Accelerator Post-Silicon Performance Validation Engineer
1 day ago
Rivos Accelerator Performance team is seeking highly motivated candidates to perform post-silicon performance validation activities for Rivos accelerator design. The primary role is to engage in performance validation and analysis of typical workloads on server compute silicon.
Key Responsibilities
As a Post-Silicon Performance Engineer, you will own or participate in the following:
* Analyze workloads and their performance to drive the performance analysis, optimization and correlation efforts on Rivos' accelerator design. * Quantify and analyze performance of typical server workloads (data analytics, graph algorithms, and AI/ML), and correlate measurements with simulation results * Collaborate cross-functionally with design, architecture, systems, and software teams to enable enterprise customer use-case performance measurements * Perform silicon performance measurements and correlate with partition simulations and full-chip projections * Improve use-case power/perf ratio through tuning of hardware and software settings * System level performance debugging and silicon performance per watt tuning * Automate performance validation infrastructure * Develop and execute silicon characterization tests for the Rivos accelerator.
Minimum Qualifications * 5+ years of hands-on experience in bring-up and validation of complex SoCs. * Experience scripting in Python or other programming language. * Experience in object-oriented programming with C and C++ * Experience in bringing up silicons, performing functional and performance validation, and debugging failures. * Familiar with the LLM/ML workloads
Preferred Qualifications * Knowledge and experience with common performance benchmarks such as MLPerf * Experience working multi-functionally with people of very diverse backgrounds * Demonstrated communication, influence, and negotiation skills * Technical documentation skills * Initiative in taking ownership & responsibility to drive deliverables * Able to think outside the box and come with creative solutions for lab validation. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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