Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Firmware Engineer (Hiring Immediately)

Placed
Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Scientist, NGS Biostatistician

Principal Data Engineer/Architect

Principal Statistician

Principal Statistician

Principal Statistician

Principal Statistician

Senior/Principal Software-Firmware Engineer | Cambridge | Onsite | up to £80k DOE


Are you an experienced Software/Firmware Engineer with Low Level & Bare Metal experience? Do you have experience in the Automotive and/or Medical Devices sector? Do you want to join a scaling company working on the cutting edge of Sensor technology?


Then this might just be the role for you!


We are working with an industry leading sensor company who are looking to onboard a Senior/Principal Software/Firmware Engineer to assist on some critical projects within the Automotive and Medical Devices sector.


Responsibilities/Requirements:

  • Experience writing compliant firmware with ISO 9001:2015 (QMS), IEC 62304:2006 (Medical Devices) and/or ISO 26262:201 (Vehicle Safety).
  • Working in a multidisciplinary team of Test, Hardware Applications and Data Science Engineers.
  • Requirements capture & analysis.
  • Design and develop functional code alongside existing architecture.
  • Implement new sensing applications alongside Data Science team.
  • Firmware design & code reviews, testing, debugging & documentation.
  • Building firmware for different target processors and application design variants.
  • Development of bare metal, real-time firmware in C for ARM-based microcontrollers or ASICs.
  • Experience with ADCs, DACs and interfaces such as SPI, I2C and CAN.
  • Experience with STM32 and/or EFM32.
  • Experience with JTAG, Keil, IAR, STM32CubeMX and Eclipse/gnu.
  • Experience with automate3d testing for multiple targets.
  • Programming experience with Python.


What’s in it for you?

  • Up to £80k DOE.
  • Up to 10% bonus (company and personal performance).
  • 3% employer pension contribution.
  • Bupa Cash Plan.
  • Private Medical insurance.
  • Group Life Insurance (up to 4 x salary).
  • 25 days holiday plus bank holidays.
  • Support for relocation.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.