At a Glance
- Tasks: Design and develop cutting-edge humanoid robotic systems while ensuring efficiency and reliability.
- Company: Join a pioneering company at the forefront of AI and robotics, shaping the future of technology.
- Benefits: Enjoy a competitive salary and work with the latest tech in AI, Robotics, and Blockchain.
- Why this job: Be part of a revolutionary team that merges human potential with advanced robotics for a better world.
- Qualifications: Bachelor’s, Master’s, or Ph.D. in relevant fields; experience in AI/ML and real-time systems required.
- Other info: Full-time position located in London, with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Global Recruitment Specialist – Humanoid Robotics 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. The Principal Systems Architect will play a key role in the design, development, and deployment of our advanced humanoid robotic systems. Develop and implement technical strategies aligned with the company’s mission and long-term goals. Identify and resolve performance bottlenecks, ensuring architectural efficiency, reliability, and scalability. Identify and mitigate technical risks throughout the development lifecycle. Guide system integration efforts and coordinate with mechanical, electrical, software, and AI teams. Support system integration efforts to ensure high system performance and reliability. Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. ~Proficiency in hardware-software co-design, real-time computing, and middleware frameworks ~ Experience with AI/ML integration, sensor fusion, and autonomous decision-making systems. ~ Familiarity with embedded systems, microcontrollers, FPGAs, and high-performance computing platforms. ~ Strong problem-solving skills and the ability to manage trade-offs between performance, cost, and complexity. Exposure to digital twin architectures and real-time system simulation. ~ Knowledge of DevOps practices and deployment pipelines for robotic applications ~ High competitive salary ~Opportunity to work on the latest technologies in AI, Robotics, Blockchain and others. ~ Employment type Full-time Get notified about new System Architect jobs in London Area, United Kingdom . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Digital Services System Architect employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Services System Architect
✨Tip Number 1
Familiarise yourself with the latest trends in humanoid robotics and AI. Follow industry leaders on social media, read relevant publications, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the robotics and AI sectors. Attend conferences, webinars, or local meetups to connect with like-minded individuals. Building relationships can lead to valuable insights and potential referrals for job openings at StudySmarter.
✨Tip Number 3
Showcase your technical skills through personal projects or contributions to open-source initiatives. Having a portfolio that highlights your experience with hardware-software co-design, AI/ML integration, or real-time computing can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to system architecture and integration. Use platforms like LeetCode or HackerRank to sharpen your coding skills and get comfortable with algorithmic challenges that may come up during the interview process.
We think you need these skills to ace Digital Services System Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics, AI/ML integration, and system architecture. Use specific examples that demonstrate your proficiency in hardware-software co-design and real-time computing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for humanoid robotics and how your skills align with the company's mission. Mention any experience you have with digital twin architectures or DevOps practices to stand out.
Showcase Problem-Solving Skills: Provide examples of past projects where you identified and resolved performance bottlenecks or managed trade-offs between performance, cost, and complexity. This will demonstrate your strong problem-solving abilities.
Highlight Team Collaboration: Emphasise your experience working with cross-functional teams, such as mechanical, electrical, software, and AI teams. This is crucial for the role, so make sure to include specific instances where you successfully guided system integration efforts.
How to prepare for a job interview at Humanoid
✨Showcase Your Technical Expertise
Make sure to highlight your proficiency in hardware-software co-design, real-time computing, and middleware frameworks. Be prepared to discuss specific projects where you've successfully integrated AI/ML or worked with embedded systems.
✨Demonstrate Problem-Solving Skills
Prepare examples that showcase your strong problem-solving abilities. Discuss how you've managed trade-offs between performance, cost, and complexity in past projects, as this is crucial for the role.
✨Familiarise Yourself with Digital Twin Architectures
Since exposure to digital twin architectures is mentioned in the job description, brush up on your knowledge in this area. Be ready to explain how you would apply these concepts to enhance system performance and reliability.
✨Understand DevOps Practices
Knowledge of DevOps practices and deployment pipelines is essential for this role. Be prepared to discuss your experience with these practices and how they can be applied to robotic applications during the interview.