Data Engineer Jobs in Sunnyvale, CA

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

The role involves owning data science pipelines, delivering client-facing features, driving cross-functional collaboration, and leveraging AI tools to enhance workflows, ultimately transforming retail data into actionable insights.

As a Senior Software Engineer, you'll design data pipelines, oversee architecture for release infrastructure, and guide a team of engineers while ensuring systems are scalable and auditable.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Lead the architecture, design, and implementation of a high-performance data processing engine focused on large-scale data processing.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

The Senior Software Engineer will scale open-source data infrastructure, handle data lifecycle tasks, and support internal and external products.

Design and build foundation-scale datasets and training recipes; develop human and machine labeling methods; create continuous data intake and automated data collection/model update pipelines; evaluate real-world model performance and detect regressions; maintain ground-truth-free performance metrics.

Lead multi-year data strategy and architecture for Perception, drive cross-org technical decisions, establish governance and APIs, solve complex data problems (active learning, automated curation), and mentor senior engineers to scale ML data infrastructure and systems.

You will build scalable data pipelines for processing large datasets, optimize training throughput, and evolve data storage solutions at XPENG.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

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.

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

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.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

The Sr. Software Engineer will own the perception data infrastructure for autonomous vehicles, dealing with large 3D datasets and ensuring high data quality for ML models. Responsibilities include architecting core data platforms, optimizing real-time data rendering, and collaborating across functions to enhance engineering efficiency.

As a Research Engineer, you conduct pioneering research in autonomous systems and develop models using large-scale data and advanced simulators, collaborating with scientists and contributing to high-quality publications.

The Lead Data Infrastructure Engineer will scale and improve the reliability of data infrastructure, build data processing pipelines, and store large-scale data for machine learning models, particularly in energy forecasting.

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 role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

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.