[Hiring] GPU Programming Software Engineer @24-MAG

Role Description

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
• 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.

Qualifications

• 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

Requirements

• 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

Benefits

• Opportunity to work on advanced AI training and GPU programming evaluation projects
• Flexible work environment
• Competitive compensation based on task completion