DeepJudgeZurich HQ1h ago
Axelera AIPosted today
Staff/Principal Software Engineer – AI Applications at Axelera AI scores 63 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
About Us
Axelera AI is not your regular deep-tech company. 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 five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 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.
Are you up for the challenge?
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 an experienced, technically outstanding software engineer to take ownership of a significant area of the Applications stack. This is a Staff/Principal-level role for someone who can identify and execute on opportunities requiring strong technical judgement and difficult prioritisation, push the boundaries of what’s technically achievable, and create reusable architectures that raise the bar for the wider team. You will operate with significant autonomy, navigating ambiguity where clear playbooks don’t yet exist – whether that’s compiling high-level graphical representations of ML-based pipelines, optimizing memory usage and synchronization on heterogeneous hardware targets, or architecting low-level implementations of computer vision operators for specialised processing elements – and will help shape the technical roadmap for the Applications team in partnership with commercial and product stakeholders.
Key responsibilities:
Owning the end-to-end technical strategy for a major area of the Voyager SDK’s application layer – translating research papers, open-source repositories and product requirements into a coherent roadmap for model deployment, pipeline development and application integration
Setting technical direction for image pre/post processing operators and decoders, creating reusable architectures that raise the bar for the rest of the team, and partnering with the compiler team to resolve the most difficult compilation issues
Driving the integration of industry-standard model frameworks into the SDK, defining reusable libraries and architecture used by the team and by customers for low-code and no-code deployment of models and datasets
Defining company-wide metadata representations for common model types (such as bounding boxes and keypoints), and owning the libraries used across the team to evaluate deployed model accuracy and visually render inference results on Axelera AI hardware
Taking accountability for end-to-end pipeline latency and throughput across supported hardware platforms, root-causing the hardest bottlenecks, and building profiling tools and frameworks that raise the bar for how the team and customers diagnose performance issues
Representing the Applications team’s technical capabilities to business stakeholders and, where relevant, to customers and the industry; mentoring and developing other engineers; and driving documentation standards and best practices across the team
Qualifications:
BS/MS in Computer Science, Electrical Engineering or equivalent, with a substantial track record (typically 8+ years) of hands-on experience in the semiconductor and/or AI industry
Deep, hands-on expertise with edge deployment frameworks such as OpenVINO or TensorRT, with a demonstrated ability to solve problems of significant technical difficulty in this space
Experience with GPU computing APIs such as OpenCL and Vulkan
Strong track record applying model optimisation techniques such as quantization, compression and pruning
Expert-level proficiency in AI application development using Python, with extensive experience in ML libraries such as PyTorch and TensorFlow
Expert-level proficiency in Python/C++
Demonstrated ability to architect, build and deploy end-to-end pipelines with quantized models at scale, and to create reusable frameworks that others can build on
Experience in training models using transfer learning to leverage pre-trained models for new tasks
Experience with MLIR and ONNXRuntime a plus
A track record of navigating deep ambiguity and delivering outcomes without clear playbooks, exercising sound technical judgement under pressure on complex, multi-dimensional problems
Strong communication and influencing skills, with experience navigating high-stakes conversations with senior technical and business stakeholders, and representing technical work externally to customers or industry
Experience mentoring and developing other engineers, and raising the technical bar for a team
Proficient Linux skills
Practical knowledge of agile development using tools such as Jira, Git and GitHub
Self-motivated, with the ability to set technical direction and thrive with significant autonomy 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, Zurich in Switzerland, 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.
Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).
Kindly note that priority will be given to candidates who are [interested in being] based in Bavaria (Germany), 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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Computer Vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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