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Senior Systems Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Humanoid
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    Robotics
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

About

the Role

We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.

The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.

This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.

What You'll Do
  • Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.

  • Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.

  • Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.

  • Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.

  • Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.

  • Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.

  • Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.

  • Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.

  • Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.

  • Define integration stages, entry and exit criteria, required test environments, and readiness expectations.

  • Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.

  • Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.

  • Develop system-level verification and validation strategies for autonomous robotic capabilities.

  • Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.

  • Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.

  • Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.

  • Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.

  • Facilitate requirement, architecture, interface, integration, and system-readiness reviews.

  • Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.

  • Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.

What We're Looking For
  • Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.

  • Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical…

Position Requirements
10+ Years work experience
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