At a glanceSummarised by Seekless from the posting.
Must have16
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Software Engineering, Mechatronics, or a related field
Strong software engineering skills in modern C++ (C++17 or later)
Experience working with embedded systems or hardware-near software
Strong Linux development experience
Experience developing real-time or latency-sensitive applications
Experience with DDS-based communication systems such as FastDDS, Cyclone DDS, RTI Connext, or comparable distributed communication frameworks
Experience integrating software across complex systems involving hardware, sensors, controllers, and distributed software services
Practical experience working with physical robots or robotic hardware platforms, not solely simulation environments
Experience bringing up, integrating, troubleshooting, or deploying robotic systems on real hardware
Strong understanding of software architecture, system integration, and debugging in complex environments
Experience designing and implementing state machines for operational and fault-management workflows
Familiarity with gRPC and Protocol Buffers
Experience with containerized development environments using Docker, Nix, Podman, or comparable technologies
Familiarity with modern software engineering practices, including CI/CD pipelines, dependency management, packaging, and reproducible build environments
Familiarity with virtualized or hypervisor-based development environments, including virtual machines, KVM/QEMU, cross-compilation environments, or similar embedded software workflows
Strong communication skills and the ability to collaborate effectively across software, controls, electronics, and mechanical engineering teams
Nice to have9
Experience with humanoid robots, legged robots, mobile manipulators, or other complex robotic systems
Experience with robotics middleware and orchestration frameworks such as ROS 2, Dora, Zenoh, DDS-native systems, or Proprietary robotics platforms
Familiarity with OROCOS RTT or other hard real-time robotics frameworks
Experience integrating software into high-frequency control systems (500 Hz–1 kHz)
Exposure to locomotion, balancing, whole-body control, manipulation, or state-estimation systems
Knowledge of QoS tuning, distributed communication architectures, and robotics middleware performance optimization
Experience with safety-critical systems, fault-tree analysis (FTA), FMEA, or safety-oriented software development
Familiarity with cross-compilation, embedded Linux, virtualization, and deployment pipelines for robotic products
Contributions to open-source robotics software, middleware, infrastructure, or embedded systems projects
Skills
C++
DDS
FastDDS
Cyclone DDS
RTI Connext
ROS 2
Dora
Zenoh
gRPC
Protocol Buffers
Docker
Nix
Podman
CI/CD
KVM/QEMU
OROCOS RTT
MuJoCo
Isaac Sim
About the role
At NEURA Robotics, we are building 4NE1, a cognitive humanoid robot designed to operate safely and autonomously in real-world environments. We are looking for a Robot Platform Engineer to join our Humanoid team and help develop the software foundation that connects hardware, controls, middleware, and applications into a reliable production-ready robotics platform.
This role sits at the intersection of robotics software, embedded systems, distributed systems, middleware, and hardware integration. You will work directly with engineers across locomotion, whole-body control, manipulation, perception, state estimation, and embedded software to ensure the humanoid platform operates reliably on real hardware.
We are looking for a strong C++ software engineer who enjoys working close to the robot, solving system-level challenges, and building robust software infrastructure for complex robotic systems.
Your mission & challenges
Humanoid Platform Integration
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Develop and maintain the software abstraction layer connecting 4NE1 hardware capabilities to NEURA’s platform software.
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Integrate actuators, joints, limbs, hands, sensors, safety systems, and robot controllers into a unified software architecture.
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Create and maintain hardware interfaces that expose robot capabilities to control, planning, and application layers.
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Collaborate closely with controls, locomotion, and hardware teams on platform-wide integration.
Middleware & System Integration
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Integrate software components across the humanoid stack, including locomotion, manipulation, whole-body control, state estimation, perception, diagnostics, and robot operations.
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Design and maintain communication pathways between embedded systems, robot software, and higher-level applications.
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Work with DDS-based communication systems and real-time software pipelines.
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Support deployment and integration of robotics middleware frameworks such as ROS 2, Dora, DDS-native architectures, or other distributed robotics systems.
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Collaborate with Middleware Engineers on the broader software platform architecture.
