Top Tech Jobs & Startup Jobs

Lead functional and automated testing of NVIDIA-Cumulus Linux on Mellanox Spectrum switches. Create test plans and topologies, execute tests, develop automation, report and validate defects, and collaborate with design and engineering teams to ensure continuous functional regression coverage.

Lead GPU and NVLink-based cluster design and validation for large-scale AI and HPC deployments. Advise cloud partners on architectures, perform performance modeling, debug deployment issues, support NPI rollouts, and relay field feedback to engineering.

Lead end-to-end verification of Ethernet/InfiniBand NICs and switches: design test topologies, implement and mentor automation, execute regression/performance/functional/scale tests, generate reports, reproduce/debug complex customer issues, and drive product verification cycles.

Lead end-to-end management and scaling of global rebate and pricing platforms: run rebate programs, validate claims, generate partner statements, drive system implementations (requirements through UAT), automate workflows using AI, and coordinate cross-functional teams to improve processes and platform accuracy.

Design and implement functional GPU architecture models and simulation platforms. Develop tools, tests, and validation infrastructure, collaborate with architecture and engineering teams, and apply AI/ML to improve simulation and analysis workflows.

Lead full lifecycle of L4 Robotaxi carline programs, build and manage a carline PM team, coordinate software/hardware/vehicle/validation integration, drive ML/data ops and in-car testing, resolve cross-functional issues, and manage customer relationships through productization to mass-production readiness.

Develop and optimize Vulkan graphics drivers to maximize performance, power-efficiency, and latency for games and creative apps. Diagnose GPU/CPU bottlenecks, implement driver performance improvements, fix defects, collaborate across teams, and communicate API usage changes to third-party developers.

Design and implement high-performance Vision AI pipelines and large-scale distributed services for processing video, image, and 3D data across edge and cloud. Build multi-modal perception, use simulation/synthetic data for testing, profile and optimize GPU-accelerated inference, collaborate with research and product teams, drive code quality and reviews, and mentor engineers to productionize vision models at scale.

Lead engineering for interactive world models, spanning model optimization, continuous autoregressive serving, GPU inference, state and KV-cache management, frame streaming, and real-time multi-user experiences. Collaborate with researchers and applied teams on distillation, action conditioning, memory, simulation workflows, evaluation, integration, and production release. The role requires turning ambiguous applied ML research into reliable, high-performance systems.

Build and run Product Marketing operating systems: master launch calendar, operating rhythms, templates, workflows, dashboards, and reviews. Improve processes with automation/AI, ensure deliverable quality, and provide cross-functional program management and executive reporting.