Deep Learning Compiler Engineer

Job Description

You will be part of a high-performance platform engineering team focused on optimizing and deploying advanced neural networks on a next-generation compute architecture. This role sits at the intersection of machine learning, systems, and algorithm design, with a strong focus on extracting maximum performance from hardware.

You will be responsible for:

• Driving the lowering and optimization of cutting-edge deep neural networks on a specialised compute platform
• Applying mathematical and algorithmic optimisation techniques to solve complex, large-scale problems
• Designing heuristics and optimisation strategies for computationally intensive and NP-hard challenges
• Collaborating with software teams to optimise graph-based execution and performance
• Continuously improving performance through deep understanding of hardware-software interaction

Ideal Candidate

• You have an MS or PhD in Computer Science or a related field with 8+ years of industry experience
• You have a strong background in numerical and/or algorithmic optimisation
• You have experience designing heuristics for complex or NP-hard problems
• You have knowledge of both classical and machine learning algorithms (e.g. Computer Vision, DSP, Deep Learning)
• You have a strong foundation in graph algorithms and related data structures
• You are comfortable working at the intersection of systems, performance, and machine learning

Nice to Have

• You have proficiency in C++ (C++11 or later)
• You have experience with frameworks such as TVM or MLIR
• You have knowledge of front-end and back-end compiler techniques

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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