Lead HPC & CUDA Optimization Engineer

Quick Facts

• Role: Lead HPC & CUDA Optimization Engineer (hands-on, technical leadership)

Description

Lead hands-on engineering for GPU-accelerated large-scale scientific and engineering applications, focusing on designing and optimizing CUDA kernels. You will analyze GPU performance using profiling tools, improve high-load performance-critical C++/Python systems, and provide technical leadership through mentoring and architectural decisions. The role also includes debugging complex GPU memory and performance issues across GPU architectures and distributed systems.

Responsibilities

• Design, develop, and optimize CUDA kernels for large-scale scientific and engineering applications.
• Analyze and improve GPU performance using profiling tools to identify and resolve bottlenecks.
• Develop and maintain high-performance C++ and Python code for performance-critical, high-load systems.
• Collaborate with cross-functional teams to architect scalable and efficient software solutions.
• Debug complex performance and memory issues across GPU architectures and distributed systems.
• Research and apply best practices in HPC, numerical methods, and GPU computing to improve existing codebases.
• Provide technical leadership and guidance on GPU optimization, performance engineering, and software architecture.
• Drive engineering best practices and contribute to technical decision-making for HPC and GPU-accelerated solutions.

Requirements

• 8+ years of professional experience with C++ and Python development.
• Deep knowledge of CUDA, GPU architecture, PTX, memory hierarchy, and kernel optimization.
• Experience with GPU profiling, performance analysis, and bottleneck identification.
• Experience developing and optimizing performance-critical, high-load software systems.
• Strong debugging and software architecture skills.
• Proven ability to lead technical initiatives and collaborate effectively with cross-functional teams.
• English proficiency at B2 level or higher.

Nice to have

• Hands-on experience with distributed and multi-GPU computing (MPI, NCCL, NVSHMEM).
• Experience with RTM/FWI, seismic imaging, or geoscience applications.
• Development of HDF5-based data viewing and analysis tools.
• Familiarity with scientific computing and numerical methods.

Benefits

• Hybrid by design mode and opportunity to work remotely within Poland.
• Chance to work abroad for up to 60 days annually and business-driven relocation opportunities.
• Career development programs, thought leadership, mentoring, soft skills and well-being programs.
• Certification support (Anthropic, Gemini, GCP, Azure, AWS) and English classes.
• Stable pay; Employee Stock Purchase Plan with a 15% discount.
• Benefits package: health insurance, multisport, shopping vouchers; referral bonuses up to $2,000.
• Office amenities (entertainment and relaxation zones, table tennis and football, free snacks and coffee) plus corporate/social/well-being events.

Benefits are available to employees only; contractors may be considered with individually agreed B2B terms.