AI​/ML Compiler Engineer; f​/m​/d

Responsibilities

• Evaluate and develop next‑generation compiler technology for AI/ML workloads.
• Align NXP business line requirements and identify commonalities for AI/ML compiler technology.
• Analyze, adapt, and extend the compilation flow of AI/ML compiler frameworks such as MLIR and IREE with respect to identified requirements.
• Develop the integration of custom Neural Processing Units (NPUs) into AI/ML compiler frameworks.
• Align the integration of the developed, adapted, and extended compiler frameworks into NXP’s AI tooling.
• Communicate and continuously align development with business line interests and needs.
• Maintain a methodological approach for tracking state‑of‑the‑art developments in relevant fields.
• Engage in strong interaction with NXP partners in business lines and central organizations.

• University degree: PhD in Computer Science with significant exposure to Machine Learning, Edge AI, and Embedded Systems.
• 1+ years of experience in software and hardware engineering in industry using standard development tools (e.g., git, Bitbucket, unit‑test driven development, CI/CD, Docker).
• Excellent track record of peer‑reviewed publications and contributions to embedded machine learning and Edge AI, including hardware/software/algorithm co‑design.
• Strong experience designing neural processing units (NPUs) and AI/ML‑enabled dedicated processor architectures.
• Very strong programming skills in C++ and Python.
• Affinity and experience with embedded processors, software, and machine learning accelerators.
• Broad experience with operating systems (GNU/Linux), embedded systems, and development boards.
• Capability to work independently and accurately, coupled with strong critical and analytical thinking.

We aim to create an inclusive work environment and we will not tolerate racism, discrimination, or harassment of any kind. We have programs in place focused on diversity, inclusion, and equality.