Physical Design Methodology & Flow Engineer
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 12H AGO
Infrastructureonsitelead$180k–$255k
At a glance
Highlights
- Help build state-of-the-art RDU chips powering machine learning and AI.
- Work on dataflow architecture built for agentic and long-running workloads.
- Contribute to rack-scale hardware improving performance and efficiency.
What they offer
- Base salary plus equity
- 95% medical coverage for employees, 77% for dependents plus HSA contribution
- Dental, Vision, Disability, Life and AD&D insurance with FSA options
- Headspace, Gympass+, One Medical and Employee Assistance Program
Ideal candidate
A motivated flow owner who thrives collaborating with designers and vendors to solve diverse challenges and push next-gen AI hardware forward.
Requirements
- 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 methodologies, including synthesis and place and route
- Proficiency in scripting languages, e.g. TCL, Perl and Python
- Good understanding of physical design rules especially for TSMC advanced technology nodes 3nm and below
- Familiarity with Cadence physical design reference flow and methodologies is highly desirable
- Fluency in Claude / AI tools for flow development is a plus
Lab profile
About SambaNova
Full-stack AI infrastructure with RDU dataflow chips for fast agentic inference.
What they build
- RDU Reconfigurable Dataflow Unit
- SambaRack rack-scale hardware
- Full-stack AI inference platform
Known for
- Reconfigurable dataflow architecture alternative to GPUs
- High decode performance for agentic workloads
- Full-stack hardware-software co-design
Key facts
- Founded in 2017
- Headquartered in Palo Alto, California