Data Engineer Jobs in San Jose, CA

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

As a Senior Software Engineer, you will develop parallel algorithms for data processing, optimize C++ and CUDA code, and contribute to open-source projects.

Lead design and implementation of a scalable observability and data platform: build high-performance ingestion, governance and policy systems, unified web APIs/UX, tiered storage, and automation for lifecycle and pipeline orchestration to support NVIDIA engineers at scale.

The Big Data Infrastructure Engineer is responsible for designing, implementing, and optimizing infrastructure services for data pipelines, collaborating with teams, and ensuring platform reliability.

The Principal Engineer will lead the architecture and implementation of AI-powered systems for data analytics, collaborating with teams to create closed-loop systems and driving engineering excellence while measuring business outcomes.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Responsible for managing partnerships with strategic ISVs to drive adoption of NVIDIA's technology stack, ensuring integration and alignment with business goals. Lead cross-functional teams for successful collaboration and product strategy.

Lead data engineering projects and develop advanced architectures for large datasets. Collaborate with leadership to drive business growth and efficiency through data.

Design and implement data systems to support business needs, mentor junior engineers, and ensure data quality while leading data engineering projects.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Data Infrastructure Engineer will design, build, and maintain data tools for robot data management, supporting AI researchers and ensuring optimal data solutions across storage and compute resources.

As a Senior Full-stack Software Engineer, you will develop web applications for test automation, optimize data processing pipelines, and collaborate with teams to deliver scalable data solutions.

Design and implement data systems, manage projects, ensure data quality, mentor junior engineers, and collaborate across teams to provide insights.

Responsible for the architecture and reliability of data infrastructure, supporting data engineering and ML teams, and ensuring seamless self-service environments for data access.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.