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Designworks Talent LLC
Designworks Talent LLC
B2Bएचआर टेकभर्ती
Designworks Talent LLC तेज़ी से बढ़ने वाले स्टार्टअप्स और वैश्विक उद्यमों को भर्ती और प्रतिभा परामर्श सेवाएँ देने वाली एक फर्म है। 2009 में स्थापित, यह कंपनी तेज़ और अधिक लक्षित भर्ती में सहायता के लिए अनुभवी भर्ती विशेषज्ञों को AI-सक्षम टूल्स के साथ जोड़ती है। इसके कार्यक्षेत्र में पूर्ण-सेवा प्रतिभा खोज, परियोजना-आधारित भर्ती और आवश्यकता के अनुसार लचीले मॉडल शामिल हैं। इसके साथ ही, कंपनी विस्तार योग्य भर्ती रणनीति, भर्ती संचालन, उद्यम प्रतिभा अधिग्रहण नेतृत्व, डेटा-आधारित प्रतिभा खोज और उम्मीदवार अनुभव पर भी कार्य करती है। इसका दृष्टिकोण संगठनों को उनकी भर्ती आवश्यकताओं के बदलने के साथ अनुकूलनीय सहायता प्रदान करने के लिए तैयार किया गया है।
LinkedIn
कंपनी की नौकरियाँ

Staff GPU Performance Kernel Engineer (Hybrid)

Lead GPU kernel optimization for an AI infrastructure cloud platform, improving utilization, latency, throughput, and scalability. Work across training and inference workloads to strengthen performance across the GPU fleet.

USसंयुक्त राज्यWAवॉशिंगटनहाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीइंजीनियर
क्लाउड

विवरण

  • Analyze and optimize GPU kernels to increase utilization, throughput, and latency performance.
  • Diagnose and remove data-plane bottlenecks in large-scale AI workloads.
  • Tune performance-critical workloads across training and inference environments.
  • Partner with AI infrastructure, machine learning, and platform engineering teams to optimize system behavior based on workload characteristics.
  • Create benchmarking approaches and performance measurement practices for GPU infrastructure.
  • Assess emerging GPU hardware, profiling tools, and optimization methods as platforms evolve.
  • Advance engineering practices that improve GPU efficiency, scalability, and fleet reliability.
  • Improve the performance layer supporting next-generation AI infrastructure.

आवश्यकताएँ

  • Substantial experience developing and optimizing GPU kernels with CUDA, ROCm, or comparable GPU programming frameworks.
  • A track record of improving GPU utilization, lowering latency, or raising throughput for production AI workloads.
  • Deep knowledge of GPU architecture, memory hierarchies, 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 independently lead technically complex initiatives and deliver solutions in a fast-paced engineering environment.
  • A 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, 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; employees are expected to work in the office at least three days per week once the permanent office is established.
  • benefits?

लाभ

  • Eligible roles may offer 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 provided according to the company calendar.
  • Hybrid work arrangement.

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