Senior Python Automation Engineer

Quest Global

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Job Summary

We are looking for a Python Automation Engineer to design and own modular, end-to-end benchmarking infrastructure for multiple hardware targets within a Wearables System Health function. The role is focused on removing manual effort from the benchmark lifecycle — test execution, instrumentation control, data collection, and result reporting should all run as scriptable, repeatable pipelines, with manual intervention required only for physical hardware setup changes.

Roles & Responsibilities

  • Design and develop Python-based test orchestration that automates the full benchmark lifecycle: test execution, data collection, and result reporting, end to end.
  • Build modular, reusable benchmarking infrastructure so that onboarding a new target requires minimal incremental effort.
  • Programmatically control lab instrumentation (power, timing, and performance measurement equipment) and capture results deterministically.
  • Produce structured, machine-readable results (JSON or equivalent) that are version able, diff-friendly, and support automated run-to-run and target-to-target comparison.
  • Deliver benchmarking data in a consumable format for product teams and architects to support next-generation silicon selection.
  • Ensure the automation pipeline is robust, observable, and maintainable, limiting manual steps to hardware setup changes only.
  • Create and maintain technical documentation for the framework and its usage.

We are known for our extraordinary people who make the impossible possible every day. Questions are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Required Skills (Technical / Functional)

  • Strong proficiency in Python for test orchestration, automation, and data-collection tooling.
  • Hands-on experience with embedded devices/targets — flashing firmware, running on-target tests, and retrieving results from hardware.
  • Experience controlling lab instrumentation / hardware programmatically (e.g., power analyzers, DAQs, oscilloscopes, serial / JTAG / SWD interfaces).
  • Experience designing structured, version able data formats (JSON or equivalent) and tooling for automated comparison.
  • Strong bias toward modular, reusable design that scales across multiple targets.

Good to Have

  • Background in performance / power benchmarking or hardware characterization.
  • Familiarity with CI-style automation for hardware-in-the-loop (HIL) testing.
  • Experience building reporting / dashboards that inform architecture or silicon decisions.

Work Experience

  • 5–8 years of relevant experience in Python automation, embedded test, or hardware characterization tooling.

Education

  • Bachelor's or Master's degree in Electronics, Electrical, Computer Engineering, Computer Science, or a related technical discipline.

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