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Designworks Talent LLC
Designworks Talent LLC
B2BHR TechRecruitment
Designworks Talent LLC is a recruitment and talent advisory firm serving high-growth startups and global enterprises. Founded in 2009, the company combines experienced recruiters with AI-enabled tools to support faster, more targeted hiring. Its work spans full-service searches, project-based recruiting, and flexible on-demand models, alongside scalable hiring strategy, recruiting operations, enterprise talent acquisition leadership, data-informed sourcing, and candidate experience. The team’s approach is designed to give organizations adaptable support as their hiring needs evolve.
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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.

USUnited StatesWAWashingtonHybridFull-timeSeniorEnglish RequiredEngineer
Cloud

Description

  • 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

Requirements

  • 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

Benefits

  • 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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