Anyone AI is recruiting experienced GPU Kernel Engineers for a specialized project focused on reviewing, debugging, and evaluating high-performance compute kernels used in AI workloads.
We’re looking for engineers with hands-on experience writing and optimizing kernels across frameworks such as CUDA, Triton, NKI, or Pallas, with a strong understanding of numerical correctness, GPU performance, memory optimization, and benchmarking.

What You’ll Work On
You’ll work with GPU and accelerator kernel tasks involving:
- Kernel implementation and debugging
- CUDA and Triton optimization
- Translation between kernel frameworks
- Hardware migration
- Operator fusion
- Performance profiling and benchmarking
- Numerical correctness verification
- Compilation and runtime debugging
- Memory hierarchy optimization
- Kernel-level AI workload performance

You’ll assess whether implementations are technically correct, efficiently designed, reproducible, and appropriately optimized for the target hardware.

What We’re Looking For
- 3+ years of hands-on experience developing, optimizing,



or debugging GPU or accelerator kernels
- Strong experience with at least two of the following:
- CUDA
- Triton
- NKI / AWS Neuron
- Pallas / JAX
- Strong understanding of GPU performance optimization
- Experience with kernel profiling tools such as Nsight, NCU, roofline analysis, or framework-native profilers
- Understanding of:
- Memory bandwidth
- Compute throughput
- GPU occupancy
- Shared memory
- Register pressure
- Memory coalescing
- Bank conflicts
- Strong understanding of floating-point numerical correctness and tolerance thresholds
- Experience debugging kernel compilation and runtime issues
- Ability to distinguish software defects, environment problems, and genuine optimization challenges

Relevant Experience
Candidates should have experience with several of the following types of work:
- Writing kernels from technical specifications
- Translating kernels between CUDA, Triton, or other fr

📌 GPU Kernel Engineer – CUDA, Triton (Buenos Aires)
🏢 Anyone AI
📍 Buenos Aires