Robot Lifecycle & State Management
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Design and maintain the humanoid operational state machine covering:
Ensure safe and predictable robot behavior throughout all operational phases.
Controller & Mode Management
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Develop and maintain software for robot operating modes, including:
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Locomotion
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Standing and balancing
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Manipulation
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Whole-body control
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Gravity compensation
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Service and maintenance modes
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Recovery procedures
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Implement safe controller switching and mode-transition logic.
Robot Bring-Up & Hardware Integration
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Develop software responsible for startup, calibration, homing, and shutdown procedures.
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Integrate sensors, actuators, motor controllers, and embedded subsystems.
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Support robot bring-up and commissioning activities on physical hardware.
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Debug software issues in real-world environments where timing, synchronization, and hardware behavior matter.
Fault Management & Health Monitoring
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Develop watchdog and fault-management mechanisms.
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Implement fault detection, classification, recovery, and escalation logic.
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Build robot-wide health monitoring systems covering:
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Joint and actuator health
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Thermal monitoring
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Controller status
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Communication health
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Sensor availability
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System diagnostics
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Ensure robust and safe robot operation under both expected and unexpected conditions.
Robot API Development
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Develop and maintain gRPC-based robot control services.
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Implement APIs for operational state management, diagnostics, fault handling, telemetry, and robot control.
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Contribute to Protocol Buffer definitions and API evolution together with platform and SDK teams.
Testing & Validation
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Develop platform-level integration tests covering the complete humanoid system.
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Validate software in simulation environments such as MuJoCo and Isaac Sim.
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Support continuous integration and automated testing pipelines.
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Verify functionality on physical 4NE1 robots.
What We Are Looking For
•
Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Software Engineering, Mechatronics, or a related field.
•
Strong software engineering skills in modern C++ (C++17 or later).
•
Experience working with embedded systems or hardware-near software.
•
Strong Linux development experience, including:
•
Multi-threaded applications
•
Debugging and profiling
•
Process and memory management
•
Performance optimization
•
Experience developing real-time or latency-sensitive applications.
•
Experience with DDS-based communication systems such as FastDDS, Cyclone DDS, RTI Connext, or comparable distributed communication frameworks.
•
Experience integrating software across complex systems involving hardware, sensors, controllers, and distributed software services.
•
Practical experience working with physical robots or robotic hardware platforms, not solely simulation environments.
•
Experience bringing up, integrating, troubleshooting, or deploying robotic systems on real hardware.
•
Strong understanding of software architecture, system integration, and debugging in complex environments.
•
Experience designing and implementing state machines for operational and fault-management workflows.
•
Familiarity with gRPC and Protocol Buffers.
•
Experience with containerized development environments using Docker, Nix, Podman, or comparable technologies.
•
Familiarity with modern software engineering practices, including CI/CD pipelines, dependency management, packaging, and reproducible build environments.
•
Familiarity with virtualized or hypervisor-based development environments, including virtual machines, KVM/QEMU, cross-compilation environments, or similar embedded software workflows.
•
Strong communication skills and the ability to collaborate effectively across software, controls, electronics, and mechanical engineering teams.
Nice to Have
•
Experience with humanoid robots, legged robots, mobile manipulators, or other complex robotic systems.
•
Experience with robotics middleware and orchestration frameworks such as:
•
ROS 2
•
Dora
•
Zenoh
•
DDS-native systems
•
Proprietary robotics platforms
•
Familiarity with OROCOS RTT or other hard real-time robotics frameworks.
•
Experience integrating software into high-frequency control systems (500 Hz–1 kHz).
•
Exposure to locomotion, balancing, whole-body control, manipulation, or state-estimation systems.
•
Knowledge of QoS tuning, distributed communication architectures, and robotics middleware performance optimization.
•
Experience with safety-critical systems, fault-tree analysis (FTA), FMEA, or safety-oriented software development.
•
Familiarity with cross-compilation, embedded Linux, virtualization, and deployment pipelines for robotic products.
•
Contributions to open-source robotics software, middleware, infrastructure, or embedded systems projects.