Powertrain Software Engineer

Chelmsley Wood
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analytics Engineer

Head of Innovation

Data Architect

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.