Humanoid

About the Company

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 can imagine millions of bipedal robots doing more work than all human labour does today freeing people from the servitude of some repetitive and boring tasks that nobody likes to perform.

We believe that we have enough abundance to take care of everyone who is displaced. Eventually, providing a universal basic income will lead to the true evolution of our civilization.

Labor shortages loom, as the demands on our built environment rise. 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.

Listed Jobs

Company Name

Humanoid

Job Title

Senior Software Engineer

Job Description

**Job Title:** Senior Software Engineer (Robotics) **Role Summary:** Design, develop, and maintain production‑grade application software for advanced humanoid robots. Work hands‑on with both simulated and physical hardware, integrate cross‑disciplinary subsystems, and ensure reliable, user‑friendly operation of the robot platform. **Expectations:** - Minimum 5 years of professional experience in robotics or a closely related field. - Proven ability to deliver high‑quality C++ code in production environments. - Strong problem‑solving skills, especially when debugging hardware‑in‑the‑loop systems. - Effective communication and collaboration across control, perception, navigation, and learning teams. - Ability to adapt to evolving priorities and real‑world constraints. **Key Responsibilities:** - Develop and sustain application‑level software for humanoid robots. - Integrate components from control, navigation, computer vision, reinforcement learning, and platform teams. - Influence and evolve the overall application architecture and interface design. - Collaborate with product and engineering stakeholders to prioritize features and ensure robustness. - Debug complex robotic systems in simulation and on physical hardware. - Support on‑site validation, field testing, and post‑deployment troubleshooting. **Required Skills:** - Expert proficiency in C++ (C++14/17 or newer). - In‑depth understanding of robotic subsystems: control, perception, navigation, and learning. - Experience with ROS/ROS 2 or equivalent middleware. - Ability to read, comprehend, and integrate code from diverse engineering teams. - Hands‑on debugging of hardware‑centric systems. - Strong verbal and written communication; collaborative team player. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related technical discipline (Master’s preferred). - No specific certifications required; demonstrated experience and portfolio of robotic software projects is essential.

London, United kingdom

On site

Senior

23-10-2025

Company Name

Humanoid

Job Title

Deep Learning Engineer

Job Description

Job title: Deep Learning Engineer Role Summary: Design, train, and deploy deep‑learning models for humanoid manipulation and navigation. Manage the end‑to‑end pipeline from data collection and curation through simulation, tele‑operation, and edge inference. Expectations: • 3+ years of real‑world deep‑learning system development with shipped models or published results. • Proven ability to train and fine‑tune large‑scale models (LLMs, VLMs, or generative models). • Strong Python, PyTorch or JAX expertise. • Experience with distributed training, data streaming, and model deployment for latency‑constrained edge devices. Key Responsibilities: - Train policies using representation learning, behaviour cloning, and reinforcement learning, overseeing the full data‑to‑deployment cycle. - Collaborate with tele‑operation teams to define high‑quality data requirements, ensure diversity, and close simulation–real gaps. - Operate pre‑/mid‑/post‑training on multimodal LLM/VLM/VLA stacks, integrating new modalities without disrupting existing pipelines. - Build and maintain continuous engineering pipelines: ingest simulation and tele‑op logs, checkpoint data, apply weak‑supervision labeling, curate balanced datasets, and surface failure cases for retraining. - Work with MLOps and Data Platform teams to scale distributed training and optimize models for real‑time edge inference. Required Skills: - Deep‑learning system development (research or industry) with deployed models. - Hands‑on experience with at least one of: large language models, large vision models, or image/video generative models (architecture, training, inference). - Deep‑learning infrastructure expertise: dataset streaming, checkpointing, state management, distributed training strategies. - Strong Python with PyTorch or JAX; ability to profile, debug numerics, and write maintainable research code. - Clear experimental documentation and concise communication of trade‑offs. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field (equivalent industry experience acceptable). - No mandatory certifications, but familiarity with AI/ML tooling (e.g., TensorFlow, PyTorch) is required.

London, United kingdom

On site

22-11-2025

Company Name

Humanoid

Job Title

Business AI Lead (Back Office)

Job Description

**Job Title:** Business AI Lead (Back Office) **Role Summary** Lead the design, deployment, and scaling of AI‑powered automation initiatives across core back‑office functions—Finance, HR, Supply Chain, Legal, and Compliance—to enhance efficiency, accuracy, and data‑driven decision making while ensuring responsible and compliant AI use. **Expectations** - Deliver measurable improvements in process efficiency and accuracy for pilot projects. - Provide clear KPIs and ROI evidence to senior stakeholders. - Foster cross‑functional adoption and sustain long‑term integration of AI solutions. **Key Responsibilities** 1. **Identify AI Opportunities** – Scan routine, rule‑based workflows for AI enablement; prioritize initiatives based on impact potential. 2. **Pilot Leadership** – Design, execute, and monitor pilots in areas such as financial reporting automation, compliance monitoring, and supplier data enrichment. 3. **Metrics & Reporting** – Quantify efficiency, accuracy, and cost savings; present findings to functional heads and leadership. 4. **Architecture & Governance** – Partner with IT to ensure data quality, tool integration, security; collaborate with Compliance to satisfy regulatory and ethical standards. 5. **Adoption & Scaling** – Build relationships with capability owners; develop reusable automation frameworks; drive organization‑wide adoption. 6. **Continuous Improvement** – Incorporate feedback, iterate solutions, and embed lessons learned into future projects. **Required Skills** - 8+ years of business operations, transformation, or automation leadership experience. - Deep operating knowledge of Finance, HR, or Supply Chain systems (ERP, HCM, etc.). - Proven track record deploying AI, RPA, or analytics tools in operational contexts. - Strong analytical mindset; ability to translate business challenges into data‑driven AI solutions. - Excellent communication, stakeholder management, and project management skills. - Familiarity with process mining, intelligent document understanding, and compliance‑automation tools (preferred but not mandatory). **Required Education & Certifications** - Bachelor’s degree in Business Administration, Finance, Computer Science, Engineering, or related field (Master’s preferred). - Certifications in AI/ML, RPA (e.g., UiPath, Automation Anywhere), or business analytics are advantageous.

London, United kingdom

On site

Senior

24-11-2025