At a Glance
- Tasks: Transform raw robotic data into scalable systems for AI and robotics.
- Company: Join Humanoid, the UK's pioneering AI and robotics company.
- Benefits: Competitive salary, stock options, paid travel, and office perks.
- Other info: Collaborate with top engineers in a fast-paced startup culture.
- Why this job: Shape the future of humanoid robots and make a real impact.
- Qualifications: 5+ years in data engineering; strong programming skills required.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
About The Role
We are looking for a Senior/Staff Software Engineer to help transform our rapidly growing universe of raw robotic data into a dependable, scalable foundation for learning, simulation, and system performance. You will be part of a specialised team responsible for designing and maintaining the data pipelines that connect control, perception, simulation, and learning systems. This role involves close collaboration with robotics engineers, machine learning researchers, and software developers. You will own critical aspects of our data platform, shape data models and schema design, implement quality controls, and optimise systems for high‐throughput and reliable processing. It’s ideally suited to someone passionate about building foundational systems at the intersection of AI and robotics, who enjoys solving practical challenges and working across disciplines to turn complexity into clarity.
What You’ll Do
- Develop the backbone of our HMND robot Capability Factory.
- Curate, preprocess, and manage large‐scale datasets for humanoid robot training projected to grow to petabytes by 2026.
- Build highly scalable data pipelines on massive infrastructure tens of thousands of vCPUs.
- Ensure the quality, accuracy, and consistency of data across multiple projects.
- Collaborate with machine learning teams to design data pipelines that support efficient training workflows.
- Develop and maintain data quality metrics reporting systems.
- Implement best practices for data management, including versioning, security, and compliance.
We’re Looking For
- Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
- 5+ years of experience in data engineering and data quality.
- Strong proficiency in one of the programming languages, such as Python, Java, Scala, C++, etc.
- Experience with distributed computing frameworks such as Ray, Spark, and MapReduce.
- Attention to detail and a strong commitment to data integrity.
- Excellent problem‐solving skills and ability to work in a fast‐paced environment.
Nice To Have
- Experience developing infrastructure for petabyte‐scale data platforms.
- Deep, hands‐on expertise in low‐level and system‐level engineering, including operating systems, networking, and large‐scale infrastructure internals.
- Understanding of ML requirements and experience working with ML teams.
- Experience with DBT, Prefect, and Databricks.
- Familiarity with robotics or the self‐driving field.
- Experience with cloud‐based data storage and processing solutions. AWS would be a plus.
- Passion for contributing to the development of advanced humanoid robots.
Benefits
- Competitive salary plus participation in our Stock Option Plan.
- Paid vacation and travel opportunities to our London, 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
Does this role sound like the perfect fit for you? Fill in the form and include links or files that showcase the best of what you’ve built and achieved.
Senior Software Engineer – Data in London employer: Humanoid
At Humanoid, we pride ourselves on being at the forefront of AI and robotics innovation, offering a dynamic work environment that fosters collaboration and creativity. Our commitment to employee growth is reflected in our competitive salary packages, stock options, and opportunities for travel to our international offices, all while enjoying a vibrant startup culture that values transparency and minimal bureaucracy. Join us in shaping the future of humanoid robots and experience the thrill of working alongside top-tier engineers and researchers dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer – Data in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Software Engineer – Data in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Humanoid.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Humanoid and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Humanoid
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Humanoid uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.