WTW, Senior Software Engineer .Net + CUDA, TSCM-41516

Eleks; Poland; Remote; PLN 180,000 - 240,000; Full time

Job summary

A consulting firm in Poland is seeking a skilled GPU/CUDA Senior/Expert to lead efforts in GPU performance optimization for a major project. The role involves evaluating HPC systems for GPU acceleration, designing execution models, and mentoring the client’s team. Candidates should demonstrate strong CUDA expertise and excellent communication skills. The position offers a dynamic work environment with opportunities for professional growth.

Benefits

Close cooperation with customer

Challenging tasks

Competence development

Influence on project technologies

Qualifications

• Proven expertise in CUDA and GPU performance optimization.
• Strong experience with parallel computing and porting HPC code to GPUs.
• Ability to analyze complex software architectures.

Responsibilities

• Evaluate current HPC-based system for GPU acceleration opportunities.
• Design efficient CUDA-based execution model.
• Mentor client's engineering team and support code reviews.

Skills

CUDA and GPU performance optimization

Parallel computing experience

Software architecture analysis

Mentoring and team development

Technical communication

Job description

ELEKS is looking for a GPU/CUDA Senior/ Expert with experience in .NET to join a significant consulting project with one of the world’s leading reinsurance companies. This is a modern, lightweight, and fast GPU compiler for .NET programs, written entirely in C#. It allows developers to write GPU kernels directly in C# and execute them on various GPU backends (CUDA, OpenCL, etc.), offering portability and ease of use.

Requirements

• Proven expertise in CUDA and GPU performance optimization
• Strong experience with parallel computing and porting HPC code to GPUs
• Ability to analyze complex software architectures and propose high-efficiency migration paths
• Collaborative approach to mentoring and uplifting the development team
• Excellent technical communication skills and a solution-oriented mindset

Responsibilities

• Evaluate the current HPC-based system to identify areas suitable for GPU acceleration
• Design an efficient CUDA-based execution model
• Define a stepwise migration strategy
• Mentor the client’s engineering team, support code reviews, and share best practices
• Advise on GPU tooling, profiling, and hardware setup where needed

What you will get with ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Ability to influence project technologies
• Team of professionals
• Dynamic environment with low level of bureaucracy