Top Tech Jobs & Startup Jobs

Design and develop automated tests for networking products, ensuring high availability and quality. Collaborate with HW, ASIC, and SW teams, debug issues, and optimize testing procedures.

Define end-to-end NVL system architecture for next-generation high-performance and AI clusters. Research solutions across algorithms, software, firmware, and hardware; build simulation and performance models; analyze results; and collaborate with cross-functional teams to drive product lifecycle from pre/post-silicon to deployment.

Design and implement an LLVM-based JIT backend for NVIDIA GPUs, develop compiler passes and optimizations to meet performance and compile-time targets, collaborate with hardware and application teams to resolve issues, apply modern compiler technologies, and influence future GPU architectures.

The Senior Software Engineer will develop AI-focused software systems, build automation tools for data centers, and collaborate on system performance improvements.

Lead PCB layout for high-speed, high-density PCBs across NVIDIA product lines. Perform component placement, constraints and topology management, address signal and power integrity, ensure EMI/RFI and regulatory compliance, generate artwork/ODB++ and PCB documentation, collaborate with product engineers, and troubleshoot complex design issues.

Develop shared verification code, methodologies, and verification infrastructure. Define verification scope, build testbenches, run simulations, evaluate coverage, debug failures, collaborate with designers and EDA vendors, and deliver training.

Lead design and development of a GPU-accelerated end-to-end 5G/6G baseband reference stack. Optimize CPU/GPU/NIC subsystems for low-latency throughput, implement baseband functions in C/C++/Python/CUDA, integrate and test in lab environments, support system integration and customer field trials, and act as technical liaison with partners and customers.

Verify GPU and SoC RTL, architectures, and golden models using emulation/prototyping. Define verification scope, build testbenches and infrastructure, debug RTL, develop verification tools, and collaborate with architects, designers, and software teams to ensure design correctness.

Create developer-focused technical content, demos, reference examples, deployment guides, and docs-as-code workflows to accelerate adoption of NVIDIA enterprise AI software. Work across engineering, product, field, and partners to design developer journeys, build sample applications and notebooks, enable sales and partners, capture feedback, and engage the open source and cloud-native communities.

Lead signal-integrity modeling, simulation, and lab validation for cryogenic interconnects. Build 3D EM models (HFSS), simulate multi-layer PCBs under cryogenic conditions, define SI specs and guidelines, correlate simulation with hardware measurements, and collaborate across SI, materials, mixed-signal, package, and system teams to drive ultra-high-speed interconnect performance.