Physical Design Methodology & Flow Engineer

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the roel SambaNova Systems is looking for a talented and motivated Physical design flow owner/lead to help us build state of the art RDU chips for machine learning and artificial intelligence. Responsibilities Develop and maintain physical composition flow utilizing Cadence tool sets, including Genus, Innovus, Cerebrus, , etc. Closely work with physical designers to address a diverse range of flow and design issues. Collaborate with tool vendors to address tool bugs and flow enhancement. Required Qualifications BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering 5+ years of industry experience in physical design and flow development Strong understanding of rtl to gds flow and mythologies, including synthesis and place and route; Proficiency in scripting languages, e.g. TCL, Perl and Python, etc.