Full job description 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.