S
SambaNova Systems
Senior Hardware Engineer (Validation & Signal Integrity Correlation)
Skills
PythonNumPypandasAICompliance
2 months ago
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Important information
Contract type:
Permanent
Salary:
$210,000 – $280,000 / year
Location:
San Jose, CA, USA
Work mode:
Onsite
Published on:
12 August 2026
What they need
- SambaNova Systems is redefining what’s possible in AI infrastructure—and the hardware that powers it has to be flawless. As a Senior Hardware Validation & SI Correlation Engineer, you will own the technical bridge between simulation and silicon, ensuring that every high-speed link, control bus, and power rail in our next-generation AI server systems performs without compromise
- This is a high-impact, highly visible role that blends deep Signal Integrity (SI) expertise with rigorous system-level hardware validation. You will work at the frontier of AI compute—validating PCIe Gen5/6, DDR5, and 112G/224G Ethernet interfaces on systems pushing the limits of what data center hardware can do. If you thrive in a fast-paced lab environment, love digging into root cause, and want your work to directly accelerate the future of AI, this role is built for you
- SI Modeling & Measurement Correlation
- Drive the correlation between pre- and post-layout SI simulations and physical lab measurements, closing the loop between theory and hardware reality
- Quantify simulation-vs-measurement gaps for PCIe Gen5/6, DDR5, and 112G/224G Ethernet using S-parameters, TDR, and eye diagram analysis
- Develop and refine EM models for PCB discontinuities, high-speed connectors, and vias using Ansys HFSS, Cadence Sigrity, or equivalent tools
- Investigate discrepancies caused by manufacturing tolerances, material properties (Dk/Df), or de-embedding inaccuracies and drive them to resolution
- System-Level Electrical Validation
- Lead validation of housekeeping and control buses—I2C, SPI, eSPI, UART, SMBus—ensuring protocol compliance and robust timing margins
- Validate complex power-on/off sequences and correlate VR control loop simulations with physical transient response and ripple measurements
- Ensure reliable operation of sideband signals, reset logic, and BMC hardware interfaces under intensive AI workloads
- Work cross-functionally with SI, Power Integrity (PI), and Firmware teams to resolve system-hang and link-training failures rooted in electrical noise or power instability
- Test Methodology & Automation
- Author comprehensive Hardware Validation Plans (HVP) with full coverage of critical electrical test points
- Build Python-based automation scripts to drive data collection from VNAs, BERTs, and oscilloscopes—accelerating validation throughput and repeatability
Benefits
- Flexible PTO in US
- Parental Leave
- Benefits (medical, dental and vision)
- Flexible Spending Accounts
- 401k/Pensions
- Gym Access
- Flexible Working Hours- Familiarity with the unique power and thermal challenges of high-density AI clusters—including 48V power delivery and high di/dt transients
- PCIE Gen5/6 and 100g Ethernet Expertise
- 10+ years of experience in high-speed digital design or hardware validation within a data center, systems architecture, or server bring-up environment
- Deep knowledge of high-speed protocol physical layers (PCIe, IEEE 802.3) and low-speed control buses (I2C, SPI)
- Strong fundamentals in digital circuit design, debug, and computer architecture
- Programming fluency in Python or equivalent scripting languages (Perl, Shell)
- Hands-on mastery of high-bandwidth real-time oscilloscopes, VNAs, and logic analyzers
- Expert-level proficiency in SI/EM tools: Ansys HFSS/SIwave, Cadence Sigrity/Allegro, or Keysight ADS
- B.S. or M.S. in Electrical Engineering (M.S. preferred)
- Hands-on experience validating GPU/TPU modules or AI-specific interconnects such as NVLink or CXL
- M.S. or Ph.D. with emphasis in Electromagnetics, Computer Architecture, or Power Electronics
- Ability to build end-to-end automated test frameworks in Python or TCL, integrating lab equipment with Pandas/NumPy for rapid correlation
- Transaction- and link-layer expertise in PCIe Gen5/6 and DDR5—not just physical layer knowledge
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