Software Engineer

microTECH Global Limited; Ipswich; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

microTECH Global LTD is seeking a Software Engineer in Ipswich to join its on-site design team working on ML-driven simulation and optimization for advanced semiconductor projects. The role covers model building, full simulation automation, and data-driven refinement, requiring strong Python skills, ML expertise, and excellent communication for reporting results to cross-functional teams.

Applicants should hold a PhD in Computing Science, Physics, or Electrical/Electronic Engineering and

Qualifications

• PhD required in Computing Science, Physics, Electrical or Electronic Engineering or related field.
• Strong experience with machine learning and collaboration.
• Excellent data analysis, reporting and clear communication of complex results.

Responsibilities

• Develop ML-driven models and simulations.
• Build and automate simulation workflows from model to results.
• Analyze data and correlate with design variants to refine models.

Skills

Machine learning

Data analysis

Python

Communication skills

Report writing

Presentation skills

Education

PhD in Computing Science / Physics / EEE

Tools

Python

Job description

Job Title: Software Engineer

Location: Ipswich, UK

Type: Permanent

Our client are a global semiconductor company.

The client require candidates to work on-site full time and can’t provide sponsorship for this position.

Responsibilities:

We are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques.

The role will be working in the design team alongside our device design experts using a range of tools and techniques.

This role will span from model building through full simulation automation and optimization.

The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design.

Automation of test data analysis and correlation to design variants is also necessary to re-calibrate and refine the models.

Key Requirements:

A PhD in Computing Science, Physics, Electrical or Electronic Engineering, or a related engineering discipline.

Deep knowledge and implementation of machine learning with examples of collaborative working

Exceptional skills in data analysis, along with outstanding presentation and communication abilities. Report writing enabling clear and impactful dissemination of complex information.

Experienced in Python or similar programming languages for efficient simulation, automation and data analysis.

Ability to build, document and deploy modelling and simulation tools.