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 Team
The Physical Design team takes RDU designs through synthesis, place and route, and sign-off on TSMC advanced nodes. We develop and maintain the Cadence based flow, including Genus, Innovus, and Cerebrus, and work with designers and tool vendors to fix flow and design issues.
About the Role
As a new grad Physical Design Engineer, you'll run and improve our RTL to GDS flow on advanced process nodes. You'll write TCL and Python scripts to automate flow steps, help physical designers debug timing and congestion issues, and work with tool vendors on bugs.
Responsibilities
- Run synthesis and place and route using Cadence Genus, Innovus, and Cerebrus
- Write scripts in TCL and Python to automate and improve the physical design flow
- Help physical designers debug timing, congestion, and design rule issues
- Work with tool vendors to report bugs and test flow improvements
- Maintain flow documentation and regression testing
Required Qualifications
- B.S. in Electrical Engineering, Computer Engineering, or Computer Science
- Coursework or project experience in VLSI or digital IC design
- Understanding of the RTL to GDS flow, including synthesis and place and route
- Scripting experience in TCL, Perl, or Python
Preferred Qualifications
- M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science
- Experience with Cadence or Synopsys physical design tools
- Familiarity with static timing analysis
- Familiarity with physical design rules on advanced process nodes
- Experience using AI tools such as Claude for flow development
- Internship or tape-out experience, including class or university tape-outs
Base Salary Range:
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Skills Required
- Bachelor’s degree in Electrical Engineering, Computer Engineering, or Computer Science
- Coursework or project experience in VLSI or digital IC design
- Understanding of the RTL-to-GDS flow, including synthesis and place-and-route
- Scripting experience in Tcl, Perl, or Python
- Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science
- Experience with Cadence or Synopsys physical design tools
- Familiarity with static timing analysis
- Familiarity with physical design rules on advanced process nodes
- Experience using AI tools such as Claude for flow development
- Internship or tape-out experience, including class or university tape-outs
What We Do
AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.
Why Work With Us
As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.
Gallery
