Top Tech Jobs & Startup Jobs

Lead architecture, implementation, and operation of highly available enterprise messaging and collaboration platforms (Exchange on-prem/hybrid/Online, SMTP/IMAP, Azure). Manage upgrades, patching, monitoring, security (SPF/DKIM/DMARC, anti-spam), migrations/tenant consolidations, and SaaS collaboration platforms. Provide incident diagnosis, mentor engineers, and drive automation and AI-enabled operational improvements.

Design and research next-generation datacenter networking solutions across ASIC design, algorithms, topologies and systems. Collaborate with internal teams, partners, standards bodies and open-source communities to develop networking technologies that enable accelerated AI data centers.

Lead forecasting, strategy, and technical enablement to grow NVIDIA Compute platform sales in enterprise markets. Drive partner and ISV relationships, publish market insights, influence product roadmaps, and enable global sales teams to accelerate AI adoption across cloud and on‑prem environments.

Lead development of planet-scale mapping systems from crowdsourced fleet data. Design and implement 3D reconstruction, SfM, pose estimation, sensor fusion, map fusion, change-detection, and production C++ pipelines. Build evaluation, visualization, and debugging tools, and collaborate with perception, localization, and planning teams to integrate high-quality maps into autonomous driving systems.

Architect, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, I/O virtualization, and platform software for NVIDIA SoCs. Ensure safety and security compliance (ISO 26262/21434), use formal methods, optimize platform performance, and collaborate with ASIC, firmware, OS, safety, and security teams. Employ AI-assisted engineering tools to accelerate development, testing, and documentation.

Design and optimize high-performance C++/CUDA libraries for GPU-based data processing. Improve multi-node GPU communication (UcxExchange), optimize Presto GPU query performance, and lead enhancements across Presto, Velox, and cuDF projects for efficient DataFrame and database acceleration.

Lead memory supplier quality initiatives, collaborate with suppliers and cross-functional teams, manage failure analysis and PCNs, conduct supplier audits, use data analytics to monitor trends, drive corrective actions and continuous improvement to ensure memory product quality and reliability.

Lead production readiness and process optimization for NVIDIA AI datacenter platforms. Define test specs, validate DFx and signal integrity, qualify components, collaborate with NPI and contract manufacturers, analyze volume data to improve yield, and support customer/quality escalations to meet cost, throughput, and DPPM targets.

Analyze and optimize HPC application performance across CPU and multi-node multi-GPU systems by driving compiler and library improvements. Port and tune applications, evaluate compiler/runtime/driver impacts, and collaborate with compiler development and application engineering teams to deliver performance enhancements.

Define contamination control standards and inspection methods for liquid cooling components, develop cleanliness criteria and sampling plans, lead root-cause investigations, and qualify suppliers and processes for new-product introduction through high-volume manufacturing. Collaborate cross-functionally with design, manufacturing, supplier quality, reliability, and operations to implement cleaning, filtration, handling, and inspection solutions.