Chief AI Infrastructure & Accelerator Architect

EPAM Systems; New York (NY); Presencial; USD 180.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

401(k) Retirement Savings Plan

Paid Time Off

Stock Purchase Program

Employee Discounts

LinkedIn learning access

Descripción de la vacante

EPAM Systems in New York City seeks a Principal Architect to drive AI performance, optimization, and hardware–software co-design across training and serving infrastructures.

You will define the architectural vision, lead the Center of Excellence, and guide roadmaps spanning TPU/GPU fleets, ML models, and compiler toolchains, delivering scalable impact across enterprise and research partners.

Formación

• 15+ years of software engineering experience, with HPC or AI infrastructure focus.
• 8+ years in distributed systems and AI infrastructure.
• 5+ years leading architecture and delivery of large-scale software.
• Proven track record architecting performance-critical systems bridging hardware accelerators and software frameworks.
• Strong leadership and collaboration across research, framework, and compiler teams.

Responsabilidades

• Define multi-year roadmap for high-performance AI kernels, ops, and hardware–software co-design targeting TPU/GPU.
• Mentor and scale a technical practice with governance and engineering standards.
• Collaborate with ML researchers, framework architects (JAX, PyTorch), and compilers teams (XLA, MLIR) to remove bottlenecks.
• Architect foundational infrastructure including benchmarking suites, autotuning frameworks, and docs.
• Track hardware/ model trends to unlock efficiency gains in training and inference.

Descripción del empleo

EPAM Systems in New York City seeks a Principal Architect to drive AI performance, optimization, and hardware–software co-design across training and serving infrastructures.

You will define the architectural vision, lead the Center of Excellence, and guide roadmaps spanning TPU/GPU fleets, ML models, and compiler toolchains, delivering scalable impact across enterprise and research partners.