Engineering Manager, Scientific Software

Infinitesima Ltd; Abingdon (VA); Híbrido; USD 93.000 - 106.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Death in service and private health

EMI Share scheme

Annual salary review

Descripción de la vacante

Infinitesima Ltd in Abingdon, UK, is seeking an Engineering Manager for the Data Analysis team that builds the image-analysis application turning AFM scan data into 3D measurements. You will lead cross-functional engineers, shape software strategy and ensure robust, offline-capable software within a fab environment.

The role combines hands-on technical leadership with people management, mentoring engineers and coordinating with R&D, Systems Engineering and Product teams.

Formación

• Proven experience leading and developing technical teams, including appraisals and recruitment.
• Strong hands-on software background, ideally in image processing, computer vision or scientific data analysis.
• Proficiency in Python development with practical exposure to Agile/Lean practices.
• Solid understanding of software development lifecycle and best practices.
• Experience working with external partners or suppliers.
• Excellent communication skills in English and collaborative approach.

Responsabilidades

• Lead, mentor and develop a team of scientific software engineers to deliver reliable software in a time-sensitive environment.
• Own the team's software strategy, shaping image-processing algorithms, architecture and tooling.
• Coach team members through 1:1s, appraisals and career development; manage hiring.
• Plan, track and report progress with project leads and align with wider programmes.
• Balance technical debt with delivery speed and long-term maintainability.
• Improve engineering processes using Agile and Lean practices.

Conocimientos

Team leadership

Python development

Image processing

Agile/Lean

Communication in English

Recruitment

Project management

External partnerships

Herramientas

Python

RabbitMQ

Descripción del empleo

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

• £70,000 - £80,000 (depending on experience)

• 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.

Team Leadership & Delivery

• 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

Collaboration

• 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

• Project management experience

• 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 AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not 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.