Own system architecture for inference stack and other applications running on this class of products and make it resilient to any fault happening in space.
Define and implement the technical vision and strategy for next-generation developer tools, workflows, and technologies that improve developer productivity. Design and prototype new tools that can evolve into production-ready software.
Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number of vehicles. Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.
Own APF Core Services: Build and harden the Runtime Policy Verifier, signed policy bundle verification, trust-root handling, freshness, rollback protection, subject binding to attested runtime context, revocation checks, and authorization APIs used by APF-compatible enforcement…
Shape the architecture of the hardware abstraction layers and core system libraries, and own the API contracts for the components you lead. Design and implement drivers, runtimes, and data movement and aggregation pipelines that execute workloads on novel silicon.
Own the technical vision, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate.
Modeling and analysis of SoC & Systems algorithms and features. Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models.
Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON. Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog.
Build and scale data generation pipelines using LLM-based methods combined with automated quality evaluation. resulting in datasets to improve both initial training and fine-tuning of LLMs such as Nemotron.
Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
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