Top Senior C++ Jobs in San Diego, CA

The Senior Software Engineer will develop, test, and debug low-level Windows kernel features, improving product stability and user experience while addressing complex technical challenges.

Lead development of secure, scalable backend systems for data analytics and machine learning. Architect infrastructure and guide technical decisions across teams.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The role involves leading the development of advanced hypervisor features, optimizing virtualization strategies, troubleshooting, and mentoring junior engineers with a focus on performance and security.

As a Distributed Systems Engineer, you will architect and build scalable data infrastructure and lead cross-functional projects at Netflix.

Develop and optimize high-performance, real-time gaming applications on cloud platforms, ensuring system performance and ownership of projects from start to finish.

Design, develop, and maintain cloud gaming infrastructure, optimizing performance for hardware and network efficiency while leading complex software projects.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

As a Senior Software Engineer for Windows at The Browser Company, you'll develop Dia, ensuring a polished UI, optimize performance, and collaborate across teams.

Developers will create and enhance database features, troubleshoot performance issues, and improve scalability, contributing to the growth of YugabyteDB.

Develop fault-tolerant quantum solutions and contribute to the development of next-generation quantum algorithms while collaborating with teams and customers.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

As a MAX Platform Tooling Engineer, you'll design debugging tools, improve developer experience, and collaborate closely with compiler teams to enhance productivity in AI infrastructure.

The Solutions Architect will help customers integrate AI and simulation pipelines for robotics, engage in technical guidance, and drive adoption of NVIDIA technologies in industrial applications.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Develop compute infrastructure for robotics research, manage large compute jobs, optimize GPU utilization, and collaborate on scalable training pipelines.

The role involves optimizing perception systems and machine learning algorithms for autonomous vehicles, ensuring robust real-time performance and efficient processing across different hardware platforms.

Manage a team of engineers to develop image and data processing solutions, overseeing project goals, roadmap, and ensuring delivery while fostering innovation.

Lead the architecture, design, and implementation of DGX cloud clusters. Oversee technical activities, infrastructure workflows, and ensure software integration for AI applications.

Develop high-performance dense linear algebra software for GPUs, provide technical leadership, and enhance library quality and performance.

Seeking a Senior Full Stack Engineer to build user-friendly software for circuit board automation, focusing on both frontend and backend development.

Drive process improvement, coach colleagues, and manage features in a distributed system for cloud automation and software operations.

The Senior Tools/Technical Artist will bridge art and engineering, writing tools in Python and C++, optimizing workflows, and collaborating across teams to enhance game aesthetics and efficiency.

Lead the UI development of Dia for Windows, ensuring seamless integration with Windows features. Contribute to architecture and user experience decisions.

Develop and enhance the core product by writing efficient code for data ingestion, model building, and feature development. Collaborate with the Scaling team to optimize algorithms for performance.