Top Tech Jobs & Startup Jobs

Lead technical engagements with strategic ISV partners to design, prototype, and ship production agentic and generative AI systems. Drive adoption of NVIDIA stack (NeMo, TensorRT-LLM, etc.), set account objectives and timelines, coordinate cross-functional teams, and feed partner insights into Product, Engineering, and Research to shape roadmaps and deliver scalable enterprise deployments.

Lead technical architecture for rack-scale AI systems with ODM and manufacturing partners. Define integration requirements, validation criteria, and launch readiness; create reference flows and guidance; provide escalation and technical alignment across NVIDIA teams and external partners; support NPI through production ramp and occasional travel for reviews and site support.

Lead end-to-end mechanical design for GPU/LPU server and datacenter platforms, focusing on chassis, cooling, structural integrity, and system integration. Drive DFM with suppliers, build and test prototypes, validate designs, perform root-cause analysis, and collaborate with electrical and thermal teams to meet performance, reliability, and production goals.

Lead forecasting, planning, and product margin analytics for GeForce FP&A. Partner with product teams on cost and configuration analysis. Build and deploy AI/ML-enabled analytical tools, predictive models, and real-time dashboards. Provide timely financial insights and support senior leaders in a fast-paced environment.

Lead art direction and design for physical and virtual events: develop core event identities, booths, virtual experiences, and event marketing. Collaborate with creative and cross-functional teams from concept through production, applying storytelling across 2D, 3D, video, motion, and photography.

Design, build, extend, test, deploy, and maintain a centralized CI/CD infrastructure for open-source accelerated computing projects. Collaborate across teams, define CI/CD best practices, debug production issues, support other teams, and mentor junior engineers while setting technical direction and standards.

Design, build, extend, test, deploy, and maintain a centralized CI/CD infrastructure for open-source accelerated computing projects. Collaborate with teams, support platform users, ensure reliability/security/compliance, and debug production issues across the stack.

Design and deploy rack-scale AI infrastructure and cluster solutions for NVIDIA products. Collaborate with product teams and cross-functional engineering groups to onboard hardware/software stacks, optimize cluster deployments, and support multi-site datacenter and lab rollouts. Troubleshoot complex system failures, automate provisioning, and improve time-to-market for next-generation GPU/Tegra-based products.

Develop algorithms and optimizations for inference and compiler stack, enhance performance metrics, collaborate with hardware teams, and publish work on novel approaches.

Own and implement DFT architectures and test access mechanisms (IEEE standards, memory BIST, scan, memory dump, DFX security); architect and deploy DFT methodologies across RTL, verification, and pattern generation; collaborate with timing, physical design, software, bringup and production teams; perform silicon debug and ATE bring-up; mentor junior engineers on test design trade-offs.