- Define and implement the testing approach for custom chips designed by our ASIC team.
- Develop and maintain testing infrastructure, including disk space and compute capacity management.
- Implement monitoring, reporting, and metrics collection to track the quality, performance, and utilization of testing infrastructure.
- Collaborate with ASIC developers to automate testing and ensure continuous integration and delivery.
- Drive an environment of quality, evidence-driven debugging/triage, root cause analysis, and test-driven development within the team.
- Utilize Python, Jinja2/Templating engines, Make/CMake, Bazel/Blaze/Buck build tools, Git/Mercurial, YAML, JSON, and other relevant technologies for software development.
- Develop and maintain automated dashboards that provide real-time visibility into the team’s progress, including work remaining, work completed, change fail rate, lead time for changes, time to recover test failures, and other key performance metrics, ensuring transparency and accountability across the organization.
- Make a significant impact on the world of AI and machine learning by ensuring the quality of our custom chips.
- Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule.
- Demonstrate innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of software development experience.
- Proficiency in Python and experience with build tools like Make/CMake, Bazel/Blaze/Buck.
- Proficient knowledge of version control systems such as Git/Mercurial.
- Familiarity with YAML and JSON for configuration and data exchange.
- Experience in evidence-driven debugging, root cause analysis, and test-driven development.
- Proficiency in C++: Experience in developing software components for hardware modeling and simulation.
- Verilog Tools and Compilation Flows: Knowledge of Verilog tools and compilation flows is advantageous. Experience in using these tools to analyze, debug, and optimize hardware designs will contribute to the success of the team.
- AI Frameworks: Familiarity with popular AI frameworks like PyTorch, TensorFlow, Caffe2, and others is a plus. Understanding how these frameworks interact with custom hardware and the experience to integrate them into the testing infrastructure will be beneficial.
- Experience with hardware simulators such as Imperas and QEMU is preferred. Proficiency in configuring, extending, and optimizing these simulators for specific testing scenarios is a valuable skill.
- Familiarity with hardware modeling concepts, including the experience to work with hardware description languages (e.g., Verilog), is a plus. Understanding the intricacies of hardware design and modeling will be beneficial in this role.
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