Technical Team Lead - Software Verification Engineers

NVIDIA is seeking a technical team lead to run a small, high-impact team of software verification engineers. The team owns functional and performance verification of high-profile features in the DOCA SDK, which enables GPUs and SmartNICs to move data over the network directly without host CPU involvement.

As a technical leader, you will define the verification strategy and take technical ownership of your feature areas, including design reviews, root-cause analysis of complex failures, and technical discussions with architects and SDK developers. You will combine strong engineering judgment with the ability to develop and guide a high-performing team.

Responsibilities:

• Lead, mentor, and grow a small team of verification engineers, and take hands-on technical ownership of the team's feature areas.
• Define test plans and verification strategy for new features from the design stage, covering API contracts, capability discovery, negative and boundary paths, resource lifecycle, and clean teardown.
• Drive functional verification (C/C++ and CUDA test suites, integration and system tests) for GPU-initiated networking, RDMA-style data movement, and high-rate Ethernet packet paths.
• Drive performance verification: bandwidth, latency, scaling, and regression tracking, building repeatable benchmarks and interpreting results.
• Debug across the full stack (GPU, NIC, host, DPU, drivers, and firmware).
• Lead technical discussions with SDK developers, architects, and product management, pushing back on design and testability, and signing off on release readiness.
• Leverage AI tools in the verification process to speed up test development and failure triage.

Requirements:

• BS in EE, CS, CE, or equivalent experience, with strong C/C++ and Linux skills.
• 8+ overall years in software development or verification, and 2+ years as a team lead, tech lead, or manager of engineers, while staying technically hands-on.
• Hands-on networking experience in RDMA/InfiniBand/RoCE or Ethernet datapath.
• Experience with verification methodology and performance testing.
• Strong debugging and communication skills.

Preferred qualifications:

• GPU and CUDA experience: writing or debugging CUDA kernels, persistent kernels, and CPU-GPU synchronization.
• System-level performance tuning: NUMA, PCIe topology, hugepages, IOMMU/ACS, and NIC tuning.
• Familiarity with the NVIDIA stack: DOCA SDK, BlueField DPUs, ConnectX NICs, rdma-core/ibverbs, DPDK, or packet steering and offload frameworks.
• Experience with firmware, driver, or hardware-adjacent verification.
• Experience with Git/Gerrit, Jenkins, and CI at scale, and with AI-assisted development and test generation.