Staff Engineer: AI/ML Profiling & Visualization Tools

Engg

San Jose (CA)

On-site

USD 170,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

4+ weeks PTO
Fertility care stipend
Medical travel support
Virtual therapy sessions
Charitable giving match

Job summary

Engg is seeking a senior engineer to design and build interactive web analytics tools for AI/ML workloads in a daily onsite role in San Jose, CA. You will render large telemetry datasets into clear visualizations and collaborate with hardware and software teams to translate profiling data into practical workflows.

The role demands extensive experience with data visualization, developer tooling, and performance profiling across CPUs, GPUs, and accelerators.

Qualifications

  • Experience designing rich, interactive visualizations for developers.
  • Ability to translate large telemetry data into intuitive visuals.
  • Strong experience with web-based UI tools and dashboards.

Responsibilities

  • Develop and maintain interactive web analytics tools for AI/ML workloads.
  • Create visualizations like flame graphs and call trees for large datasets.
  • Collaborate with compiler engineers to translate profiling metrics into workflows.
  • Improve developer experience for ML performance profiling and diagnostics.
  • Communicate with stakeholders to deliver systems on time and budget.

Skills

Data visualization
Web UI
Developer tools
Telemetry analysis
Profiling tools
Computing architectures
Machine learning frameworks
Collaboration
Problem solving

Education

Bachelor's degree
Master's degree
PhD

Tools

Perfetto
Chrome Tracing
NVIDIA Nsight
PyTorch Profiler
TensorBoard
eBPF

Job description

Engg is seeking a senior engineer to design and build interactive web analytics tools for AI/ML workloads in a daily onsite role in San Jose, CA. You will render large telemetry datasets into clear visualizations and collaborate with hardware and software teams to translate profiling data into practical workflows.

The role demands extensive experience with data visualization, developer tooling, and performance profiling across CPUs, GPUs, and accelerators.

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