At a Glance
- Tasks: Lead the development of embedded Linux and AI-powered camera products from prototype to production.
- Company: Join a dynamic tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a supportive team that values integrity and innovation.
- Why this job: Make a real impact in the exciting field of AI and embedded systems.
- Qualifications: 5+ years in embedded Linux, strong C/C++ skills, and experience with computer vision models.
The predicted salary is between 60000 - 80000 £ per year.
The Senior Embedded Linux & Vision AI Engineer leads the technical development of Trakm8's embedded Linux device platforms and AI-powered camera products, taking them from working prototypes through to reliable, certified, production devices deployed in customer fleets. The role combines deep embedded Linux platform work (BSP, kernel, drivers, build systems, OTA updates) with the deployment and optimisation of computer vision models on resource-constrained edge hardware.
As the senior engineer in this domain, the postholder sets the technical direction for embedded Linux and vision AI within the Devices team, raises the capability of colleagues through mentoring and documented practices, and ensures this critical area is never dependent on a single person.
Key Responsibilities:
- Embedded Linux Platform
- Own the embedded Linux platform for camera and device products: BSP maintenance, kernel and driver work, and build systems (Yocto or Buildroot)
- Design and maintain robust OTA update, provisioning and device management mechanisms
- Optimise boot time, power management and system reliability for vehicle-mounted, battery-conscious devices
- Vision AI & Camera Systems
- Integrate, optimise and deploy computer vision models on edge hardware (TensorFlow Lite, ONNX Runtime), including quantisation and hardware acceleration (NPU/GPU/DSP)
- Develop and tune the camera pipeline (V4L2, ISP configuration) for automotive imaging conditions
- Define and track accuracy and performance metrics for vision features, and improve them release on release
- Productisation & Delivery
- Take camera and device products from prototype through field trials to production release
- Support certification, type approval and manufacturing test for new devices
- Work with hardware, cloud and platform teams to deliver complete end-to-end solutions
- Quality & Security
- Implement secure boot, signed updates and device hardening in line with UN R155/R156 requirements
- Establish automated testing and CI for firmware images and model updates
- Ensure releases meet reliability, safety and regulatory expectations for automotive devices
- Technical Leadership & Mentoring
- Set standards and documented practices for embedded Linux and vision AI development
- Mentor and develop other engineers in the team, sharing knowledge deliberately to remove single points of failure
- Contribute to technical strategy and roadmaps with the Devices Team Lead, Architecture function and CPTO
- Champion AI-assisted development tools and modern engineering practice
Skills / Experience / Competency Required:
- Essential
- 5+ years of embedded Linux development experience: kernel, drivers, BSP work and build systems (Yocto or Buildroot)
- Strong C and C++ skills, with Python for tooling, testing and ML workflows
- Proven experience deploying and optimising ML/computer vision models on edge hardware, including quantisation and hardware acceleration (e.g. TensorFlow Lite, ONNX Runtime)
- Experience with computer vision frameworks and models (OpenCV, YOLO-class detectors)
- Experience with camera subsystems and pipelines (V4L2, ISP tuning, MIPI-CSI)
- Track record of taking embedded products from prototype to production and field deployment
- Ability to define and work to measurable accuracy, performance and power targets
- Clear communicator, able to explain complex technical trade-offs to technical and non-technical audiences
- Desirable
- Automotive experience: CAN/vehicle protocols, ISO 26262, ASPICE, UN R155/R156
- Engineering leadership or line management experience (relevant to the combined Team Lead option)
- Cellular IoT (LTE-M, NB-IoT, 5G) and wireless connectivity experience
- Hardware security and cryptographic implementations (secure boot, secure elements)
- MLOps for edge devices: model versioning, telemetry-driven retraining, fleet rollout of models
- Experience with driver monitoring, ADAS or other automotive vision applications
Personal Attributes:
- Technically credible senior engineer who leads by example and earns trust quickly
- Pragmatic, able to balance research-quality ambition with shipping reliable products
- Generous with knowledge; mentors and documents by default
- Proactive problem-solver who anticipates risks and takes ownership of outcomes
- Resilient and calm under pressure, comfortable with ambiguity and hard technical problems
- Innovative and curious, continually seeking better ways of working and embracing new technologies
- Quality-driven, with high personal standards and attention to detail
Our Values:
- Caring & Committed – We show up for each other and deliver with dedication
- Make a Difference – We create impact that matters
- Relentless – We push forward until we succeed
- Do the Right Thing – We choose integrity every time
- Joy of the Journey – We enjoy the ride and celebrate along the way
Health & Safety:
As a Trakm8 Group employee, you have the following H&S responsibilities:
- To comply with the Group H&S policy and procedures
- To take care of your own health and safety and that of people who may be affected by what you do (or what you do not do)
- To co-operate with others on health and safety
- To not interfere with, or misuse, anything provided for your health, safety or welfare
- To wear/use the correct Protective Equipment at all times
- To follow the training you have received at all times
Information Security:
As a Trakm8 Group employee, you have the following Information Security responsibilities:
- To follow the Group Information Security policies at all times;
- To follow the Trakm8 Secure Development Policy at all times;
- To ensure that passwords under your responsibility are kept confidential;
- To keep Group or Company information secure and confidential at all times;
- To inform your manager immediately if you detect, suspect or witness an incident that may be a breach of security
This role requires screening in the below areas:
- References
- Pre-Employment Credit Check
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. All job descriptions are subject to possible modifications in line with the needs of the business.
Senior Embedded Linux & Vision AI Engineer employer: Omegro
Trakm8 is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving fleet telematics sector. With a strong focus on employee growth, we provide ample opportunities for professional development and leadership training, ensuring that our team members thrive in their careers while enjoying the flexibility of remote work. Join us to be part of a forward-thinking company that values your contributions and supports your journey towards success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Embedded Linux & Vision AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Omegro or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Omegro.
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We think you need these skills to ace Senior Embedded Linux & Vision AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Omegro.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Omegro and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Omegro
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Omegro uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
