Designworks Talent LLC
Designworks Talent LLC
Designworks Talent LLC tez o‘sayotgan startaplar va global korxonalarga xizmat ko‘rsatuvchi rekruting hamda iste’dodlar bo‘yicha maslahat kompaniyasidir. 2009-yilda tashkil etilgan kompaniya tezroq va aniqroq ishga yollashni qo‘llab-quvvatlash uchun tajribali rekruterlarni sun’iy intellekt asosidagi vositalar bilan birlashtiradi. Uning faoliyati to‘liq xizmat ko‘rsatish asosidagi qidiruvlar, loyiha asosidagi rekruting va talabga ko‘ra moslashuvchan modellarni, shuningdek, kengaytiriladigan ishga yollash strategiyasi, rekruting operatsiyalari, korporativ iste’dodlarni jalb qilish bo‘yicha rahbarlik, ma’lumotlarga asoslangan nomzodlarni izlash va nomzod tajribasini qamrab oladi. Jamoaning yondashuvi tashkilotlarning ishga yollash ehtiyojlari rivojlanib borgani sari moslashuvchan yordam ko‘rsatish uchun ishlab chiqilgan.

Senior GPU Performance Kernel Engineer - Bellevue Hybrid

Optimize GPU kernels, utilization, latency, and throughput for a next-generation AI cloud platform. Improve performance across large-scale training and inference infrastructure.

Tavsif

  • Profile, analyze, and optimize GPU kernels to improve latency, throughput, and overall utilization
  • Locate and remove data-plane bottlenecks that limit GPU performance across large-scale AI workloads
  • Tune performance-sensitive workloads for both training and inference environments
  • Partner with AI infrastructure, machine learning, and platform engineering teams to understand workloads and improve system behavior
  • Create benchmarking methods and performance measurement practices for GPU infrastructure
  • Assess emerging GPU technologies, profiling tools, and optimization methods as hardware platforms develop
  • Advance engineering practices that increase GPU efficiency, scalability, and fleet reliability

Talablar

  • Substantial experience developing and optimizing GPU kernels with CUDA, ROCm, or comparable GPU programming frameworks
  • Proven ability to improve GPU utilization, lower latency, or raise throughput for production AI workloads
  • Deep understanding of GPU architecture, memory hierarchy, parallel computing, and the path from application code to hardware execution
  • Experience profiling and debugging performance problems in complex AI or distributed computing systems
  • Ability to take ownership of technically complex problems and deliver solutions in a fast-paced engineering environment
  • Strong systems programming foundation and performance engineering approach
  • Preferred: experience optimizing workloads for both NVIDIA and AMD GPU architectures
  • Preferred: experience with GPU compilers, runtime optimization, or low-level systems performance
  • Preferred: contributions to open-source GPU performance projects, compiler tools, or AI systems optimization
  • Preferred: experience with large-scale AI training, inference platforms, HPC environments, or cloud GPU infrastructure
  • Preferred: familiarity with Nsight Systems, Nsight Compute, ROCm profiling tools, or comparable technologies
  • U.S. work authorization is required
  • Visa sponsorship is not currently available
  • Must be willing to work in a hybrid arrangement in downtown Bellevue, Washington, with at least three in-office days per week once the permanent office is established

Imtiyozlar

  • Some roles qualify for merit increases, annual bonuses, and long-term incentives tied to individual performance
  • Medical, dental, and vision coverage for U.S.-based employees
  • 401(k) plan with company matching
  • Paid holidays each calendar year
  • Hybrid work arrangement

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