ML Performance Architect: Kernel & Systems Optimizations

EPAM Systems; Warszawa; Hybrid; PLN 300,000 - 520,000; Full time

Benefits offered by this job

Hybrid work model within Poland

Opportunity to work abroad up to 60 d/

Relocation opportunities

English classes

Employee Stock Purchase Plan with 15%

Health insurance

Multisport

Shopping vouchers

Referral bonuses up to $2,000

Job summary

EPAM Systems is seeking a Solution Architect (Kernel Optimization & ML Performance) to shape high-impact, scalable AI infrastructure. You will lead architecture for performance-critical ML workloads, leveraging custom kernels on TPUs and GPUs, and drive large-scale optimization across teams.

You will collaborate with ML researchers, compiler engineers, and systems architects to define roadmaps, select tools, and ensure scalable, production-grade ML systems with strong performance and security

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
• 12+ years of software engineering experience, including 5+ years in architecture or technical leadership.
• In-depth knowledge of ML frameworks (JAX, PyTorch, TensorFlow) and Core ML concepts.
• Hands-on expertise in kernel-level performance optimization on TPUs/GPUs.
• Strong experience with C++/Python for high-performance computing.
• Solid grasp of compiler principles, graph optimizations, and MLIR/OpenXLA.

Responsibilities

• Define and own the architecture for performance-critical ML workloads, using custom kernels on TPUs/GPUs.
• Create a strategic roadmap for kernel optimization, framework integration, and large-scale performance gains.
• Collaborate with client leaders, ML researchers, and engineers to capture requirements and design scalable solutions.
• Evaluate technologies and design patterns to optimize compute-intensive operations.
• Lead benchmarking, autotuning frameworks, profiling tools, and regression suites.
• Advocate ML performance best practices and influence framework/compiler enhancements.
• Provide technical leadership and mentorship to development teams.

Skills

Kernel optimization

ML performance

C++/Python HPC

ML frameworks

Compiler concepts

Communication

Leadership

Education

Bachelor’s or Master’s degree in CS

Tools

MLIR

OpenXLA

TPUs/GPUs

PyTorch

TensorFlow

JAX

Job description

EPAM Systems is seeking a Solution Architect (Kernel Optimization & ML Performance) to shape high-impact, scalable AI infrastructure. You will lead architecture for performance-critical ML workloads, leveraging custom kernels on TPUs and GPUs, and drive large-scale optimization across teams.

You will collaborate with ML researchers, compiler engineers, and systems architects to define roadmaps, select tools, and ensure scalable, production-grade ML systems with strong performance and security