Principal Engineer - Vehicle Supervisory Management Software

Matchtech
Birmingham
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Application Software Engineer - Degree, Node.js

Senior Principal Engineer

Principal Software Engineer

Principal Software Engineer - Remote (Edinburgh) - 100-120K

Principal Firmware Engineer (27311)

Principle Technologist - Chiswick 2 days - 118k

Job summary

Vehicle Systems Modeller (Matlab and Simulink), covering new control systems strategies for whole vehicle systems.

Key skills required for this role

Modelling of Vehicle Systems.

Important

Maltab, Simulink

Job description

About the Role

As the Technical Specialist in the Vehicle Supervisory Management Software team, a major and integral part of your role will be ensuring the successful delivery of our 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.

Requirements

Required


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.

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. Share

manages this role

Matchtech is a STEM Recruitment Specialist, with over 35 years’ experience

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.