Senior/Staff Applications Engineer - Embedded AI

Senior/Staff Applications Engineer - Embedded AI

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Axelera AI

At a Glance

  • Tasks: Develop cutting-edge AI applications and tools for real-world impact.
  • Company: Join a pioneering deep-tech startup with a global presence.
  • Benefits: Attractive compensation, flexible work options, and employee share opportunities.
  • Other info: Inclusive culture that values creativity and diversity.
  • Why this job: Be part of a dynamic team shaping the future of AI technology.
  • Qualifications: Experience in AI application development and strong problem-solving skills required.

The predicted salary is between 60000 - 80000 £ per year.

About Us

Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer.

Position Overview

The Applications team develops the customer-facing components of Axelera AI’s Voyager SDK, including low-code model deployment, end-to-end pipeline development and application integration and analytics. Customers use these tools to quickly evaluate, prototype and build complete production AI solutions accelerated by Axelera AI devices. The Applications team develops cutting-edge development tools with simple APIs that ensure the solutions deployed by our customers reach the highest levels of performance and accuracy available in the market. We are seeking skilled and innovative software engineers to help us scale the product to support a wider range of models, pipelines and end-customer use cases. This is a challenging but rewarding role which can cover a variety of tasks such as compiling high-level graphical representations of ML-based pipelines, optimizing memory usage and synchronization on heterogeneous hardware targets and writing low-level implementations of computer vision operators for specialised processing elements.

Key responsibilities:

  • Studying research papers, open-source code repositories and product documentation to deploy new models using the Voyager SDK, and evaluating their performance and accuracy.
  • Implementing image pre and post processing operators, collaborating with the compiler team to troubleshoot compilation issues, and writing decoders that transform inference tensors to metadata for ease of use by application developers.
  • Integrating popular industry-standard model frameworks within the SDK to facilitate low-code and no-code deployment of many customer models and datasets.
  • Defining metadata representations for common types of models (such as bounding boxes and keypoints), creating libraries for evaluating deployed model accuracy on Axelera AI hardware and creating libraries for visually rendering inference results.
  • Optimizing end-to-end pipeline latency and throughput, root causing any bottlenecks arising on supported hardware platforms, and developing profiling tools to help customers more easily analyse and understand bottlenecks in their own pipelines.
  • Writing and maintaining comprehensive product documentation and sharing knowledge with team members, promoting best practices and continuous improvement.

Qualifications:

  • BS/MS in Computer Science, Electrical Engineering or equivalent work experience in the semiconductor and/or AI industry.
  • Proven hands-on experience with edge deployment frameworks such as OpenVINO or TensorRT.
  • Familiarity with model optimisation techniques such as quantization, compression and pruning a plus.
  • Proficiency in AI application development using Python, with extensive experience in ML libraries such as PyTorch and TensorFlow.
  • Demonstrated ability to build and deploy end-to-end pipelines with quantized models.
  • Experience in training models using transfer learning to leverage pre-trained models for new tasks.
  • Experience with MLIR and ONNXRuntime a plus.
  • Strong problem-solving skills and an ability to troubleshoot and debug complex multi-dimensional problems.
  • Proficient Linux skills.
  • Practical knowledge of agile development using tools such as Jira, Git and GitHub.
  • Self-motivated with the ability to thrive in a fast-paced collaborative startup environment.

Location

We offer a flexible working arrangement, with options to work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity, work fully remotely from any European country (incl. the UK) you are already in, or relocate with us and work from Italy (Florence or Milan), Belgium (Leuven) or the Netherlands (Amsterdam or Eindhoven). Kindly note that priority will be given to candidates who are interested in being based in Bavaria (Munich), Belgium or Italy.

What we offer

This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

Senior/Staff Applications Engineer - Embedded AI employer: Axelera AI

Axelera AI is an exceptional employer that fosters a culture of innovation and collaboration, offering employees the chance to work on cutting-edge AI technology in a dynamic, international environment. With flexible working arrangements across multiple European locations, competitive compensation packages, and a strong commitment to diversity and inclusion, Axelera AI empowers its team members to grow and thrive while making a meaningful impact on the future of AI.

Axelera AI

Contact Details:

Axelera AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior/Staff Applications Engineer - Embedded AI

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Axelera AI. A personal introduction can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and embedded systems. This will give you an edge and demonstrate your hands-on experience to the hiring team.

Tip Number 3

Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you tackle complex issues!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Axelera AI team.

We think you need these skills to ace Senior/Staff Applications Engineer - Embedded AI

Embedded AI Development
Low-Code Model Deployment
End-to-End Pipeline Development
Image Pre and Post Processing
Model Optimisation Techniques
Python Programming
Machine Learning Libraries (PyTorch, TensorFlow)

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with AI application development and any relevant projects that showcase your skills. We want to see how you fit into our mission!

Show Off Your Skills:Don’t hold back on showcasing your technical skills! Mention your proficiency in Python, ML libraries, and any edge deployment frameworks you've worked with. We love seeing candidates who can demonstrate their hands-on experience.

Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Axelera AI

Know Your Stuff

Make sure you brush up on the latest in AI and embedded systems. Familiarise yourself with Axelera AI's Metis™ AI Platform and how it enhances performance. Being able to discuss specific features or recent advancements will show your genuine interest and expertise.

Showcase Your Projects

Prepare to talk about your previous projects, especially those involving edge deployment frameworks like OpenVINO or TensorRT. Highlight any experience with model optimisation techniques and be ready to discuss how you tackled challenges in your past work.

Ask Smart Questions

Come prepared with insightful questions about the Applications team’s current projects or future goals. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.

Demonstrate Team Spirit

Axelera AI values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how you’ve contributed to a positive team environment and how you handle feedback and knowledge sharing.