SambaNova
Physical Design Methodology & Flow
San Jose, California, United States · Full-time
Sponsorship not specified$180k-$255kDetected 7 days ago
PythonFull-Stack DevelopmentMachine LearningNLPComputer VisionLLMsCadenceElectrical Engineering
About the role
- SambaNova's flagship offering, Dataflow-as-a-Service ™, helps organizations rapidly deploy AI in days, unlocking new revenue and boosting operational efficiency.
- SambaNova's DataScale ® is an integrated software and hardware system using Reconfigurable Dataflow Architecture ™ (RDA), along with open standards and user interfaces.
- Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others.
Requirements
- BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering
- Knowledge and Skills
- 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. is required
Nice to have
- Fluency in Claude / AI tools for flow development is a plus
Compensation
- Base Pay Range
- $180,000 - $255,000 USD
- SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits.
Benefits
- 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.
- Benefits Summary for US-Based, Full-Time Employment Positions
Equal opportunity
- SambaNova Systems is an Equal Opportunity/Affirmative Action Employer.
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This listing is sourced directly from SambaNova's careers page and normalized into a canonical job model.