At a Glance
- Tasks: Build models for decision-making in electronics manufacturing and optimise factory operations.
- Company: CircuitHub is revolutionising electronics manufacturing with innovative robotics technology.
- Benefits: Remote work options, competitive salary, and opportunities for hands-on experience in factories.
- Other info: Dynamic role with opportunities for growth and collaboration in a fast-paced environment.
- Why this job: Join a profitable startup making a real impact in the tech industry with cutting-edge solutions.
- Qualifications: Background in operations research or quantitative fields; strong Python and SQL skills required.
The predicted salary is between 56700 - 69300 £ per year.
CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think semiconductor-fab precision applied to the chaotic world of prototyping and low-volume production: a 10x throughput improvement in one of the world's most foundational industries. We've raised $45M from top-tier investors including Plural, Y Combinator and Google Ventures, and we're already profitable. Our customers include a major EV maker, a top AI lab and many of the worlds largest companies. The Grid isn't a prototype. It's live, scaling fast and delivering real revenue, and we're building the team that will scale it further.
What you'll do
- CircuitHub builds circuit boards on demand, every order different. Each day thousands of decisions are made: which orders run on which machines, which parts to buy and when, what to promise a customer and what to charge. You'll build the models behind those decisions.
- Plan the factory. Schedule orders, panels and machines across our factories for throughput and on-time delivery, and know days ahead when we will run out of work or capacity.
- Model the Grid. The Grid is our factory-scale robot: dozens of movers, gantries, printers and ovens. Model how work flows through it, find the bottlenecks, and tell us what the next machine or change is worth.
- Price and promise. Estimate what an order really costs in labour, machine time and parts, and help set prices and lead times that win work and make money.
- Buy smarter. Decide what parts and consumables to stock, when to order them, and how much risk of a shortage to accept.
- Put it into production. Your models don't live in a spreadsheet: they run every day, feed the planning and quoting systems, and get checked against what actually happened.
What we look for
- A quantitative background in operations research, applied maths, statistics, quantitative finance, economics or a similar field, and a record of models that changed real decisions.
- Optimisation: linear and integer programming, constraint programming, or heuristics, and judgement about when a simple rule beats a solver.
- Simulation and forecasting: building a model of a messy system, calibrating it to data and saying how far to trust it.
- Strong Python and SQL. You write code other people can run and rely on. You use coding agents to move faster and take full ownership of what they produce.
- Curiosity about how things are physically made. You'll spend time in our factories in the US and UK. Manufacturing experience is welcome but not required. If you have priced risk, optimised a portfolio or forecast demand, the problems here will feel familiar.
Location
Remote anywhere, or from our offices in London or Cambridge (UK) if you prefer, with regular visits to our factories in the UK and US.
Pay
This overview was written from the original listing to help you understand the role. Always confirm the specifics on the employer's application page.
Software Engineer, Operations Research arbeitnow Circuithub Remote · 11/5/2026 in Cambridge employer: Primetime
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StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Operations Research arbeitnow Circuithub Remote · 11/5/2026 in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Primetime or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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We think you need these skills to ace Software Engineer, Operations Research arbeitnow Circuithub Remote · 11/5/2026 in Cambridge
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 Primetime.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Primetime 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!
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How to prepare for a job interview at Primetime
✨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 Primetime 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.
