Material

Inference Performance Engineer

🇺🇸 New York, США На місці IT Старший спеціаліст Опубліковано Тра 13, 2026
Локація New York, США
Формат роботи На місці
Рівень досвіду Старший спеціаліст
Категорія IT
IT-категорія Інше IT
Мова English
Опубліковано 13 травня 2026 р.
Остання перевірка 10 червня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Inference Performance Engineer at Material: New York, США; На місці; Старший спеціаліст; IT; Інше IT. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: New York, США, На місці
  • Role classification: IT, Інше IT, Старший спеціаліст
  • Source freshness: checked by JobGrid on 2026-06-10.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

About the role

Serving frontier models at scale requires solving novel systems problems at every layer of the stack. As an Inference Performance Engineer, you'll own the runtime that turns accelerators into a production serving system, optimizing throughput, latency, and cost across thousands of nodes. You'll work alongside hardware and compiler teams operating at the frontier of AI silicon design.

What you'll do

  • Build and improve the inference runtime

  • Design scheduling, continuous batching, KV cache, and prefill/decode disaggregation

  • Implement low-precision kernels and speculative decoding

  • Drive throughput, latency, and cost per token

  • Collaborate with hardware teams on kernels, operators, and graph optimizations

  • Own the OpenAI-compatible API surface and serving protocol

  • Build benchmarking, profiling, and regression infrastructure

What you'll need

  • BS in CS, EE, or related field, or equivalent experience

  • Software engineering experience: Rust, Go, Python, or C++

  • Understanding of concurrency, memory, and tail latency

  • Understanding of modern inference: transformers, attention, KV cache, batching, speculative decoding, quantization

  • Experience with model serving frameworks: vLLM, TGI, SGLang, TensorRT-LLM, llama.cpp, or custom runtimes

  • GPU or ASIC programming experience: CUDA, ROCm, Triton, or vendor-native toolchains

  • Experience with low-precision inference (FP8, FP4, INT4)

  • Profiling and benchmarking experience: Nsight, perf, custom harnesses

What we offer

  • Top-tier compensation structured to recognize and retain the best talent

  • Meaningful equity

  • Comprehensive medical, dental, vision, life, and disability insurance

  • Parental leave for all new parents, including adoptive and surrogate journeys

  • Flexible PTO

  • Paid Holidays

  • Relocation support

 

Equal Employment Opportunity

We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.