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MTS, Inference Performance Visibility

Etched· Architecture
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San Jose$150k - $400kFull-timePosted 3mo ago

About the role

Engineer to design and develop a performance analysis tool for Etched's ML accelerator, illuminating workload behavior, identifying bottlenecks, and accelerating demanding ML applications. Lead the performance tooling from data collection to visualization, collaborating with hardware, firmware, driver, compiler, and ML teams.

Responsibilities

  • Lead the design and architecture of a comprehensive performance analysis suite, including data collection mechanisms, data processing pipelines, analysis engines, and user interfaces (CLI and/or GUI).
  • Develop robust methods to capture performance data directly from our custom ML accelerator hardware (e.g., hardware performance counters, execution unit status, memory access patterns) via driver interfaces or other mechanisms.
  • Implement tracing for host-side API calls (runtime libraries, driver interactions) and system-level events (CPU activity, PCIe traffic, memory usage, network contention) related to our workloads.
  • Design and implement techniques to accurately correlate performance events across the host CPU, device driver, PCIe bus, multiple accelerators, and multiple hosts, ensuring precise time synchronization.
  • Build analysis modules to automatically interpret collected trace and counter data, identifying key performance limiters (e.g., compute-bound, memory bandwidth-bound, latency-bound, PCIe-bound, specific hardware bottlenecks).
  • Develop intuitive visualizations (timelines, dependency graphs, resource utilization charts, statistical summaries) to clearly communicate performance characteristics and bottlenecks to users.
  • Work closely with hardware architects, firmware engineers, driver developers, compiler engineers, and ML application engineers to understand their needs, define tool requirements, and provide expert guidance on performance analysis and optimization using the tool.

Qualifications

  • Strong proficiency in C++ or Rust
  • Proficiency in Python is a plus
  • Deep understanding of computer architecture (CPU, GPU, accelerators), memory hierarchies (caches, DRAM), and interconnects (especially PCIe).
  • Proven experience in low-level performance analysis, profiling, and bottleneck identification on complex hardware systems (GPUs, CPUs, FPGAs, or custom accelerators).
  • Experience with performance analysis tools (e.g., NVIDIA Nsight, AMD uProf, Intel VTune, perf, Tracy, ETW).
  • Experience working close to hardware, potentially reading performance counters or interacting directly with device drivers.

Skills

Required:C++Computer architecturePerformance analysis toolsHardware counters / tracing
Nice to have:RustPython

Benefits

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2.5k per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in our office
  • Unlimited compute budget subject to ROI justification
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Etched

Etched is building frontier inference clusters: co-designs chips, racks, software and manufacturing to push the pareto frontier for AI hardware.

frontier inference clustersAI hardwarechipsrackssoftwaremanufacturingparto frontier
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