Principal AI Performance Engineer
Core
Define performance direction and optimization strategies for large-scale AI training and inference workloads across hardware, software, and system architecture.
Role type
Principal AI Performance Engineer (System Architecture)
Builds
High-performance AI infrastructure for data center deployments
Domain
AI Infrastructure / High-Performance Computing / Distributed Systems
Deliverable
production ML models
Required skills
Profiling and optimizing AI/ML/HPC workloads at scale, C++ and Python expertise, Distributed systems scaling behavior, Benchmarking and measurement standards, MPI/NCCL/UCX/libfabric/MLPerf knowledge, Technical leadership in system architecture
Preferred skills
Experience with accelerated architectures, High-performance interconnects, Returnship experience
Technologies
C++, Python, MPI, NCCL, UCX, libfabric, MLPerf
Responsibilities
Lead performance investigations from model behavior to multi-node scaling, Turn profiling and benchmarking evidence into technical roadmaps, Set measurement standards and distributed communication strategy, Review critical C++ and Python tools, Guide strategy and resolve complex tradeoffs, Raise performance-engineering standards across the organization
Seniority
Principal, hands-on IC with strategic influence
