Top Tech Jobs & Startup Jobs

Lead the architecture and implementation of hardware Root of Trust solutions for NVIDIA SoCs and GPUs. Collaborate across hardware, software, research, marketing, customers, and partners to define security roadmaps, review architecture and verification specifications, address threats, and ensure platform security requirements. Responsibilities include secure boot, cryptography, CPU security, physical attack mitigations, remote attestation, DRM, threat modeling, penetration testing, and certification compliance.

Lead global product strategy and lifecycle for large-scale network orchestration, telemetry, and analytics products. Define technical use cases and architecture requirements, guide cross-functional teams, engage customers and partners, and deliver scalable datacenter networking solutions aligned with NVIDIAs AI infrastructure roadmap.

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.

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.

Partner with architecture and design teams to plan and execute functional and performance verification for GPU memory subsystem IP. Develop testbenches, BFMs, monitors and regressions, close coverage, enable FPGA/software testing, and support post-silicon verification and debug to sign off RTL.

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.

Design and implement high-performance communication protocols and algorithms for NVIDIA networked supercomputers and datacenters. Develop production-grade communication frameworks and applications, optimize performance and scalability, and collaborate with networking chip design teams on hardware/software co-design.

Own go-to-market strategy and positioning for NVIDIA desktop AI products. Lead cross-functional teams through planning, launch, and post-launch optimization. Coordinate OEM and channel messaging, train regional sales, collaborate with product/sales/marketing, and drive analyst/influencer relations to grow pipeline and sell-through.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Design and ship Java, Go, and Rust services for NVIDIA Cloud Functions, a distributed platform routing AI workloads across GPU fleets. Improve performance, reliability, scalability, and cloud-native automation across Kubernetes-based control-plane and edge deployments. Collaborate on NVIDIA integrations, optimize build and release processes, steward the open-source project, triage community contributions, and document platform capabilities.