SambaNova · Infrastructure · Staff+ · Posted 2026-08-17
Principal Design Verification Engineer
SambaNova · San Jose, California, United States · $180k–255k base
This range's midpoint is above 49% of posted infrastructure ranges at AI companies right now. See the salary index.
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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
SambaNova's RDU is the processor behind our inference systems, and design verification ensures quality and reliability before production. The team owns verification for block, full-chip, and gate-level benches, performance verification, coverage closure, and the emulation and FPGA prototypes.
About the role
SambaNova is looking for a Principal Design Verification Engineer to own verification for our next-generation RDU, the reconfigurable dataflow silicon behind our machine learning and AI systems. This is a senior individual-contributor role where you'll own the test plan, testbench architecture, coverage model, and sign-off criteria, while shaping the team-wide infrastructure, reuse patterns, and verification practices.
You'll work alongside principal engineers from the design, architecture, compiler, and runtime teams who have built and evolved this verification environment across several generations of silicon, to verify the chip against production ML workloads.
Responsibilities
Some of your responsibilities will include...
Own verification end to end for a major subsystem of the RDU: test plan, testbench architecture, coverage model, and sign-off criteria
Build the coverage model for your area, set the closure bar, and drive it to closure ahead of tape-out
Develop testbench components, agents, checkers, and stimulus at block, full-chip, system, and gate level
Serve as the technical authority for verification of your subsystem: review and arbitrate testbench design decisions, and lead debug on the hardest failures
Own regression health and failure triage for your area: drive root cause, not just reproduction
Verify functional and performance behavior
Advance DV methodology beyond your own area: reusable infrastructure, verification IP integration, and AI-assisted verification workflows the rest of the team adopts
Contribute to emulation and FPGA prototyping, and support silicon bring-up and post-silicon debug in the lab
Set the technical bar through design and DV reviews, and mentor engineers to raise the level of the team's verification practice
Required qualifications
BS or MS in EE, CS, or CE with 7+ years (or equivalent) of industry experience in ASIC design verification
Deep hands-on expertise in SystemVerilog and SVA with a standard methodology (UVM, OVM, or VMM), plus scripting in Python and C/C++
Full-cycle DV ownership from test plan through tape-out on at least one complex ASIC or major subsystem, including owning a coverage model to closure
Experience verifying digital logic in a CPU, GPU, SoC, or comparably complex ASIC
Track record of debugging hard, intermittent, or low-reproducibility pre-silicon failures to root cause
Demonstrated technical leadership without formal authority: setting direction in reviews, arbitrating testbench decisions, and mentoring engineers
Working knowledge of modern computer architecture and of machine learning accelerators or SoCs
Preferred qualifications
MS or PhD in EE, CS, or CE with 10+ years of experience in ASIC design verification
Depth in high-speed I/O verification: protocol-level verification of PCIe or Ethernet, and memory subsystems such as HBM or DDR
Performance verification methodology: building performance benches and analyzing results, not only functional correctness
Formal verification and …
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