Experienced Software Engineer for Physical AI

Location: Eindhoven, Netherlands

Salary: €94,348.80–€141,523.20 per year

Company

hirify.global is a semiconductor manufacturer delivering power-efficient and high-performance solutions for AI, cloud, and physical-world applications through manufacturing operations across the U.S., Europe, and Asia.

What you will do

• Define end-to-end architecture for AI compilers and toolchains across the Physical AI product portfolio.
• Translate product, model, and customer use cases into compiler requirements, architecture specifications, interfaces, and technical roadmaps.
• Guide model import, graph transformation, MLIR/LLVM intermediate representations, optimization, partitioning, scheduling, memory planning, code generation, and deployment.
• Align compiler architecture with accelerator runtimes, compute-kernel libraries, firmware, verification flows, and hardware architecture.
• Lead architecture and design reviews, technical risk assessments, proof-of-concept work, and performance optimization across software and hardware.
• Mentor compiler engineers and collaborate with global engineering teams, customers, and ecosystem partners.

Requirements

• Bachelor’s, master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
• Extensive industry experience in compiler development with senior technical ownership or architecture responsibility.
• Strong knowledge of compiler design, intermediate representations, optimization, analysis, scheduling, memory management, and code generation.
• Hands-on experience with LLVM and/or MLIR.
• Experience compiling for heterogeneous targets such as AI accelerators, NPUs, DSPs, GPUs, vector processors, or embedded CPUs.
• Proficiency in modern C++ and Python, with strong communication skills across distributed, cross-functional teams.

Nice to have

• Experience with IREE, XLA, TVM, PyTorch, TensorFlow, TFLite, or ONNX.
• Experience with performance analysis, benchmarking, low-precision inference, quantization, tensor layouts, operator fusion, and hardware-aware optimization.
• Familiarity with agile development, CI/CD, automated testing, build systems, and collaborative engineering tools.
• Project management, planning, organizational, and ambiguity-navigation skills.

Culture & Benefits

• Full-time employment in a global semiconductor organization.
• Collaboration with distributed compiler, runtime, kernel, verification, infrastructure, hardware, product, and customer-facing teams.
• Commitment to security, longevity, sustainability, equal opportunity, and workplace diversity.
• Employment is subject to applicable pre-employment conditions, laws, and regulations.