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The Senior Product Marketing Manager will lead marketing efforts for the DSX OS, focusing on positioning, go-to-market execution, and fostering collaborations with cloud partners.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

Lead a cross-functional platform engineering team to harden a browser-based, multi-user analysis platform from prototype to product. Drive architecture alignment, define standards and component-compliance guidelines, resolve key technical decisions (auth, sessions, data plane, plugin API), and present productization gaps to stakeholders.

Ensure reliability, performance, and uptime of NVIDIA's Digital Marketing services by operating and improving AWS infrastructure, automating ML CI/CD, building monitoring/alerts, supporting on-call incident response, onboarding AI/ML services and model endpoints, and managing Akamai Cloudlets for large-scale redirects and content delivery.

Bring up, benchmark, tune, and debug large-scale distributed LLM training and inference on multi-GPU/multi-node NVIDIA platforms. Build benchmarking, automation, triage, and failure-attribution tooling; perform root-cause analysis and deliver data-driven performance recommendations.

Develop and implement compiler optimization algorithms for deep learning workloads, analyze networks, debug and profile GPU performance (CUDA), define public APIs, and deliver ahead-of-time and just-in-time compilation techniques for NVIDIA GPUs to improve inference performance, build times, and memory efficiency.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Design, build, and operate automation, tooling, and operational systems for large-scale GPU Kubernetes clusters. Develop provisioning, validation, upgrade, monitoring, repair, and lifecycle tools; improve Day0-2 workflows, reduce manual operations via APIs/GitOps, participate in on-call and incident response, and collaborate with platform, storage, networking, and security teams to ensure production readiness.

Design, build, and operate scalable, resilient e-commerce infrastructure. Architect Terraform modules and Jenkins CI/CD pipelines, manage AWS services (EKS, ECS, Lambda, RDS, S3, SQS), implement proactive AI-powered observability, define SLOs/SLAs, lead incident response and post-mortems, and automate operational tooling with Python.

The role involves developing software for datacenter integration, managing infrastructure, ensuring reliability, and automating processes. Requires strong expertise in programming, CI/CD, and distributed systems.