Etched

6 months ago

Software Engineer – Performance Profiling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Lead the design and development of a performance analysis tool for Etched’s ML accelerator, enabling ML engineers and customers to understand workload behavior, identify bottlenecks, and optimize performance. Drive data collection, tracing, synchronization, analysis, and visualization, working closely with hardware, firmware, driver, and compiler teams to shape performance tooling for a cutting-edge AI accelerator.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Tool Architecture & Design: 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).
•Low-Level Data Collection: Develop robust methods to capture performance data directly from our custom ML accelerator hardware via driver interfaces or other mechanisms.
•Host & System Tracing: Implement tracing for host-side API calls and system-level events related to Sohu workloads.
•Data Correlation & Synchronization: Design techniques to accurately correlate performance events across host CPU, device driver, PCIe bus, and accelerators with precise time synchronization.
•Performance Analysis Engine: Build analysis modules to interpret collected trace and counter data, identifying key performance limiters.

Pay and Benefits

Salary: USD 150,000 - 275,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionHousing SubsidyRelocationWellness StipendMeal Allowance

Key Requirements

•Strong proficiency in C/C++ and Python.
•Deep understanding of computer architecture (CPU, GPU, accelerators), memory hierarchies, and interconnects (PCIe).
•Proven experience in low-level performance analysis, profiling, and bottleneck identification on complex hardware systems (GPUs, CPUs, FPGAs, or custom ASICs).
•Experience with performance analysis tools (e.g., NVIDIA Nsight, AMD uProf, Intel VTune, perf, Tracy, ETW).
•Solid understanding of operating system internals (Linux preferred), including scheduling, memory management, and driver interaction.

Experience:AI hardwareML acceleratorsPCIeLinux

Skills:CommunicationProblem-solvingLeadership

Tech Stack:CC++PythonPCIeLinuxNsightUProfVTunePerfTracyETWKernel driverPCIe analyzers

Company Brief

Etched

Designs transformer‑specialized AI inference ASICs (product: Sohu) to accelerate large‑language‑model workloads, working with TSMC for fabrication and targeting energy‑efficient inference performance.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series A

Headquarters: San Jose, United States

Founded: 2022

Website LinkedIn Glassdoor

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Etched

6 months ago

Software Engineer – Performance Profiling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Tool Architecture & Design: 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).
•Low-Level Data Collection: Develop robust methods to capture performance data directly from our custom ML accelerator hardware via driver interfaces or other mechanisms.
•Host & System Tracing: Implement tracing for host-side API calls and system-level events related to Sohu workloads.
•Data Correlation & Synchronization: Design techniques to accurately correlate performance events across host CPU, device driver, PCIe bus, and accelerators with precise time synchronization.
•Performance Analysis Engine: Build analysis modules to interpret collected trace and counter data, identifying key performance limiters.

Pay and Benefits

Salary: USD 150,000 - 275,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionHousing SubsidyRelocationWellness StipendMeal Allowance

Key Requirements

•Strong proficiency in C/C++ and Python.
•Deep understanding of computer architecture (CPU, GPU, accelerators), memory hierarchies, and interconnects (PCIe).
•Proven experience in low-level performance analysis, profiling, and bottleneck identification on complex hardware systems (GPUs, CPUs, FPGAs, or custom ASICs).
•Experience with performance analysis tools (e.g., NVIDIA Nsight, AMD uProf, Intel VTune, perf, Tracy, ETW).
•Solid understanding of operating system internals (Linux preferred), including scheduling, memory management, and driver interaction.

Experience:AI hardwareML acceleratorsPCIeLinux

Skills:CommunicationProblem-solvingLeadership

Tech Stack:CC++PythonPCIeLinuxNsightUProfVTunePerfTracyETWKernel driverPCIe analyzers

Company Brief

Etched

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: Unicorn (USD 1B+)

Funding: Series A

Headquarters: San Jose, United States

Founded: 2022

Website LinkedIn Glassdoor