Top Tech Jobs & Startup Jobs

Lead architecture for cloud networking and security solutions involving DPUs and NICs. Design end-to-end systems from application to hardware, define architecture specifications, evaluate technologies, develop proof-of-concept prototypes, and collaborate with global software, hardware, product, engineering, and customer teams. The role requires strong C and Python development, Linux, networking protocols, cloud technologies, and systems architecture expertise.

Configure and support SAP PP/MM manufacturing and supply chain processes, including production planning, inventory, reverse logistics, subcontracting, serialization, batch management, and master data. Analyze business requirements, architect integrated solutions, lead implementations, coordinate onsite and offshore teams, conduct testing, work with contract manufacturers and third-party partners, and develop training materials. The role also supports SAP integrations, reporting, RICEFW customizations, and S/4HANA implementations.

Lead NVIDIA’s relational deep learning program from research through production. Coordinate ML research, infrastructure, platform, product, legal, and customer teams; manage model and platform releases, dependencies, risks, benchmarks, compliance, and executive reporting. Define program metrics and operating rhythms while guiding task-specific models for fraud detection and recommender systems. The role requires extensive technical program management or ML delivery experience and familiarity with graph ML, GPU infrastructure, data platforms, and modern program-management practices.

Develop physical design methodologies for rail analysis and signoff, craft workflows for power and noise analysis, and provide creative solutions for IR analysis needed for NVIDIA chips.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

Lead architecture and development of reliable, scalable distributed storage services for AI/ML. Build and maintain Go applications, containers, bindings, and CLI tools deployed on Kubernetes. Enhance availability, automate deployment and monitoring, and collaborate with research, product, engineering, and customers. Requires ownership of enterprise software throughout its lifecycle, with experience in distributed systems, cloud services, storage interfaces, and large-scale deployments.

The role involves developing and optimizing system software for autonomous driving platforms, integrating sensors, and collaborating across teams.

Lead development of data pipelines, ETL, and analytics for pre- and post-silicon DFT data; apply statistical methods and applied AI/GenAI to solve EDA/DFT problems; design scalable distributed databases; collaborate across teams and mentor junior engineers.

Develop and integrate system-level software for NVIDIA’s autonomous driving DRIVE OS platform. Responsibilities include designing vehicle interface abstractions, networking, data flow, synchronization, software architectures, and AI-assisted engineering workflows. The role debugs issues across software, operating systems, middleware, networking, hardware interfaces, and embedded platforms, while collaborating with cross-functional teams to test and deliver robust capabilities.

Design and develop RTOS and hypervisor features, bring up and optimize software stacks on NVIDIA Tegra SoCs, and debug system-level issues across hardware, firmware, RTOS, and virtualization layers. The role develops high-integrity automotive software using safety and security practices, while leading cross-team technical initiatives and coordinating execution. Candidates need strong C/C++ systems programming, embedded software expertise, operating-system knowledge, hardware-assisted virtualization experience, and at least eight years of experience.