AI/ML Compiler & Runtime Software Engineer

3-12 years of hands-on software engineering experience, with strong experience in compiler, runtime, embedded software, or AI/ML systems.

Strong hands-on experience with IREE, LLVM, and MLIR compiler infrastructure. Experience developing MLIR dialects, compiler passes, lowering pipelines, pattern rewrites, code generation flows, or backend integration for custom hardware.

Good understanding of IREE code generation flow, dispatch formation, executable generation, HAL/runtime concepts, and target-specific lowering.

Strong exposure to AI compiler/runtime stacks used for edge AI or accelerator-backed inference.

Experience with AI model formats and frameworks such as PyTorch, ONNX, TensorFlow Lite/TFLite, and related conversion or import flows.

Working knowledge of torch-mlir, TOSA, Linalg, tensor dialects, bufferization, quantization dialects, and MLIR-based model lowering concepts.

Strong understanding of neural network execution and optimization, including quantization, operator fusion, tensor layouts, memory planning, tiling, vectorization, and kernel selection.

Experience enabling or optimizing workloads for AI accelerators, NPUs, DSPs, vector processors, matrix engines, or custom SoC IP.

Strong C/C++ programming skills, with good Python scripting ability for compiler tooling, testing, automation, and model workflow integration.

Experience working in Linux development environments, including cross-compilation, debugging, profiling, build systems, and runtime bring-up.Strong debugging and problem-solving skills across compiler IR, generated code, runtime behavior, and hardware/software interaction.

Ability to work with architecture and hardware teams to understand accelerator capabilities and translate them into compiler/runtime enablement.

Proven ability to technically lead complex software modules, mentor engineers, and drive execution across cross-functional teams.

You might also have

Experience working on RISC-V, ARM, x86, DSP, GPU, or custom accelerator software stacks.

Familiarity with RISC-V Vector, matrix acceleration concepts, custom instructions, or accelerator-specific code generation.

Experience with edge AI deployment on real devices, development boards, FPGA platforms, emulators, simulators, or early silicon.

Familiarity with FPGA prototyping, Linux bring-up, board-level debugging, or pre-silicon software validation.

Exposure to LLM and edge inference stacks such as llama.cpp, GGML/GGUF, ONNX Runtime, TensorFlow Lite, TVM, XNNPACK, or similar frameworks, with understanding of quantization, memory footprint optimization, kernel performance, and deployment constraints on resource-limited devices.

Experience with AI model benchmarking and optimization for vision, audio, transformers, GenAI, robotics, automotive, industrial, or real-time embedded workloads.

Understanding of hardware-software co-design, memory hierarchy, DMA, scratchpad memory, cache behavior, and accelerator data movement. Experience with runtime systems, kernel libraries, microkernels, custom dispatch flows, or accelerator runtime APIs.

Familiarity with CI/CD and agile tools such as Jenkins, Git, CMake, Bazel, Jira, or similar engineering infrastructure.

Experience working in customer-facing enablement, silicon bring-up, platform software, or SDK delivery environments.

Excellent communication and interpersonal skills, with the ability to explain complex compiler and AI runtime topics clearly to software, hardware, and product stakeholders.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia