Software Engineer Jobs in San Jose, CA

Analyze and optimize LLM models for performance in NVIDIA frameworks, implementing algorithms for inference, serving, and deployment, while collaborating with various teams.

The Senior Robotic Software Engineer will develop software for robotic surgical systems, focusing on real-time control and safety-critical applications while collaborating with various engineering teams.

We are building collaborative AI software agents to enhance engineering efforts, focusing on solving significant problems with advanced AI technologies.

Provide user support for NVIDIA's open-source robotics platform, focusing on troubleshooting, documentation, and user feedback to improve simulation workflows.

Responsible for feature enablement on GPU systems, developing software tools for multi-GPU interconnects, and collaborating with hardware and software teams on firmware design and testing.

Design and implement ultra-low-latency cloud streaming networking and QoS algorithms, collaborate with data center and vendor partners, build network models and KPIs, analyze user experience metrics, and optimize routing and congestion control for real-time media.

The role involves designing and building large-scale distributed systems for the Cohesity Data Platform, focusing on backend development in a hybrid work environment. Candidates will leverage their expertise in C++ and infrastructure to tackle engineering challenges.

The Senior AI Software Engineer will build AI evaluation systems, focusing on deployment and orchestration workflows, data pipelines, and integration of AI frameworks, collaborating across teams for effective system evaluations.

The role involves building and maintaining AI infrastructure, developing data pipelines, and collaborating with engineering teams to enhance AI evaluation tooling.

The Software Engineer will develop and scale backend Java-based services for AI-powered customer support, collaborating with various teams.

The role involves building consumer products, optimizing user experience, architecting product infrastructure, and influencing company strategy in a collaborative environment.

As a Software Developer Intern, you will create a team management database, integrate with Oracle Agile and MS Outlook, and collaborate with IT and Change Analysts to enhance system processes.

Seeking a Sr. Java Engineer with experience in Java, Node JS framework, and NoSQL (especially MongoDB) for delivering enterprise projects. Strong communication, team collaboration, and self-learning skills are essential.

Developing environments for testing GPU and SoC features, collaborating across teams, and participating in the chip development lifecycle.

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

Design and implement scalable software systems, mentor junior engineers, and integrate automated testing while collaborating to improve platform performance and resilience.

The Principal Software Engineer will design and implement UI components, mentor teams, and integrate AI into work processes while ensuring quality and scalability.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

As a Backend Software Engineer at PayPal, you will develop applications for the Checkout team, implementing features, enhancing performance, and collaborating with cross-functional teams to deliver high-quality solutions.

The Senior Software Engineer at PayPal will design, build, and scale payment experiences, develop full stack applications, and lead technical discussions.

Design and deliver frontend features for the Machine Identity Cloud platform, ensuring high quality applications and collaboration with backend teams, while improving development practices and tool efficiency.

Design and implement Intel's neuromorphic AI software stack, optimizing compilers, integrating with ecosystems, and improving software quality across teams.

Develop and advance GPU compute performance analysis tools across Linux, Windows, and embedded OSes. Design, implement, and verify profiler features, write reliable high-performance code, collaborate with internal/external teams, perform peer reviews, and document requirements and designs.

The role involves designing, implementing, and debugging NVIDIA's software stack, focusing on GPU diagnostics, with deep hardware understanding and collaboration across multiple teams.

The role involves integrating sensors into autonomous driving software, developing user experience, and performance optimization, requiring collaboration across teams.