National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Powertrain Software Engineer

Chelmsley Wood
1 month ago
Applications closed

As the Senior/Principal Engineer in the Vehicle Supervisory Management Software team, a major and integral part of your role will be ensuring the successful delivery of Powertrain & Vehicle control software, covering both platform and applications for different Powertrain Architectures (DHT, REEV, BEV).
You will also support designing new control system strategies with smart technologies in topics like Thermal Management, 4WD Torque Split Strategy, Energy Management, Predictive Features etc and leading the team to deliver software based on those.
This role will require you to work with the wider cross-functional teams to develop a good understanding of various powertrain technologies and, to communicate clearly with non-software domain engineers.
Powertrain Software Engineer Role:
Duties & Responsibilities
Prepare Technical Roadmap & Lead New Function Development.
Prepare technical roadmap for the subject area.
Develop and design new functions.
Support SW Architect with ideas and designs to help support move to centralised E/E architectures.
Review and approve work products created by the team.
Ensure architectural integrity of software solutions and act as the technical authority for supervisory controller functions.
Provide ongoing assessment of software design processes and optimise changes as needed.
Contribute to Advanced Research
Support advanced SW development including machine learning and big data features.
Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy.
Support software platform architectures design and optimisation.
Supply software to support the developments of smart and zero-carbon powertrain components.
Support and Lead Benchmarking exercises to understand competition.
Collaborate Across Departments
Collaborate with Calibration & Vehicle Integration Team to deliver fully calibrated functions to vehicles.
Collaborate with Simulation teams and develop strategies to improve electrical and thermal efficiencies of vehicles.
Collaborate with HQ teams and coach engineers to define the customer value of technical solutions.
Interface and collaborate with software team lead and colleagues based in China HQ.
Powertrain Software Engineer Requirements:

  • Bachelor’s degree in engineering, computer science, maths or physics.
  • At least 5 years of experience developing and implementing software for Powertrain & Vehicle Supervisory Controllers.
  • Knowledge on topics like Torque Management, Traction Management & Thermal Management.
  • Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies.
  • An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits.
  • An individual who is resilient, energetic and enthusiastic, responding constructively to new ideas and changing environments.
  • Experience in designing Safety Functions for Powertrain Supervisory Controllers with particular focus and expertise on topics like Torque Management, Traction Management & Thermal Management.
  • Expert understanding of model-based software development with MATLAB / Simulink.
  • Good working knowledge of software development processes, workflows, and standards e.g., Auto SPICE.
  • Good working knowledge of software version control tools e.g., Git / Subversion / Perforce.
  • Experience of designing and applying formal software architectures.
  • Capable of delivering high-level technical presentations to senior management.
  • Ability to prioritise multiple work streams in a dynamic and changing environment.
  • Occasional travel to other CA sites, on development trips and to visit suppliers is a requirement
    Desirable:
  • Practical knowledge of V-cycle and Agile development methodologies.
  • Experience in delivering mass-production automotive embedded software projects.
  • Experience in software for safety critical systems.
  • Experience in DevOps tool chain and implementation.
  • Experience of software testing and quality metrics (coverage analysis, complexity analysis).
  • Experience with automotive communication protocols e.g. CAN / CAN FD / UDS.
  • Knowledge of machine learning and big data algorithms and implementations.
    Benefits:
    Our Client offers a competitive basic that is open to negotiation, plus a Bonus Scheme, Healthcare, Pension and free Lunches. Relocation is also offered.
    Applications:
    This vacancy is only available to Candidates with relevant experience as detailed in the job description. Due to volume of applications, we are unable to respond to applicants who do not possess the required skills and experience. Recent Graduates who do not have the required level of industry experience need not apply.
    Candidates must be authorised to work in the country where this role is located BEFORE making an application
National AI Awards 2025

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.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.