Remote GPU Kernel Engineer — CUDA/Triton Performance & Debugging

Anyone AI Inc.; Lisboa; Remoto; EUR 85.000 - 158.000; Part-time

Descrizione del lavoro

Anyone AI Inc. is seeking experienced GPU Kernel Engineers for a remote, part-time, project-based consulting engagement focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.

Applicants should have hands-on experience with CUDA, Triton, NKI/AWS Neuron, or Pallas/JAX and a strong grasp of numerical correctness, GPU performance, memory optimization, and benchmarking.

Competenze

• 3+ years hands-on experience developing, optimizing, or debugging GPU or accelerator kernels.
• Experience with at least two frameworks: CUDA, Triton, NKI / AWS Neuron, or Pallas / JAX.
• Strong understanding of GPU performance optimization and memory hierarchy.
• Experience debugging kernel compilation and runtime issues.

Mansioni

• Review GPU and accelerator kernel implementations for correctness.
• Compare outputs against reference implementations.
• Evaluate numerical tolerance thresholds.
• Review kernel benchmarks and determine whether comparisons are fair.
• Identify performance bottlenecks and optimization opportunities.
• Assess whether performance targets are realistic given hardware limits.
• Review kernel translations and hardware migrations.
• Identify compilation, driver, memory, shape, and runtime issues.
• Determine whether technical tasks are genuinely difficult or incorrectly configured.
• Provide clear, actionable technical feedback.

Descrizione del lavoro

Anyone AI Inc. is seeking experienced GPU Kernel Engineers for a remote, part-time, project-based consulting engagement focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.

Applicants should have hands-on experience with CUDA, Triton, NKI/AWS Neuron, or Pallas/JAX and a strong grasp of numerical correctness, GPU performance, memory optimization, and benchmarking.