Research, design, and develop algorithms and software systems for AI-driven CNC machining, including toolpath optimization, cutting strategies, and automated CAM workflows. Collaborate with manufacturing experts, data scientists, and software engineers to convert advanced concepts into reliable production software. The role emphasizes high-performance C++ development, computational geometry, numerical methods, optimization, and modern software engineering practices.
Who are CloudNC?
CloudNC is transforming global manufacturing with AI that accelerates CAM programming, maximizes factory output, and empowers machinists to deliver more.
Our core product, CAM Assist, speeds up CNC machining by tackling the most time-consuming and repetitive parts of the process, from machining strategy to toolpath generation.
It enables machinists to create effective programs in minutes, unlocking their full potential and helping shops increase throughput and improve consistency.
Today, CAM Assist is trusted by over 1,000 machine shops around the world to enhance their teams’ productivity, resolving skills shortages and helping them to deliver efficiently for their customers.
Founded in 2015, CloudNC consists of a world-class team combining expertise in computer science and physical manufacturing, based in our headquarters in London and our factory in Chelmsford.
The technology company is backed by leading venture capital firms Atomico and Episode 1 Ventures, alongside Autodesk and Lockheed Martin as strategic partners.
The role
As we continue to expand our Machining Strategy team, we’re looking for passionate, R&D-oriented Software Engineers to help us push the boundaries of what’s possible in manufacturing automation.
The role will involve researching, designing, and developing novel algorithms and software systems that enable our AI to make smarter machining decisions — from optimizing toolpaths and cutting strategies to automating complex CAM workflows. You’ll work closely with domain experts in manufacturing, data science, and software engineering to turn cutting-edge ideas into robust, production-ready solutions.
Why you?
To be successful in this role, you should thrive on tackling new challenges in a fast-paced environment — combining curiosity, experimentation, and hands-on implementation to turn complex problems into elegant solutions.
Collaboration excites you: you enjoy brainstorming with your team, exploring fresh approaches, and pushing technological boundaries, all while staying aligned with our product vision and roadmap.
Essential Experience
Benefits
Stock Options
Annual Performance Equity Award
36 days of annual leave including public holidays
Leading medical plan
Life Insurance
4 Weeks paid Sabbatical leave every 4 years
Enhanced primary, secondary and adoption parental pay & leave (maternity/paternity)
Monthly hackdays and quarterly hackathons
and more...
Equal Opportunities Statement
We are proud to be an equal opportunity employer, valuing individuality and embracing all people. The success of CloudNC is a result of diversity of thought. We recognise this comes from people truly belonging. We encourage different perspectives and skills to collaborate towards our mission - disrupting the manufacturing industry. We celebrate diversity and continually improve our inclusivity efforts.
Job requirements
CloudNC is transforming global manufacturing with AI that accelerates CAM programming, maximizes factory output, and empowers machinists to deliver more.
Our core product, CAM Assist, speeds up CNC machining by tackling the most time-consuming and repetitive parts of the process, from machining strategy to toolpath generation.
It enables machinists to create effective programs in minutes, unlocking their full potential and helping shops increase throughput and improve consistency.
Today, CAM Assist is trusted by over 1,000 machine shops around the world to enhance their teams’ productivity, resolving skills shortages and helping them to deliver efficiently for their customers.
Founded in 2015, CloudNC consists of a world-class team combining expertise in computer science and physical manufacturing, based in our headquarters in London and our factory in Chelmsford.
The technology company is backed by leading venture capital firms Atomico and Episode 1 Ventures, alongside Autodesk and Lockheed Martin as strategic partners.
The role
As we continue to expand our Machining Strategy team, we’re looking for passionate, R&D-oriented Software Engineers to help us push the boundaries of what’s possible in manufacturing automation.
The role will involve researching, designing, and developing novel algorithms and software systems that enable our AI to make smarter machining decisions — from optimizing toolpaths and cutting strategies to automating complex CAM workflows. You’ll work closely with domain experts in manufacturing, data science, and software engineering to turn cutting-edge ideas into robust, production-ready solutions.
