Top Tech Jobs & Startup Jobs

Lead design and implementation of high-speed interface and mixed-signal circuits, including transceivers and PLLs. Supervise designers, support silicon characterization, and solve deep submicron CMOS circuit challenges.

The role involves developing system software for NVIDIA's DPU, including firmware and drivers, collaborating with hardware teams, and tackling system-level optimizations.

The role focuses on developing and maintaining continuous integration systems for NVIDIA's AI software ecosystem, ensuring optimal performance and quality of software stacks.

The Senior Firmware Engineer will perform firmware verification, develop verification plans and automation tools, and collaborate with teams to ensure feature functionality and troubleshoot issues.

The Director of Internal Audit leads SOX compliance and financial controls efforts, managing audits and collaborating with various departments and external auditors.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

The role involves developing features for the CUDA Driver, crafting solutions for GPU computation, and collaborating across teams.

Drive physical design and timing for high-frequency, low-power CPUs/GPUs/SoCs from RTL to GDS2. Perform synthesis, STA, timing constraint generation, timing convergence, placement/routing optimizations, ECO implementation, DFT closure, and cross-team methodology improvements to achieve timing and power targets.

Define and drive product strategy for agentic data analytics in the datacenter: connect agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing. Engage customers and partners, set success metrics (latency, cost, correctness, utilization), collaborate cross-functionally on architectures and blueprints, and present vision and progress to internal and external stakeholders.

Design and build a Kubernetes-native system that discovers, aggregates, and normalizes cluster topology data for provisioning systems and schedulers. Contribute to the open-source Topograph project, optimize GPU-to-GPU communication on NVIDIA hardware, and collaborate on interfaces between discovery logic, data models, and scheduler output.