London, UK
Senior System Engineer (Model-Based Systems Engineering – MBSE)
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
Our Mission
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
Vision
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.
Solution
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a Senior System Engineer (Model-Based Systems Engineering – MBSE) with a strong foundation in systems engineering and modeling to join our innovative team. In this role, you will lead the creation and management of system-level and technical functional requirements using MBSE methodologies, ensuring a robust, traceable, and integrated system definition for our robotic platforms.Your focus will include developing a deep technical understanding of system and subsystem technical requirements, leveraging that knowledge to create and maintain the system model (e.g., in Matlab System Composer), and supporting the derivation of engineering artifacts and the validation of resulting designs, collaborating closely with subject matter experts (SMEs) across technical domains.To excel in this position, you must showcase your ability to influence, adapt to dynamic environments, make decisive judgments under pressure, and establish a clear technical vision for implementing Model-Based Systems Engineering methodologies.
What You’ll Do:
Obtain inputs from System Technical Leaders and SMEs to translate stakeholder needs into verifiable requirements within the system model.
Develop and document technical-level requirements for robotic systems, capturing them and their relationships within the system model.
Define and maintain the system architecture, interfaces, and behavior using a Model-Based Systems Engineering (MBSE) approach.
Influence the development of Engineering artifacts, their technical direction and ultimately stakeholder satisfaction by ensuring model consistency and integrity.
Identify and analyse the interfaces and interactions across systems/components boundaries using the system model as the single source of truth.
Collaborate with cross-functional teams (mechanical, software, and controls) to ensure system requirements and architectural models are cohesive and achievable.
Provide expertise and guidance to ensure our engineers understand the problem completely and stakeholder needs through effective coaching on MBSE and Systems Engineering practices (early and later lifecycle stages).
Ensure the appropriate level of concepting, modelling and simulation techniques are used across the lifecycle to inform architectures and solution options, leveraging model simulation capabilities.
Track the status of requirements and their verification/validation throughout the product development lifecycle using model-based traceability.
Troubleshoot and resolve complex system-level issues by tracing them back to the architectural and requirements definitions in the system model, in collaboration with the development team.
Maintain detailed documentation, including system architectures, requirement traceability matrices, and test reports.
Ensure that designs comply with relevant standards and certifications.
We’re Looking For:
- Bachelor’s or Master’s degree in Systems Engineering, Computer Science, or related field.
- 5+ years of experience in systems engineering with a focus on defining complex systems, preferably in robotics, automation, or similar industries.
- Expertise in Model-Based Systems Engineering (MBSE) methodologies and tools (e.g., SysML, Cameo Systems Modeler, Sparx Enterprise Architect, Rhapsody).
- Demonstrated experience in developing and maintaining system models (architecture, requirements, behavior) for complex embedded systems.
- Experience with requirements management tools (e.g., DOORS, Jama, Polarion).
- Excellent analytical, problem-solving, and decision-making skills.
- Strong verbal and written communication skills, with the ability to convey complex ideas, particularly model-based concepts, to diverse stakeholders.
- Proven leadership skills with the ability to drive MBSE adoption and mentor team members.
Nice to have
- .Experience in robotics or automation industries.
- Familiarity with industry standards (e.g., ISO 26262, IEC 61508, SOTIF, ASPICE, MISRA, ISO 21434) and certification processes, particularly how they integrate with MBSE workflows.
- Knowledge of model simulation and analysis techniques.
- Experience with communication protocols (e.g., CAN, Ethernet, SPI, I2C).
- Knowledge of AI, machine learning, or advanced sensor technologies is a plus.
What We Offer:
- Competitive salary plus participation in our Stock Option Plan
- Paid vacation with adjustments based on your location to comply with local labor laws
- Travel opportunities to our Vancouver and Boston offices
- Office perks: free breakfasts, lunches, snacks, and regular team events
- Freedom to influence the product and own key initiatives
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
- Startup culture prioritising speed, transparency, and minimal bureaucracy
How to Apply
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