Top C++ Jobs in Atlanta, GA

The Firmware Engineer will develop high-quality MCU firmware for solar-powered devices, ensuring functionality and integration across platforms while collaborating with internal and external teams.

Lead the design and implementation of systems for a real-time ML-based advertising stack, mentor engineers, and drive architectural direction.

The Backend Engineer will develop observability products, drive feature development, mentor teammates, and enhance engineering standards within the Release Monitoring team.

The Staff Backend Engineer will lead the development of OXIO's telecom platform, focusing on backend systems, architecture, and scalable solutions. They will utilize multiple languages and cloud services while collaborating with stakeholders to innovate telecom apps.

Develop, maintain, and deploy quantum applications software tools for real-world use cases while collaborating with internal and external partners.

Lead the development of cloud-based video surveillance systems, overseeing architecture, design, coding, testing, and mentoring junior engineers.

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.

As a Backend Engineer, you will design and build secure backend systems, develop APIs, and collaborate with teams to ensure high performance and security in data processing.

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.

As a Software Engineer, you will design and implement features for personalized offer recommendations and collaborate with various teams to enhance user engagement and growth strategies.

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

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

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.

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

The Engineer will enhance developer productivity by creating and maintaining tools for the software development lifecycle, collaborating with teams to improve workflows, and ensuring efficient development processes.

As an AI Kernel Engineer, you will design and optimize high-performance kernels for ML applications, leveraging low-level programming and collaborating with cross-functional teams to drive performance improvements in AI infrastructure.

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.

Seeking talented Backend Software Engineers to develop solutions for large scale problems and manage project deliverables in machine learning infrastructure.

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.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.