The future of AI computing builds upon light. Q.ANT is building photonic processing systems that compute with light - delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and HPC applications.

As LLVM / MLIR Compiler Architect - Photonic Computing (f/m/d), you will design and build the compiler stack that brings photonic computing to life. You will shape the interface between developers and hardware, define how software frameworks drive photonic execution, and co-design the system architecture that will power Q.ANT's next-generation products.

This isn't incremental optimization - it's defining the compiler structure from the ground up for a fundamentally new compute paradigm. You'll sit at the boundary to algorithms and software ecosystems, and you feed into low level software interfaces and hardware architecture. Your design decisions will shape how Q.ANT's photonic processors evolve across generations and how efficiently they execute the next generation of AI workloads.

• Design, lead, and deliver the Q.ANT compiler stack - shape the LLVM/MLIR-based compilation framework for photonic computing

• Define the MLIR dialectfor Q.ANT and build the path into the hardware interfaces and co-design the system architecture and Instruction Set Architecture (ISA)

• Shape the hardware design point to ensure large parts of algorithms can execute on-device with high parallelism, low latency, and maximum utilization

• Provide technical guidance to algorithm and application teams - help internal teams develop and optimize high-performance compute kernels for photonic execution

• Drive profiling and performance analysis - analyze compiler-generated code to identify bottlenecks and optimization opportunities

• Lead collaboration with external partners and internal teams (system engineering, architecture, ASIC design) - coordinate compiler stack development while ensuring cohesive design across the hardware/software stack

• Contribute to Q.ANT's Open Source initiatives - engage with the LLVM/MLIR community and Open Source development practices

• **5+ years building compilers (LLVM/MLIR)**and co-designing hardware architectures, including profiling and performance analysis of compiler-generated code

• Deep expertise in systems architecture, programming languages, and AI/scientific computing algorithms - you understand how compute architectures work and what algorithms need from hardware

• Master's degree or PhD in Computer Science, Computer Engineering, or related field; equivalent industry experience considered

• Fluent in English; German language beneficial

• Experience with novel or heterogeneous compute architectures (GPUs, TPUs, FPGAs, custom accelerators) is a plus

• Hands-on experience defining MLIR dialects and contributing to LLVM/MLIR Open Source projects is a plus

• Experience with AI frameworks (PyTorch, JAX, TensorFlow) and parallel programming (OpenMP, MPI) is a plus

• Background in photonics is beneficial (but not required)

• Make impact at scale: Help solve one of computing's biggest challenges - making growing demand in compute and sustainability go hand in hand

• Work on the leading edge: Photonic AI acceleration technologies that will define the next