Top Tech Jobs & Startup Jobs

Own the CPU platform ecosystem by defining supported components, qualification roadmaps, vendor lists, certification criteria, and launch readiness. Lead compatibility and enablement for GPUs, networking, storage, DPUs, firmware, software, and third-party devices. Coordinate cross-functional engineering and partner teams to resolve dependencies, manage risks, produce qualification evidence, and deliver deployable, supported server platforms to customers.

Own NVIDIA data center CPU strategy and value proposition for data analytics workloads. Lead TPC-H and TPC-DS benchmark methodologies, competitive analysis, and market positioning. Translate database and analytics performance characteristics into CPU, platform, and system requirements, while developing quantitative value propositions across performance, licensing, power, and total cost of ownership. Collaborate with architecture teams, ISVs, database vendors, cloud providers, and customers to shape roadmaps, joint solutions, customer proof points, and field enablement.

Design and verify embedded SRAM macros at the transistor level, supervise layout, develop SRAM compiler automation, and optimize designs for advanced process nodes. Collaborate with SoC design, silicon testing, and productization teams to meet power, performance, area, and cost objectives. The role also involves silicon characterization, debugging, and using AI coding and analysis tools such as Codex and Claude Code.

Develop and lead datacenter product strategies and execution for AI, high-performance computing, power solutions, and server platforms. Own programs from concept through mass production, coordinate JDM partners and suppliers, establish requirements and schedules, lead multifunctional teams through system, hardware, and software integration, and drive validation, quality, automation, and continuous improvement.

Build and operate insider-threat detections, investigations, automation, data pipelines, integrations, dashboards, and investigation tools. Correlate identity, endpoint, cloud, source-code, collaboration, and data-protection signals to reconstruct timelines and assess risk. Improve DLP and insider-risk capabilities, reduce false positives, preserve evidence, and communicate findings objectively to Security, Legal, HR, Privacy, IT, and engineering stakeholders. Requires strong security engineering, investigation, programming, data analysis, and sensitive-information handling experience.

Lead floorplan design from early architecture through physical implementation for high-performance SoCs/CPUs/GPUs. Collaborate with cross-functional teams to optimize area, power, timing, and interconnect; develop AI-driven workflows and tools; identify technical risks and drive mitigation to meet product goals.

Drive software releases and readiness for new GPU-based system production. Coordinate cross-functional teams across software, hardware, marketing, and operations; prioritize diagnostic software issues; monitor program progress; and improve NPI and software development processes. The role requires software lifecycle expertise, device driver and application experience, product bring-up knowledge, data analysis, technical communication, and the ability to manage complex programs in a matrixed environment.

Develops high-performance computing, AI, machine learning, and GPU solutions for customers and partners. Acts as a trusted technical advisor, designs enterprise GPU and networking architectures, supports AI and HPC applications, creates technical documentation and educational content, and collaborates with industry teams, developers, researchers, and senior stakeholders. The role includes customer engagements, partner strategy, solution delivery, and leadership across complex technology initiatives.

Develop optimized GPU algorithms and high-performance machine learning solutions for vector search, databases, and data processing. Responsibilities include designing, implementing, benchmarking, debugging, and optimizing C++, CUDA, and Python libraries; developing clustering and visualization algorithms; collaborating cross-functionally; and contributing to open-source projects such as cuML, cuVS, and RAFT.

Develop low-level drivers, tests, and frameworks for Tegra SoC diagnostics across user space, kernel, firmware, and boot software. Analyze system architecture, stress power and bandwidth limits, improve validation and manufacturing-screening software, debug complex module and rack failures, and drive software architecture improvements. Collaborate with internal teams, customers, and partners throughout the software development lifecycle.