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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Staff Engineer – Robot Communication & Connectivity

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

About the Job

Requirements

  • Hands-on EtherCAT master stack implementation and commissioning on production robot hardware using SOEM, EtherLab, or equivalent; configuration alone is insufficient.
  • IEEE 1588/PTP hardware clock synchronization implementation experience on physical hardware.
  • TSN stack configuration, including 802.1Qbv/Qav/AS traffic shaping and deterministic Ethernet scheduling for real-time environments.
  • Deep DDS middleware expertise, such as FastDDS or equivalent, including production-level QoS design, shared-memory transport, zero-copy, and domain isolation.
  • Cross-team gRPC/protobuf API governance experience, including designing APIs depended on by multiple teams and handling versioning and backward compatibility.
  • ROS2 middleware stack proficiency, including ros2_control, lifecycle nodes, diagnostics framework, and launch architecture.
  • Robot operational state machine design for safety-critical systems, including boot, homing, fault, emergency stop, and recovery cycle patterns.
  • C++17/20 experience under real-time loop constraints, including lock-free data structures, 1 kHz control loop discipline, and latency profiling.
  • Demonstrated cross-team architectural impact, with design decisions changing how multiple teams work.
  • RFC or design-document leadership with cross-team reach, including resolving interface conflicts and having proposals adopted as standards.
  • A mentoring track record that includes materially accelerating at least one engineer toward a senior or staff-equivalent level.
  • At least 8 years of hands-on engineering experience spanning embedded real-time systems and robot communication middleware.

Responsibilities

  • Own the architectural direction for the full 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 co-review protocol at the boundary between RT OS scheduling and the EtherCAT master; require joint latency budget review for board support package changes before merge, alongside the Robot Systems cluster lead.
  • Own gRPC control API governance, including proto contract standards, versioning policy, backward compatibility, and streaming RPC patterns used by robot platform integration engineers.
  • Set DDS and ROS2 middleware standards across platforms, including QoS policy, shared-memory transport, zero-copy configuration, and domain isolation.
  • Own the architectural direction for industrial fieldbus integration, including PROFINET, EtherNet/IP, OPC UA, and safety bus implementations; define the boundary between protocol stack and industrial interface server layers.
  • Drive quarterly cross-team state machine and API design reviews for generalizable transition guard or gRPC API changes before platform-specific implementation.
  • Lead quarterly cluster knowledge days where engineers exchange unsolved and solved problems, producing a shared library ticket or design document.
  • Write design documents that reduce knowledge concentration.
  • Mentor Senior engineers toward Staff level.
  • Drive cluster hiring sourcing.
  • Provide technical leadership to approximately 20 engineers across platform guild and product-anchor roles.
  • Write code, lead design reviews, author technical RFCs, and maintain hands-on expertise across the communication stack.

Desired Qualifications

  • Industrial fieldbus protocol stack implementation, including PROFINET device stack, EtherNet/IP adapter, or safety bus design such as FSoE/PROFIsafe.
  • Fleet robotics platform engineering, including OTA pipelines, VDA 5050 mission protocol, or fleet telemetry at scale.
  • Developer SDK design for external developers, including typed node systems, skill marketplace toolchains, or API versioning.
  • Open-source contributions to robotics communication infrastructure such as FastDDS, ros2_control, SOEM, or equivalent.

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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