Software Engineer Jobs in Santa Clara, CA

Lead the development of embedded firmware for DSP hardware, manage project milestones, and ensure software product success through architecture, design, and testing.

This role involves leading developer evangelism for AI technologies, fostering developer communities, advocating for developers, and delivering presentations to promote Intel's software solutions.

The Software Engineer will design and implement embedded networking solutions for IoT devices, integrate wireless protocols, and develop C-based firmware while collaborating with cross-functional teams.

Develop and manage Junos Operating System infrastructure, engaging in design, implementation, and testing for on-device management of Juniper products.

Develop and optimize computer vision software and SDK for the Programmable Vision Accelerator, providing technical leadership and collaboration with customers.

Develops and documents software, designs projects, troubleshoots issues, interfaces with customers, and compiles data for reports.

Responsible for designing and implementing NVLink kernel and microcode, supporting new platforms, and collaborating with various teams to troubleshoot issues.

Design, build, and optimize GPU-accelerated software for AI applications focusing on deep learning inference. Collaborate on high-performance model optimization and contribute to NVIDIA libraries and frameworks.

Develop high-level chip models, test APIs, and analysis tools while improving workflows and coordinating functional testing for GPUs.

As a Senior Full Stack Engineer, you'll design and maintain backend and frontend systems, leveraging AWS services and leading architectural decisions while mentoring team members.

The role involves designing and implementing automated tests, tools for NVIDIA software products, and optimizing testing workflows with an emphasis on AI technologies.

The role involves designing and maintaining infrastructure for large-scale AI systems, enhancing system efficiency, and optimizing reliability metrics.

Design and build scalable AI infrastructure, improve architecture and performance, collaborate with teams, and contribute to advancements in AI technologies.

Develop and deliver high-performance computing software for bioinformatics applications, optimizing performance on GPU architectures and collaborating with partners.

Develop and implement services, tools, and libraries for enhancing engineering productivity while ensuring security and compliance of IP. Responsible for the full lifecycle of security tooling from architecture to production deployment.

Develop and maintain scalable Go programs for NVIDIA's GPU management tools across various platforms. Support software development lifecycle for cloud-native applications.

As a Senior Full Stack Software Engineer, you will develop scalable event technology platforms using modern frameworks and agile methodologies, while mentoring junior engineers and maintaining production systems.

Join Zoom's Digital Transformation Office as a Fullstack Engineer to build cloud-native solutions for CPQ and Order to Cash, focusing on generative AI. Lead efforts to enhance enterprise applications and drive digital innovation.

Build and improve backend services through API design and implementation, technical leadership, and collaboration with product and design teams, ensuring quality and resiliency.

Lead and architect systems impacting sales, order, finance, and support teams. Design solutions between AWS and Salesforce, improve data reliability, mentor juniors.

Design, develop, troubleshoot, and debug software for network and system components. Collaborate with teams to meet software requirements and specifications. Mentor junior engineers and lead development activities.

Design and develop open-source AI frameworks, optimize large-scale AI training, collaborate with teams, and improve AI libraries for enhanced performance.

Design and deploy software frameworks for autonomous vehicles, lead integration efforts, provide technical expertise, and mentor engineering teams.

Design and develop user-facing features for web applications, optimizing performance and collaborating with teams to deliver high-quality UX.

As a Principal Data Processing Engineer, you will enhance a data processing engine, collaborate on open-source platforms, and optimize performance.