Senior Compiler Engineering Manager

Overview  Join Intel as we accelerate the future of computing through unified AI, HPC, and heterogeneous programming models. Our compilation technologies—including MLIR, Triton, other DSLs, AI compilers, and optimizing backends—form the foundation that enables developers to fully utilize Intel's CPUs, GPUs, and accelerators. We are building a scalable, open, high‑performance compiler platform that powers next‑generation AI workloads, advanced HPC applications, and emerging programming models.

This is an opportunity to lead at the intersection of hardware and software innovation and influence technologies that reach across the industry.
Why This Role Matters  This highly visible leadership role directly shapes Intel's ability to compete in AI, HPC, and heterogeneous computing. Your work will define how developers build software for Intel platforms and influence the future of compiler technology across the industry.

Key Responsibilities   Define and drive a multi‑year compiler strategy across compilation technologies
Influence architectural direction for AI workloads, heterogeneous compute, and performance portability
Lead development of next‑generation compiler capabilities for CPUs, GPUs, and accelerators
Serve as a technical authority, guiding critical design decisions and resolving complex cross‑domain challenges
Lead multiple teams or a significant organizational segment delivering end‑to‑end compiler capabilities
Drive execution of large, cross‑functional programs spanning multiple business units
Ensure alignment between architecture, compiler, runtime, and hardware roadmaps
Balance execution excellence with long‑term innovation and scalability
Build and leverage relationships across Intel to drive cross‑organizational outcomes
Influence decisions on strategic, ambiguous, and far‑reaching technical challenges
Lead or contribute to industry standards and open‑source communities (LLVM, MLIR, SYCL, OpenMP)
Represent Intel externally as a thought leader in compiler and AI systems
Drive innovation in:
AI compiler optimization techniques
Cross‑layer performance (compiler, runtime, hardware)
Scalable compiler infrastructure

Translate evolving business and technical needs into clear strategies and execution plans
Qualifications   Bachelor's degree in Computer Science, Engineering, or related field with 12+ years of experience (or equivalent)
10+ years in software engineering, including compiler, systems, or performance engineering
5+ years of engineering management with experience leading large or multiple teams
Proven ability to drive cross‑functional initiatives and deliver complex systems

Preferred Qualifications   Deep expertise in one or more areas:
Compiler design (LLVM, MLIR, GCC)
AI/ML compilers or frameworks
Domain specific languages (DSLs)
Front‑end languages or language standards

Strong understanding of CPU/GPU/accelerator architectures
Experience shaping technical strategy across organizations
Demonstrated leadership in open‑source communities
Track record of influencing organization‑level or industry‑wide direction
Equal‑Opportunity Employment Statement  All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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