Solution Architect (Kernel Optimization & ML Performance)

EPAM Systems; Kraków; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Hybrid by design

Remote within Poland

Relocation opportunities

English classes

Stock Purchase Plan

Health insurance

Job summary

EPAM Systems in Kraków seeks a Solution Architect (Kernel Optimization & ML Performance) to drive architecture for high‑performance ML workloads. You will work with ML researchers, compiler engineers and systems architects to deliver scalable, efficient solutions and set a strategic roadmap for kernel optimization.

You will guide benchmarking, autotuning, and performance profiling while ensuring security and maintainability across large‑scale AI workloads.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent.
• 12+ years software engineering experience with 5+ years in architecture/leadership.
• Strong knowledge of ML frameworks and Core ML concepts.

Responsibilities

• Define and own architecture for performance-critical ML workloads.
• Create a strategic roadmap for kernel optimization and framework integration.
• Collaborate with ML researchers and engineers to capture requirements.
• Evaluate technologies and design patterns to optimize compute operations.
• Guide benchmarking, autotuning, and profiling frameworks.
• Advocate ML performance best practices across teams.
• Provide technical leadership to development teams.
• Ensure security, scalability, and maintainability in design.

Skills

Kernel optimization

ML performance

C++/Python

Architectural leadership

ML frameworks (JAX, PyTorch, TensorTF)

Compiler principles

Performance profiling

Education

Bachelor’s or Master’s degree in Computer Science

Tools

MLIR

OpenXLA

Job description

Join us as a Solution Architect (Kernel Optimization & ML Performance) and play a key role in shaping impactful, scalable solutions that drive real business value. You will work at the intersection of advanced hardware acceleration and machine learning infrastructure, translating complex performance and optimization requirements into robust architectural designs. This role offers the opportunity to collaborate with global, cross-functional teams in a dynamic and fast-paced environment, working closely with ML researchers, compiler engineers, and systems architects. You’ll have a direct influence on the technical direction of high-performance ML solutions, solution quality, and overall efficiency across large-scale AI workloads. At EPAM, we value innovation, ownership, and a proactive mindset, giving you the space to make a tangible technological impact.

Responsibilities

• Define and own the architecture for performance-critical ML workloads, leveraging custom kernels on TPUs and GPUs
• Create a strategic roadmap for kernel optimization, framework integration, and large-scale performance improvement
• Collaborate with the client’s technical leadership, ML researchers, and engineers to capture requirements and design scalable solutions
• Evaluate and select the right technologies, toolchains, and design patterns to optimize compute-intensive operations
• Guide the development of benchmarking infrastructure, autotuning frameworks, performance profiling tools, and regression suites
• Advocate ML performance best practices, influencing framework and compiler enhancements across teams
• Provide technical leadership and mentorship to development teams implementing architectural solutions
• Ensure adherence to security, scalability, and maintainability standards in solution design

Requirements

• 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 roles
• In-depth knowledge of ML frameworks (JAX, PyTorch, TensorFlow) and Core ML concepts
• Hands‑on expertise in performance optimization at the kernel level targeting TPUs/GPUs
• Strong experience with C++/Python for high-performance computing
• Solid grasp of compiler principles, graph optimizations, and toolchains such as MLIR or OpenXLA
• Proven experience designing scalable, production-grade ML systems with emphasis on performance and efficiency
• Excellent communication, stakeholder management, and solution delivery skills

Nice to have

• Familiarity with emerging hardware accelerators, heterogeneous compute, and scale‑out performance patterns
• Experience with autotuning systems, benchmarking methodologies, and performance profiling tools
• Contributions to open-source projects in ML performance, kernels, or developer infrastructure
• Demonstrated ability to present architectural solutions to technical and non-technical audiences

We offer

• We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI‑Native enterprises, driving measurable value from innovation and digital investments.