Software Engineer Jobs in Santa Clara, CA

Develop full-stack web applications with a focus on data visualization and AI integration, collaborating closely with cross-functional teams to create prototypes and production-ready implementations.

As a Software Engineer at Snowflake, you will design and develop full-stack features for the Marketplace platform, collaborating with cross-functional teams and ensuring high performance and user satisfaction.

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

The Senior AI Software Engineer will optimize LLM inference performance, analyze bottlenecks, develop optimization methods, and collaborate with teams on compiler and GPU improvements.

As an iOS Software Engineer, you will design, develop, and optimize mobile applications, ensuring high-quality user experiences through clean coding and testing practices.

We are hiring a Software Engineer to develop and maintain backend components for PayPal's Venmo Commerce. Responsibilities include writing clean code, participating in code reviews, and collaborating with peers to improve system performance.

The R&D Software Engineer I develops software for medical devices, participates in development teams, and ensures compliance with design and quality standards.

Seeking a software engineer with robust Python skills to develop scalable services, handle data processing, and ensure HIPAA compliance. Collaboration and innovative problem solving are key aspects of the role.

The Software Engineer implements tasks in the Software Development Lifecycle, collaborates with peers, and contributes to code and design reviews.

Develop and integrate tools for simulating and testing robots. Work with customer teams to enhance workflows and user interfaces.

As a Senior Software Engineer in Release Infrastructure, you'll enhance software delivery processes by improving automation, tooling, and developing internal platforms while ensuring system reliability and supporting critical systems.

Develop security infrastructure, architect systems for data management, mentor junior engineers, work on product security, and collaborate widely within the team.

Design and build high-performance, reliable, and scalable network acceleration software while contributing coding skills and distributed systems knowledge.

The Software Engineer will design and develop solutions for cloud efficiency, build tools for monitoring and analysis, optimize resource utilization, and collaborate across teams to improve operational visibility.

Develop high-performance software for robotic surgical systems, focusing on real-time control and system architecture while collaborating across engineering teams.

As a Full-Stack Software Engineer, you'll develop features across the Fireworks platform, engage with users, and drive product development to address business problems.

Lead and develop APIs, applications, and backend systems focusing on performance and scalability. Collaborate with cross-functional teams to meet product goals.

Develop production-quality software for NVIDIA's AI stack, analyze performance, mentor juniors, and innovate across AI applications.

Lead engineering efforts across software, DevOps, and infrastructure. Solve complex problems, integrate systems, and provide tooling for operational reliability.

Collaborate with engineering teams to optimize software architecture for autonomous vehicles, develop algorithms, and conduct in-vehicle tests.

Design and develop GPU driver features, solve performance issues, and collaborate with global teams, requiring strong systems software expertise.

Develop GPU-accelerated software for real-time DNA sequencing analysis. Implement neural network algorithms on GPUs and optimize performance. Collaborate in a fast-paced team environment.

As a Staff Front-End Software Engineer, you will develop accessible user interfaces for web applications, collaborating with product and design teams to enhance user experiences.

The role involves developing a dynamic resource allocation system for GPU VMs in cloud infrastructure, enhancing efficiency and user productivity.

The Software Engineer will work independently and collaboratively on software applications, focusing on code quality, scalability, and problem resolution while adhering to SDLC best practices.