About the role

Senior Engineering Manager at Intel shaping compilation technology for AI, HPC, and heterogeneous computing. Leading teams to drive innovative compiler solutions and strategies aligned with Intel's vision.

Responsibilities

Define and drive 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 CPU, GPU 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

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
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