At a Glance
- Tasks: Develop and support software for cutting-edge embedded AI platforms in automotive and robotics.
- Company: Join a leading tech company focused on innovative Physical AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Work on groundbreaking technologies that shape the future of intelligent machines.
- Qualifications: Strong experience in C/C++, Python, and Linux; passion for embedded systems.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a Software Engineer to join our Physical AI team, working on next-generation platforms for automotive and robotics applications. This role sits at the intersection of embedded systems, high-performance computing, AI, and robotics, offering the opportunity to work across the full hardware and software stack.
A key initial responsibility will be supporting the development, integration, and documentation of the RAVE2 platform, ensuring that technical information is clearly captured and communicated for both internal and external stakeholders. As the platform and team evolve, there will be opportunities to expand into embedded AI inference, computer vision pipelines, robotics software development, graphics technologies, and simulation environments used to develop and validate intelligent systems.
This position is ideal for an engineer with a strong Linux and embedded software background who enjoys working close to the hardware while contributing to innovative AI‐enabled solutions for real-world applications.
Key Responsibilities- Develop, maintain, and support software for embedded Linux platforms.
- Contribute to the design, integration, validation, and optimisation of embedded systems.
- Create and maintain high-quality technical documentation for the RAVE2 platform and associated technologies.
- Collaborate with hardware, FPGA, systems, AI, and software engineering teams to deliver integrated solutions.
- Support platform bring‐up, debugging, performance analysis, and system validation activities.
- Investigate and resolve software, hardware, and system‐level issues across complex embedded environments.
- Contribute to the development of engineering best practices, documentation standards, and development processes.
- Support future development activities involving embedded AI inference, computer vision, robotics, graphics, and simulation technologies.
- Strong software development experience using C/C++ and/or Python.
- Solid experience working with Linux operating systems and Linux‐based development environments.
- Deep understanding of embedded systems architecture and software development.
- Experience debugging complex software and system‐level issues.
- Understanding of low‐level software concepts, hardware/software interactions, and system integration.
- Strong written and verbal communication skills, with the ability to produce clear and effective technical documentation.
- Ability to work effectively within multidisciplinary engineering teams.
- Experience with FPGA‐based systems and hardware acceleration technologies.
- Understanding of SoCs (System‐on‐Chip) and ASIC‐based platforms.
- Familiarity with Real‐Time Operating Systems (RTOS).
- Knowledge of AUTOSAR and automotive software architectures.
- Experience with graphics and visualisation software stacks, including GPU‐accelerated rendering and display pipelines.
- Familiarity with graphics technologies such as OpenGL, Vulkan, Wayland, or related Linux graphics frameworks.
- Experience developing applications and systems using ROS 2 (Robot Operating System 2).
- Understanding of robotics software architectures, middleware, and sensor integration.
- Experience with simulation environments and virtual development platforms.
- Familiarity with simulation frameworks such as Gazebo, Isaac Sim, CARLA, or similar technologies.
- Understanding of AI inference deployment on embedded platforms.
- Experience with computer vision frameworks, perception systems, and vision processing pipelines.
- Experience within automotive, robotics, autonomous systems, or related industries.
- Opportunity to work on cutting‐edge Physical AI technologies for automotive and robotics applications.
- Exposure to advanced embedded computing platforms, AI acceleration technologies, and heterogeneous computing architectures.
- Collaboration with experts across software, hardware, AI, systems engineering, and robotics disciplines.
- Opportunities to develop skills in embedded AI, computer vision, graphics, robotics software, and simulation technologies.
- A supportive and innovative engineering environment focused on solving complex real‐world challenges.
Our Physical AI team develops technologies that enable intelligent machines to perceive, understand, and interact with the physical world. We work across embedded systems, AI, robotics, graphics, and simulation to build platforms that power the next generation of automotive and robotic applications.
Software Development Engineer - Physical AI in London employer: Advanced Micro Devices
Join a forward-thinking team at the forefront of Physical AI technology, where you'll have the chance to work on innovative automotive and robotics applications in a collaborative and inclusive environment. With a strong focus on employee growth, we offer opportunities to develop your skills in embedded systems, AI, and robotics while contributing to meaningful projects that tackle real-world challenges. Our supportive culture encourages creativity and teamwork, making it an excellent place for engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Software Development Engineer - Physical AI in London
✨Join Local Tech Meetups
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We think you need these skills to ace Software Development Engineer - Physical AI in London
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 Advanced Micro Devices.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Advanced Micro Devices 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 Advanced Micro Devices
✨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 Advanced Micro Devices 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.
