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SDE IV - GPU Engineer @ Glance

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 SDE IV - GPU Engineer

Job Description

  • Architect high-performance inference runtimes , kernel dispatchers, and memory planners for large diffusion and transformer workloads.
  • Lead investigations into cross-GPU performance bottlenecks , communication overheads, and scheduling inefficiencies.
  • Drive multi-GPU parallelism strategies model, pipeline, and tensor parallelization.
  • Establish company-wide GPU optimization standards, tooling, and SLIs .
  • Collaborate with research to design scalable implementations of novel architectures.
  • Mentor engineers in profiling, tuning, and low-level optimization.
  • Partner with hardware vendors and infra teams to maximize cluster utilization.
Required Qualifications
  • 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.
  • Proven expertise in CUDA / Triton / C++ , with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.
  • Experience building and maintaining distributed inference or training systems.
  • Ability to design abstractions balancing flexibility and performance.
  • Strong knowledge of NCCL , NVLink, PCIe, and interconnects.
  • Familiar with profiling automation and performance dashboards.
  • Excellent technical leadership and mentoring capabilities.

Job Classification

Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: Glance
Location(s): Bengaluru

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Keyskills:   Telecom Accessories C++ Automation Usage PCIE Scheduling Hardware high performance computing Open source

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