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

Eleks; Canada; Remote; CAD 90,000 - 130,000; Full time

Job summary

A leading technology consulting firm is looking for a GPU/CUDA Senior/Expert to optimize performance for a significant client project in the reinsurance industry. You will evaluate current systems, mentor a development team, and design efficient CUDA-based models. Proven expertise in CUDA and parallel computing is essential. This role offers an opportunity to influence project technologies in a dynamic environment with minimal bureaucracy.

Benefits

Close cooperation with a customer

Challenging tasks

Competence development

Ability to influence project technologies

Team of professionals

Dynamic environment with low level of bureaucracy

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 and propose high-efficiency migration paths.

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.

Skills

CUDA expertise

GPU performance optimization

Parallel computing experience

Technical communication skills

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

Benefits

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