node systems, API versioning, external developer toolchains) - preferred
  • Open-source contributions to robotics communication infrastructure (FastDDS, ros2_control, SOEM, or equivalent) - preferred
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The Company
HQ: Metzingen
180 Employees
Year Founded: 2019

What We Do

NEURA Robotics is a German high-tech company founded in 2019 in Metzingen near Stuttgart with the vision to revolutionize the world of robotics. More than 180 team members from over 30 countries are working on advanced technologies in the fields of environmental perception, drive and control technology, material science, mechanical design, and artificial intelligence. We are expanding the cognitive capabilities of robots and make breakthrough advances in a variety of areas to bring robots and humans closer together, making many areas of work more attractive, creative, and social again. That's why everything we do runs under the guiding principle "we serve humanity". In a very short period of time, NEURA Robotics has developed robots and technologies that are characterized above all by their outstanding performance as well as safe and human-centred way of working. In this way, a wide variety of application fields can be covered, from intelligent production to medical technology. All major robot components are developed and designed in-house. Imprint: https://www.neura-robotics.com/legal Privacy: https://www.neura-robotics.com/privacy

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