We are sharing a specialised consulting opportunity for experienced CUDA Engineering Experts with strong expertise in CUDA, C++, GPU kernel optimisation, GLSL, WebGPU, profiling, and high-performance computing to contribute to an advanced GPU-engineering and AI training project.
Selected professionals will analyse and optimise GPU kernels, improve CUDA and C++ codebases, work with shader and WebGPU workflows, and document performance improvements across modern GPU architectures. The work requires strong low-level performance engineering, rigorous profiling, and the ability to translate technical findings into clear, actionable recommendations. No prior experience in AI is required.
Key Responsibilities
CUDA Kernel Analysis & Optimisation
Analyse and optimise GPU kernels using CUDA
Identify performance bottlenecks affecting computational throughput
Improve kernel efficiency across modern GPU hardware
Apply targeted optimisation techniques based on profiling results
Validate performance gains using quantitative benchmarks
GPU Profiling & Performance Engineering
Profile GPU workloads using tools such as Nsight, Visual Profiler, or comparable platforms
Diagnose memory, compute, occupancy, and execution bottlenecks
Evaluate kernel performance across different hardware generations
Develop data-driven optimisation strategies
Document measurable changes in latency, throughput, and resource utilisation
C++ & CUDA Codebase Refactoring
Refactor CUDA and C++ code for improved maintainability and efficiency
Improve architecture and organisation within performance-critical codebases
Reduce unnecessary complexity while preserving functionality
Adapt implementations for portability across GPU architectures
Apply high-performance computing best practices throughout development
GLSL & WebGPU Development
Implement shader logic using GLSL
Develop graphics and compute workflows using WebGPU
Integrate shader-based processing into existing systems
Evaluate performance trade-offs across GPU execution environments
Maintain compatibility and consistency across pipeline components
Technical Evaluation & Design
Contribute expertise to GPU architecture and performance-design discussions
Evaluate new GPU-based implementation approaches
Assess technical trade-offs across performance, maintainability, and scalability
Support definition of meaningful performance metrics
Recommend practical approaches based on profiling and benchmarking evidence
Technical Documentation & Collaboration
Document optimisation strategies, benchmark results, and technical findings
Produce clear reports describing performance improvements
Communicate complex GPU behaviour to technical stakeholders
Collaborate with remote and cross-disciplinary project teams
Share relevant developments in GPU programming and performance engineering
Ideal Profile
Demonstrated expertise in CUDA programming
Strong track record of GPU kernel performance optimisation
Advanced C++ development experience
Experience working in high-performance computing environments
Hands-on experience with GLSL and WebGPU
Strong understanding of graphics or compute shader development
Proficiency with GPU profiling tools such as Nsight, Visual Profiler, or equivalent
Ability to reason about memory behaviour, kernel execution, and hardware utilisation
Strong analytical skills for evaluating performance across GPU architectures
Experience refactoring performance-critical codebases
Excellent written and verbal technical communication skills
Comfortable collaborating in remote, cross-disciplinary environments
No prior AI-training experience is required
Engagement Details
Independent contractor engagement
Fully remote
Compensation: $60–$100/hour
Work will involve CUDA kernel optimisation, GPU profiling, C++ development, GLSL, WebGPU, and performance analysis
Strong low-level GPU performance expertise is central to this engagement
Assignments may involve kernel benchmarking, bottleneck analysis, codebase refactoring, shader development, and architectural evaluation
Project scope, workload, hardware targets, and performance requirements may evolve depending on project needs
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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