Physical Design Engineer, New Grad
SambaNova · San Jose, California, United States · Austin, TX · San Jose, CA
Infrastructureonsiteentry-level$120k–$150k
At a glance
Highlights
- Take RDU dataflow AI chips through synthesis to sign-off on advanced nodes.
- Help deliver rack-scale systems purpose-built for fast agentic AI inference.
- Improve RTL-to-GDS flows while debugging timing and congestion issues.
What they offer
- Equity as part of competitive total rewards package
- 95% employee and 77% dependent medical premium coverage
- HSA with employer contribution plus dental and vision coverage
- Short/long-term disability, life and AD&D insurance plus FSAs
- Headspace, Gympass+, One Medical and EAP well-being benefits
Ideal candidate
A recent EE/CE/CS graduate who is curious about how chips get built and loves automating tedious steps and digging into debug puzzles with senior mentors.
Requirements
- B.S. in Electrical Engineering, Computer Engineering, or Computer Science
- Coursework or project experience in VLSI or digital IC design
- Understanding of RTL to GDS flow including synthesis and place and route
- Scripting experience in TCL, Perl, or Python
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
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