Engineering Manager, Scientific Software

Infinitesima; Abingdon; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Death in service

Private health care benefits

Discretionary annual bonus

EMI Share scheme

Job summary

Infinitesima in Abingdon, UK seeks an Engineering Manager, Scientific Software to lead the Data Analysis team, turning raw AFM data into robust software. You’ll shape software strategy, guide image‑processing algorithms, and deliver high‑quality, on‑premise solutions in a fast‑paced, technology‑frontier environment.

The role blends hands‑on technical leadership with people management, balancing delivery with maintainability while collaborating across R&D, Systems Engineering, and Applications

Qualifications

• Experience leading and developing technical teams, including appraisals and recruitment.
• Strong Python development skills with industry experience.
• Hands-on background in software development, ideally including image processing or scientific data analysis.
• Practical experience using Agile and Lean methodologies.
• Clear understanding of the software development lifecycle and best practices.
• Experience working with external partners or suppliers.

Responsibilities

• Lead and mentor a team of scientific software engineers to deliver high‑quality, fault‑tolerant software.
• Own the team’s software strategy and evolve algorithms, architecture and tooling.
• Manage 1:1s, appraisals, hiring and career development.
• Plan, track and report progress with project leads; integrate into wider programmes.
• Balance delivery speed with long‑term maintainability and manage technical debt.
• Improve engineering processes using Agile and Lean practices.
• Stays hands‑on where capacity allows and guides key technical decisions.

Skills

People leadership

Python

Image processing

Computer vision

Scientific data analysis

Agile/Lean

Software development

Technical leadership

Tools

RabbitMQ

Job description

Engineering Manager, Scientific Software

Abingdon, UK

Engineering Manager, Scientific Software

(Senior Data Analyst Manager)

Do you enjoy leading engineers who turn raw scientific data into software the rest of the business can rely on?

We're looking for an experienced Engineering Manager to lead our Data Analysis team - so named for what the product delivers to customers, though the team itself is a software and algorithm engineering team - building the applications that turn raw atomic force microscope (AFM) scan data into the 3D measurements our customers depend on. This is a pivotal role combining hands‑on technical leadership with people management - shaping our software strategy and driving delivery across a growing, cross‑functional organisation. Our software runs inside semiconductor fabs and processes real 3D height‑profile data captured at atomic scale, so this role suits someone who enjoys working at the forefront of technology on complex problems, scientific data, and software that must be robust, reliable, and trusted by customers.

Reward and Benefits

• Death in service and private health care benefits, discretionary annual bonus scheme and a generous EMI Share scheme
• Annual salary review and the opportunity to work on genuinely innovative semiconductor technology

About the role

You'll lead the team that builds our image-analysis application: consolidating multiple data streams from the microscope, flattening and correcting scan images, recognising scanned features and measuring their height, and running statistical analysis across large sets of measurements. Because the software runs inside a fab with no internet access, the team owns the full picture - there's no cloud service to lean on, so the algorithms, the application, and the visualisation all must hold up entirely on their own.

• Leading, mentoring and developing a team of scientific software engineers, enabling them to deliver high‑quality, fault‑tolerant software in a time‑sensitive product environment
• Owning the team’s software strategy, and shaping how the team works and how our image‑processing algorithms, application architecture and tooling evolve
• Coaching team members through 1:1s, appraisals, hiring and career development
• Working with project leads to plan, track and report progress, and integrating the team's work into wider programme plans
• Managing technical debt pragmatically, balancing delivery speed against long‑term maintainability
• Improving engineering processes so the team can keep getting better, drawing on Agile and Lean practices

Technical Involvement

• Staying hands‑on technically where capacity allows - reviewing code, unblocking algorithm and architecture decisions, and staying close to the data
• Working closely with the R&D team to translate good image processing methodology into quality product. Guiding decisions on image‑processing approaches (flattening, feature recognition and masking, skew correction, height measurement etc.) and on the statistical analysis of measurement data
• Ensuring the application, its communication interface (over RabbitMQ) and its data visualisation are engineered to run reliably in an offline, on‑premises fab environment with no cloud dependency
• Collaborating closely with the Software Project Lead and R&D, Systems Engineering, Product and Applications teams to keep priorities aligned
• Managing external partners where they support delivery

A note about AI: we're adopting agentic development with Claude, but our engineers retain full ownership and accountability of the code they ship - whether they wrote it or generated it. AI is a tool that amplifies engineering expertise, not a substitute for it.

Who we are looking for

To succeed as an Engineering Manager, Scientific Software, we do need you to bring:

• Experience leading and developing technical teams, including appraisals, career development and recruitment
• A strong, hands‑on background in software development, ideally including image processing, computer vision or scientific data analysis
• Strong Python development skills with industry experience
• Practical experience using Agile and Lean methodologies
• Good understanding of the software development lifecycle and best practice
• Experience working with external partners or suppliers
• Clear communication skills in English, and a collaborative, pragmatic, self‑motivated approach
• 5+ years’ experience in software development, and 5+ years' experience in technical leadership or people management

Nice to have

• Experience developing software for processing and visualising 3D imaging or scientific data
• Background in metrology, microscopy, semiconductors or other complex engineering products
• Experience from another scientific or technical discipline, backed by strong software experience
• Experience using AI‑assisted or agentic coding tools (e.g. GitHub Copilot, Claude Code) to improve development speed and quality in a professional setting

A bit about us:

Infinitesima is a privately owned company founded in 2001, as a spin‑out of the University of Bristol, by CTO Professor Andrew Humphris. Our dynamic team of scientists and engineers is focussed on enabling the next generation of semiconductor devices through delivery of innovative products to customers around the world.

Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive.If you require adjustments to take part in the recruitment process, please let us know, we’ll do our best to support you.

Location and working pattern:

We offer flexible, hybrid working from day one, where possible. During your first three months with us, we ask for 4 days per week on site here at Abingdon, with 1 day remote. After probation, this typically settles to around a 3:2 split between office and remote working.

A note on how we use AI:

We use AIonly to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI doesnot take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you.