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Principal Analog Verification Engineer

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Mach42
Full Time position
Listed on 2026-02-24
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer, Software Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Join our team developing cutting-edge deep learning technology accelerating the verification of analog circuits. The successful candidate will have an important role in future product development and the company's long-term vision for its technology. The role comes with a competitive compensation package including early equity options in a fast-growing company. This role supports a hybrid working model.

Mach
42 is a spin‑out company from the University of Oxford, founded by world‑class scientists and engineers.

Responsibilities

As a Principal Analog Verification Engineer, the successful candidate will be expected to:

  • Drive the creation of an industry‑leading machine‑learning based analog verification flow as part of our product development.
  • Create and simulate transistor‑level circuits for use by the Mach
    42 machine learning team.
  • Debug and resolve complex simulation and modelling issues.
  • Engage with our strategic partners to identify solutions leveraging our AI technology.
Key requirements
  • Master’s degree or bachelor’s degree in computer or electronics engineering with 10 years or more of relevant industry experience in the power management circuit design.
  • Expertise in SPICE simulation such as Spectre® and Cadence ADE.
  • Verilog‑A model development at both block and subsystem/system level.
  • Strong understanding of analog design circuits (e.g. bandgap references, LDOs, ADCs, DACs, PLLs (Principal Engineer level)).
  • Excellent problem‑solving skills and attention to detail.
  • Strong written and oral communication skills.
  • Outstanding team working/collaboration skills.
Preferred qualifications
  • Knowledge of the EDA / Semiconductor industry, in particular analog design experience.
  • Passion for exploring new applications of deep learning in industry.
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