LogoFresh Jobs Ahead
Cerebras
Cerebras
501 – 1 000 Xodimlar
Apparat ta’minotiSaaSSun’iy intellekt
Cerebras yuqori unumdorlikdagi modellarni o‘qitish va inferens uchun plastina miqyosidagi sun’iy intellekt qurilmalari hamda integratsiyalashgan dasturiy ta’minotni ishlab chiqadi. Uning Wafer-Scale Engine qurilmasi CS-3 tizimi va OpenAI API bilan mos ish jarayonlarini qo‘llab-quvvatlaydigan Cerebras Inference Cloud xizmatiga quvvat beradi; bu yechimlar mahalliy infratuzilma, bulut va chekka muhitlarda joylashtirishni qo‘llab-quvvatlaydi. Kompaniya platformasi modellarni taqdim etish, nozik sozlash, dastlabki o‘qitish, real vaqt rejimidagi AI agentlari, genomika, dori vositalarini kashf etish, kiberxavfsizlik va korporativ qidiruv kabi ilovalar uchun mo‘ljallangan. Cerebras murakkab sun’iy intellekt ish yuklamalarini yaratadigan va ishlatadigan tashkilotlar uchun maxsus chiplar, tizimlar va dasturiy ta’minotni birlashtiradi; kompaniyada 501–1 000 nafar xodim ishlaydi.
LinkedIn
Kompaniyadagi ish o‘rinlari

Machine Learning Engineer, Model Bring-Up

Bring transformer models onto Cerebras AI accelerator hardware and optimize their inference performance. Develop MLIR compiler paths while improving model correctness, latency, throughput, and memory efficiency.

INHindistonGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
C++PythonPyTorch

Tavsif

  • Bring new models into production by analyzing architectures, converting weights, implementing execution paths, and validating results against reference implementations.
  • Lower models to Cerebras hardware with MLIR dialects, graph transformations, lowering passes, and hardware-specific mappings.
  • Support attention, matrix multiplication, normalization, positional embeddings, and other operators through compiler and kernel development.
  • Optimize operator fusion, tensor layouts, tiling, memory allocation, data movement, and parallel execution.
  • Improve prefill and decode performance by tuning KV-cache management, batching, and quantization for better latency, throughput, and memory use.
  • Analyze numerical discrepancies and assess how precision changes and compiler optimizations affect accuracy.
  • Use profilers, execution traces, and hardware counters to locate compute, memory, communication, and runtime bottlenecks.
  • Partner with hardware, compiler, kernel, and runtime teams to deliver dependable model support and reproducible performance benchmarks.

Talablar

  • Proficiency in C++ and Python programming.
  • Hands-on experience bringing up and debugging machine learning models in PyTorch or a comparable framework.
  • Practical MLIR experience with dialects, rewrite patterns, transformation passes, and lowering pipelines.
  • Knowledge of compiler fundamentals, including intermediate representations, dataflow analysis, and code generation.
  • Understanding of transformer architectures, attention mechanisms, tensor operations, and numerical precision.
  • Experience profiling and optimizing workloads on GPUs or other AI accelerators.
  • Ability to diagnose correctness and performance issues across model code, compiler output, kernels, and runtime execution.
  • Experience with large language model inference, including GQA, sliding-window attention, mixture-of-experts, KV caching, and speculative decoding.
  • Experience with FP16, BF16, FP8, or low-bit quantization and their accuracy and performance tradeoffs.
  • Background developing accelerator kernels or hardware-specific compiler backends.
  • Familiarity with distributed execution, model parallelism, and accelerator memory hierarchies.
  • Contributions to MLIR, LLVM, inference frameworks, or related open-source projects.

Imtiyozlar

  • Stable employment in a startup-paced environment.
  • Opportunities to publish and open-source advanced AI research.
  • Work with one of the world's fastest AI supercomputers.
  • A straightforward, non-corporate culture that respects individual beliefs.
  • Ongoing learning, professional growth, and support.
  • An equitable and diverse workplace.

O‘xshash ish o‘rinlari

Peraton

Senior Hybrid Connectivity Engineer

Peraton
H1B vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariVAVirjiniya
112 000 $ – 179 000 $ / yil
OfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandis
AWSBulutDNSKiberxavfsizlikKubernetesTarmoqlararo ekranlarTCP/IPTypeScript

Designs and troubleshoots connectivity across AWS classified cloud, Kubernetes, and on-premises networks. Supports Peraton’s national security and government technology missions.

Ochish