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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Tech Lead – Robot Systems & Integration

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Deep experience in Robot Systems Integration, with depth in at least two of the specified areas: embedded Linux real-time system integration, ROS 2 or comparable hardware-interface architecture, production motion-planning pipelines, industrial device integration at the server layer, or real-time skill execution and soft real-time scheduling.
  • Broad end-to-end system-integration understanding sufficient to review merge requests and make design decisions spanning the operating system, middleware, motion planning, and device integration.
  • Demonstrated experience debugging issues across operating-system, middleware, and hardware-interface boundaries, including real-time scheduling overruns, middleware executor latency under 1-kHz real-time constraints, and hardware-interface errors during robot bring-up.
  • C++17/20 systems programming, including lock-free patterns, RAII, real-time-safe memory management, and disciplined programming for 1-kHz control loops.
  • Demonstrated architectural influence across multiple teams, with design decisions that changed how multiple teams work.
  • Experience leading RFCs or design documents with cross-team reach, resolving integration conflicts between teams, and having solutions adopted as standards.
  • Mentoring experience that has measurably accelerated at least one person toward Senior or Staff level.
  • At least 8 years of practical engineering experience focused on Robot Systems Integration.

Responsibilities

  • Own the technical architecture of the real-time operating system, hardware-interface layer, motion-planning pipeline, and industrial device servers connecting robots to factory automation systems.
  • Set the real-time scheduling policy for the cluster, including priority-assignment standards, memory-locking requirements, and interrupt-latency guarantees for 1-kHz control loops and 500-Hz state estimation.
  • Own the joint review process at the boundary between real-time operating-system scheduling and the EtherCAT master, requiring a shared latency-budget review before board-support-package changes are merged, in coordination with the Robot Communication Cluster lead.
  • Provide Unified Compute Platform engineers with real-time operating-system architecture guidelines and ensure each Robot Platform profile's timing budget is validated after every hardware revision.
  • Set the architectural direction of the motion-planning pipeline, including planner-selection criteria, planning-stack configuration standards, and the design and development of atomic skill-primitive APIs across robot platforms.
  • Enforce the shared skill-primitive library by requiring design review of patterns originating in product-specific streams before they are forked for a platform, and ensure compliance through code reviews.
  • Define the boundary between server and protocol in industrial integration: the Robot Communication Cluster owns the protocol stack, while this role owns the server layer, including command dispatch, state-machine integration, and hardware interfaces; decide conflicts between server architecture and protocol constraints.
  • Own end-effector server architecture, including gripper lifecycle management, tool-change sequences, and hardware-interface contracts used by motion planning and the operational state machine.
  • Lead quarterly cluster Knowledge Days in which each engineer brings one unresolved and one solved problem, resulting in a shared-library ticket or design document.
  • Write design documents to reduce knowledge silos, mentor Senior Engineers toward Staff level, and drive sourcing for new hires in the cluster.
  • Write code, lead design reviews, author technical RFCs, and remain hands-on in implementation.
  • Provide technical leadership to engineers in Platform Guild and Product Anchor roles.

Desired Qualifications

  • Experience combining real-time operating-system kernel expertise with deep ROS 2 or other middleware expertise, particularly debugging issues across both layers.
  • Experience taking a motion-planning pipeline from development to production on a manipulator or mobile manipulator.
  • Background in industrial functional safety at the software-architecture level.
  • Experience implementing real-time execution engines, rather than only using them.
  • Open-source contributions to Robot Systems Infrastructure projects such as ros2_control, MoveIt2, Nav2, Xenomai, or comparable projects.

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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