GPU Programming Benchmark Task Author
Job Description
IXO is engaging specialists to evaluate GPU coding tasks that require architecture-aware performance reasoning. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.
Work you will do
• Develop or evaluate kernels, shaders and host-side integration in the appropriate GPU programming language.
• Profile execution and explain the relationship between implementation choices, hardware use and observed performance.
• Provide technically sound reference code or assessments, with evidence for both computational correctness and efficiency.
Preferred background
• Advanced programming for NVIDIA-compatible GPUs and strong C++, with practical depth in graphics, ML acceleration, scientific computing, HPC or another GPU-intensive area.
Deliverables
Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.
Location and schedule
Remote assignments are scheduled by agreement, with no guaranteed weekly volume. IXO confirms the applicable timing before work.
Pay and working terms
Per completed task; fee agreed before work USD. Payment is for a completed task that meets the agreed acceptance criteria. The fee, task specification and revision requirements are agreed before work; an advertised time estimate does not determine payment. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.