Software Engineer Jobs in Sunnyvale, CA

The Software Engineer will design and develop middleware for autonomous vehicles, focusing on performance optimization and collaboration across teams to ensure code quality and functionality.

Lead transaction reconciliation efforts, develop scalable ledger infrastructure, implement payment flows, and own backend platform projects end-to-end.

Lead and mentor engineering efforts to build scalable payment solutions, ensuring accuracy across financial systems, and manage backend platform projects.

NVIDIA seeks a Senior Software Engineer to develop SOC drivers, automation tools, support OS driver development, and collaborate globally on complex systems.

As a Senior Software Engineer, you'll design and implement scalable cloud-based systems, improve features, and ensure security and performance for extensive AI workloads.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Design, build, and deploy ML infrastructure components for autonomous vehicles, focusing on model training pipelines and optimizations.

The role involves developing scalable web applications, collaborating with teams, mentoring junior engineers, and leading projects, focusing on UI frameworks and server-side JavaScript.

The role involves architecting solutions across multiple services, building scalable systems, and engaging in all software development aspects, with a focus on Generative AI and ML infrastructure.

The Junior Software Engineer will work on the Data Management platform, coding, testing, and documenting features while gaining experience in network programming.

The Senior Software Engineer will design and develop high-performance storage and distributed systems, ensuring efficiency and conducting performance testing.

As a Senior Software Engineer, you will ensure system reliability and performance, design and maintain infrastructure, mentor team members, and drive innovations for cost-efficiency.

Design and develop APIs and distributed payment services, ensure system reliability, collaborate with teams, and resolve complex challenges.

The role involves developing Samsung Exynos AP software, diagnosing issues, customer support, and collaborating with cross-functional teams.

Join Palo Alto Networks as a Senior Software Engineer to design, develop, and maintain secure systems and data pipelines for the Cortex Xpanse team, ensuring proactive security measures in external attack surface management.

Develop core infrastructure services and microservices, enhance performance and observability, and influence engineering roadmaps.

As a Principal Software Engineer, you will design and improve UI for Palo Alto Networks' Cloud Management Platform, collaborate across teams, develop high-performance applications, and ensure code quality while supporting continuous improvement.

Architect and build a robust design system, integrating front-end and back-end technologies, optimizing for AI, and collaborating with product teams. Lead documentation and advocate for quality standards.

Develop core systems software focused on performance, reliability, and efficiency. Collaborate with engineers to align development with business needs.

The Staff Software Engineer will design and maintain scalable platforms, mentor engineers, and ensure software quality and performance in a fast-paced environment.

Develop algorithms for state estimation, engineer robust C++ software for data fusion, and analyze positioning system performance with real-world data.

The role involves building AI agents for HR and Finance, collaborating in a cross-functional team, and mentoring others while owning functional areas of the platform.

As a Senior Software Engineer in Compliance, you'll enhance customer data security by addressing infrastructure gaps, lead cross-functional teams, and represent Databricks at industry events.

The Senior Software Engineer - IAM at Databricks will enhance data security, lead engineering efforts, and represent the company in industry forums.

The role involves leading the design and implementation of multi-stage ML training systems for autonomous vehicles, optimizing training processes and collaborating with various teams.