Real-Time GPU Optimization Engineer - Inference

techire ai

San Francisco (CA)

On-site

USD 230,000 - 300,000

Full time

14 days+

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Job summary

techire ai is seeking a GPU Optimisation Engineer for real-time inference in production AI workloads. The role focuses on pushing GPU performance to sub-50ms latency under high concurrency, close to the metal across kernel and runtime layers.

You will profile and optimize large generative models, write custom CUDA/Triton kernels, and collaborate with research to deliver production-ready inference at scale. SF relocation/visa sponsorship available.

Qualifications

  • Strong experience with CUDA and/or Triton.
  • Deep understanding of GPU execution (memory hierarchy, scheduling, occupancy, concurrency).
  • Experience optimising inference latency and throughput for large generative models.
  • Familiarity with attention kernels, decoding paths, or LLM‑style runtimes.
  • Comfort profiling with low‑level GPU tooling.

Responsibilities

  • Profiling GPU bottlenecks across memory bandwidth, kernel fusion, quantisation, and scheduling.
  • Writing and tuning custom CUDA / Triton kernels for performance‑critical paths.
  • Improving attention, decoding, and KV cache efficiency in inference runtimes.
  • Modifying and extending vLLM‑style systems to better suit real‑time workloads.
  • Optimising models to fit GPU memory constraints without degrading output quality.
  • Benchmarking across NVIDIA GPUs (with exposure to AMD and other accelerators over time).
  • Partnering directly with research to turn new model ideas into fast, production‑ready inference.

Skills

CUDA
Triton
GPU architecture
Profiling tooling
Low-level optimization

Job description

techire ai is seeking a GPU Optimisation Engineer for real-time inference in production AI workloads. The role focuses on pushing GPU performance to sub-50ms latency under high concurrency, close to the metal across kernel and runtime layers.

You will profile and optimize large generative models, write custom CUDA/Triton kernels, and collaborate with research to deliver production-ready inference at scale. SF relocation/visa sponsorship available.

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