Why you?
To be successful in this role, you should thrive on tackling new challenges in a fast-paced environment — combining curiosity, experimentation, and hands-on implementation to turn complex problems into elegant solutions.
Collaboration excites you: you enjoy brainstorming with your team, exploring fresh approaches, and pushing technological boundaries, all while staying aligned with our product vision and roadmap.
Essential Experience
- Strong C++ programming skills with a focus on writing clean, performant, and maintainable code.
- Experience in algorithm design and implementation, especially in domains such as computational geometry and numerical methods.
- Solid understanding of data structures and algorithmic complexity, with the ability to reason about performance trade-offs.
- Collaborative mindset — able to work closely with multidisciplinary teams including manufacturing experts, data scientists, and software engineers.
- Excellent communication skills, capable of articulating complex technical ideas clearly and constructively.
- Degree (or equivalent experience) in Computer Science, Mathematics, Physics, Engineering, or a closely related field.
- Background in computational geometry, CAD/CAM, CNC machining, or manufacturing process modelling.
- Familiarity with geometric kernels, CAD/CAM libraries, or simulation tools.
- Experience in high-performance computing, parallelisation, or GPU programming.
- Exposure to modern software practices such as CI/CD, code review, and automated testing.
- Experience with machine learning or optimisation techniques (e.g., reinforcement learning, heuristic optimisation, constraint solving).
Benefits
Stock Options
Annual Performance Equity Award
36 days of annual leave including public holidays
Leading medical plan
Life Insurance
4 Weeks paid Sabbatical leave every 4 years
Enhanced primary, secondary and adoption parental pay & leave (maternity/paternity)
Monthly hackdays and quarterly hackathons
and more...
Equal Opportunities Statement
We are proud to be an equal opportunity employer, valuing individuality and embracing all people. The success of CloudNC is a result of diversity of thought. We recognise this comes from people truly belonging. We encourage different perspectives and skills to collaborate towards our mission - disrupting the manufacturing industry. We celebrate diversity and continually improve our inclusivity efforts.
Job requirements
CloudNC London, England Office
1 Norton Folgate, London, United Kingdom, E1 6
CloudNC Chelmsford, England Office
10 Westway Retail Park, Chelmsford, United Kingdom, CM1 3FJ
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Manage strategic relationships and long-term growth for multiple global enterprise accounts. Develop account strategies and roadmaps, expand platform adoption, coordinate sales and support teams across regions, lead complex negotiations and global contracts, engage C-level stakeholders, and mobilize cross-functional resources to drive customer outcomes and recurring revenue growth.
Top Skills:
AWSDynatraceGCPInfrastructure-As-A-ServiceObservabilityPlatform-As-A-ServiceSecuritySoftware-As-A-Service
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Supports sales by delivering technical demonstrations, proof-of-concepts, cloud architecture guidance, RFIs and RFPs. Partners with sales teams, customers, channel partners, product management, and services teams to evaluate solutions and communicate Dynatrace’s observability value. Presents to executives and at industry events, troubleshoots technical issues, manages multiple opportunities, and provides customer feedback to improve products and market adoption.
Top Skills:
.NetAdvanced ObservabilityAnsibleApplication Performance ManagementAWSAzureCi/CdContainersCSSDevOpsDynatraceGCPGoHTMLJavaJavaScriptKubernetesLinuxNode.jsOpenshiftPHPPuppetServerlessSite Reliability EngineeringTerraformWindows
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and develop a team of 6–8 Mid-Market sellers serving UKI customers. Responsibilities include creating sales strategies, achieving revenue targets, coaching and mentoring sellers, recruiting Account Executives, setting performance goals, analyzing sales trends, improving sales processes, and collaborating with internal teams and partners. The manager will also build talent pipelines, manage key stakeholder relationships, and identify market growth opportunities.
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.


