Senior Validation & SI Correlation Engineer
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 12H AGO
Infrastructureonsitesenior$210k–$280k
At a glance
Highlights
- Own the bridge between simulation and silicon for next-gen AI servers.
- Validate high-speed links and power systems at data center limits.
- See your hardware work power real-world AI deployments worldwide.
What they offer
- Base salary plus equity
- 95% premium coverage for employee medical insurance, 77% for dependents
- Health Savings Account (HSA) with employer contribution
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance
- Flexible Spending Account options including Health Care, Limited Purpose and Dependent Care
- Headspace subscription, Gympass+ membership, One Medical membership and Employee Assistance Program
Ideal candidate
A hands-on lab debugger with 10+ years in server hardware who thrives on root-cause analysis and closing the gap between simulation and silicon to deliver flawless AI infrastructure at scale.
Requirements
- B.S. or M.S. in Electrical Engineering (M.S. preferred)
- 10+ years of experience in high-speed digital design or hardware validation in data center or server bring-up environment
- Expert-level proficiency in SI/EM tools: Ansys HFSS/SIwave, Cadence Sigrity/Allegro, or Keysight ADS
- Hands-on mastery of high-bandwidth real-time oscilloscopes, VNAs, and logic analyzers
- Deep knowledge of high-speed protocol physical layers and low-speed control buses (I2C, SPI)
- Strong fundamentals in digital circuit design, debug, and computer architecture
- Familiarity with power and thermal challenges of high-density AI clusters including 48V power delivery
- Programming fluency in Python or equivalent scripting languages (Perl, Shell)
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