Design, build and operate hosted Spark service control plane on Kubernetes: the Java REST API, the Spark Connect runner, Kyuubi, and deployment using Helm charts and Flux. Own code review for one or more services end to end and keep them releasable on the release train.
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes.
Implement features that showcase the capabilities Jetson, IGX based robotics, drones or industrial automation platforms, from board bring-up through production release.
Evaluation: Develop datasets and specialized models & algorithms to evaluate/benchmark models & end-to-end systems in our core safety tracks (LLM Security, Agentic Safety, Content Safety, Hallucinations, and ML Fairness).
Develop conversational analytics agents tailored to IT portfolio and program data. Link these agents to enterprise data platforms via the Model Context Protocol (MCP) or equivalent open agent-tooling standards for reliable data retrieval.
Lead, coach, and develop the material planning team, establishing clear priorities, accountability, and performance expectations. Design scalable team structures, coverage models, and standard processes to support concurrent global NPI programs.
Design and implement program transformations on JAX programs (jaxpr) for large-scale training, on top of unmodified JAX and XLA: pipeline schedules, placement of tasks across stages, sharding (including JAX explicit sharding), and overlap of communication with computation.
NVIDIA · 15d ago
You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms. Implement power and thermal management software features in Linux Kernel and user space.
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