Remote | GPU Programming Software Engineer — $60–$95/hour

We are sharing a specialised consulting opportunity for experienced GPU Programming Software Engineers with strong expertise in CUDA, WebGPU, GLSL, C++, GPU architecture, kernel and shader optimisation, and high-performance parallel computing to contribute to an advanced AI training and GPU-programming evaluation project.

Selected professionals will design and implement GPU-focused technical tasks, optimise kernels and shaders, analyse GPU performance, and review AI-generated solutions for correctness and efficiency. The work is suited to engineers with practical GPU-programming experience across graphics, machine-learning acceleration, scientific computing, HPC, or comparable GPU-intensive domains.

Key Responsibilities

GPU Development & Optimisation

• Design and implement GPU workloads using CUDA, WebGPU, GLSL, or comparable technologies
• Develop and optimise CUDA kernels and shader-based workloads
• Apply appropriate parallelisation strategies and GPU execution models
• Improve memory-access patterns, throughput, latency, occupancy, and resource utilisation
• Ensure performance improvements preserve correctness

Performance Profiling & Architecture

• Profile GPU applications to identify computational and memory bottlenecks
• Analyse thread organisation, synchronisation, execution behaviour, and architecture-specific constraints
• Compare alternative GPU implementations and optimisation approaches
• Identify inefficient or incorrect GPU execution patterns
• Document performance findings and technical trade-offs clearly

C++ Integration & GPU Systems

• Develop host-side logic and integrations in C++
• Manage CPU–GPU communication, data transfer, and execution workflows
• Integrate GPU functionality into broader software systems
• Structure GPU workloads within maintainable application code
• Debug performance and correctness issues across host and device components

AI Task Development & Evaluation

• Design technically rigorous GPU-programming tasks for AI training
• Create problems testing GPU architecture, optimisation, and performance reasoning
• Define clear expected outcomes and evaluation criteria
• Review AI-generated GPU solutions for correctness, efficiency, and scalability
• Provide structured technical feedback supporting model improvement

Ideal Profile

• Advanced professional experience with GPU programming
• Strong proficiency with CUDA, WebGPU, GLSL, or another GPU technology capable of targeting NVIDIA hardware
• Strong C++ proficiency
• Deep understanding of GPU architecture and parallel execution
• Experience profiling and optimising GPU kernels or shaders
• Strong performance-engineering and debugging skills
• Background in graphics, machine-learning acceleration, scientific computing, HPC, or another GPU-intensive domain
• Experience analysing memory-access patterns and GPU resource utilisation
• Ability to reason about architecture and performance trade-offs
• Strong technical problem-solving and communication skills
• Experience creating or reviewing rigorous programming problems is advantageous
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Independent contractor engagement
• Fully remote
• Displayed compensation range: $60–$95/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve CUDA, WebGPU, GLSL, C++, GPU kernels, shaders, performance profiling, optimisation, and GPU-focused AI training tasks
• Roles are typically filled within approximately 48 hours
• Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
• Project scope, workload, GPU technologies, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential or proprietary information belonging to any employer, client, research institution, software organisation, 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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