Join Etched as a Performance Tools Intern to develop performance analysis tools for cutting-edge ML accelerators.
Posted by employer 1 month ago
First seen on Joblaze 4 days ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Build components of performance analysis and profiling infrastructure
- Collect and analyze performance data from custom ML accelerators
- Develop tooling to trace host-side runtime activity
- Help correlate performance events across various systems
- Build analysis and visualization tools for performance optimization
Must have
- Strong programming skills in C++ or Rust
- Solid understanding of computer architecture
- Experience or strong interest in low-level performance analysis
Nice to have
- Familiarity with performance analysis tools
- Experience with ML accelerator architectures
- Experience with kernel-mode driver development
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The Performance Tools Intern at Etched focuses on developing performance analysis tools for the company's ML accelerator, enabling engineers to identify and resolve performance bottlenecks. Key skills include strong programming abilities in C++ or Rust, along with a solid grasp of computer architecture and performance optimization techniques. This role is well-suited for individuals with a background in low-level systems software and a keen interest in performance analysis. Etched fosters a collaborative environment where engineering and research intersect, emphasizing hands-on contributions across disciplines.
Joblaze insights
Quick facts
- Is the Performance Tools Intern role remote?
- No — this is an on-site role in San Jose.
- Where is the role based?
- Etched is hiring for this position in San Jose.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Computer Architecture, Nsight, Perfetto, Performance Analysis, Python.
- What seniority level is this role?
- Etched targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Performance Tools Intern role at Etched.
From the original posting
Job Summary
Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a sophisticated performance analysis tool, tailored specifically for our hardware. You will be instrumental in creating the essential tooling that enables our ML engineers and customers to understand workload behavior, identify performance bottlenecks, and unlock the full potential of our hardware, accelerating the most demanding ML applications in the world. This is a unique opportunity to shape performance analysis for novel hardware from the ground up.
During your internship, you may:
Build components of our performance analysis and profiling infrastructure.
Collect and analyze performance data from our custom ML accelerators, including hardware counters, execution traces, and memory behavior.
Develop tooling to trace host-side runtime activity, system behavior, and accelerator execution.
Help correlate performance events across CPUs, accelerators, storage, networking, and distributed workloads.
Build analysis and visualization tools that help engineers identify performance bottlenecks and optimize models.
Work alongside hardware, compiler, firmware, and inference engineers to understand performance challenges and develop tools that improve developer productivity.
Representative projects
Implement the data collection framework for hardware performance counters on a custom PCIe-based accelerator.
Develop a user-space service for low-overhead tracing of accelerator activity.
Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe transfers, and accelerator execution units.
Create an analysis pass to detect and quantify memory access inefficiencies or PCIe bandwidth saturation while transacting on a PCIe-attached accelerator.
You may be a good fit if you have
Strong programming skills in C++ or Rust. Experience with Python is a plus.
Solid understanding of computer architecture, including CPUs, GPUs or AI accelerators, memory hierarchies, and parallel programming.
Experience or strong interest in low-level performance analysis, profiling, and performance optimization.
Familiarity with performance analysis tools such as Nsight, VTune, Xprof, Perfetto, or similar tools is a plus.
Experience or strong interest in operating systems, compilers, firmware, drivers, or other low-level systems software.
Passion for understanding how complex systems behave under real workloads and building tools that help other engineers optimize performance.
Strong problem-solving skills and curiosity to learn quickly in a fast-paced engineering environment.
Direct experience developing performance analysis or debugging tools.
Experience with ML accelerator architectures (GPUs, TPUs, etc.).
Experience with kernel-mode driver development (Linux or Windows).
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