Data Engineer Jobs in Fremont, CA

Develop and implement features in VLM data infrastructure, collaborate with ML teams to address issues in data processing, and design scalable solutions for model improvement.

Design and implement data engineering solutions, build data pipelines, and partner with teams to enhance data-driven initiatives within a modernized data ecosystem.

The role involves designing and implementing data acquisition and processing pipelines, improving data quality, and enhancing data pipeline infrastructure in robotics at Google Deepmind.

The role involves building data strategies, collaborating on model evolution, and designing data storage systems to enhance foundation model training for autonomous driving.

Develop software for performance and stability of localization systems, analyze data for insights, and enhance validation tools for autonomous driving.

As a Senior Data Engineer in Cloud Gaming, you'll optimize data processing services, enhance performance, build data systems, and train other engineers.

As a Senior Data Engineer, you will lead projects, design and maintain scalable data architectures using cloud technologies, and collaborate with stakeholders to enhance data solutions and business intelligence capabilities.

The Staff Software Engineer will curate data, build ETL workflows, automate processes, and serve as a liaison between scientific and engineering teams to enhance research data management.

The role focuses on improving Ray Data's performance, ensuring scaling of data pipelines, building data solutions for AI workloads, and enhancing fault tolerance.

The Data Engineer will architect and maintain a data warehouse, optimize ETL processes, ensure data governance, and collaborate with stakeholders for data-driven decision making.

As a Staff Business Intelligence Engineer, you will design and code ELT/ETL pipelines, develop dashboards, maintain data models, optimize query performance, and mentor team members.

The Principal Product Manager will lead the strategy for data platforms, enhancing data accessibility and usability while coordinating with engineering teams to optimize operations and improve scalability for Adobe products.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

The AV Safety Data Reporting Engineer gathers, analyzes, and reports safety data, ensuring compliance with regulations while collaborating with various teams to maintain safety standards.

As a Software Engineer II, you'll design, build, and maintain data infrastructure and pipelines, optimize data processing systems, and collaborate across teams to ensure high-quality data accessibility and security.

The Senior Data Engineer will implement quality data solutions, build pipelines, analyze raw data, develop tools, and collaborate with teams to meet business objectives.

The Senior Software Engineer will design and implement AI systems for safety data, ensuring usability, scalability, and performance while collaborating with cross-functional teams to enhance platform safety.

As a QA Engineer, you'll validate AI applications, manage test data, develop test strategies, and ensure quality performance of AI systems.

As an AI Applications and Data Science Engineer, you will develop AI applications, predictive models, NLP chatbots, and data automation solutions, enhancing user experiences and optimizing data processes.

The Senior Software Engineer will manage data lifecycles, design foundational datasets, ensure data quality, and collaborate across teams to enhance data transparency and governance.

Design and develop ML/DL algorithms and architectures for automated data analysis, build scalable ETL pipelines, and work collaboratively on projects.

The Principal Engineer will design and develop data-plane applications for Prisma Access, enhancing security features cloud-wide while mentoring teams and troubleshooting issues.

The role includes backend development for threat intelligence analysis, optimizing data pipelines, and collaborating on product integration.

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

The role entails designing, developing, and managing data platforms, analytics, and AI services in a multi-cloud environment, focusing on SaaS products and security.