Top Software Engineer Jobs

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

The intern will support software development for spacecraft systems, engage in collaborative projects, and gain practical experience in programming, debugging, and code reviews.

As a Distinguished Engineer, you will lead technology solutions in the Servicing Platform space, focusing on modernization, security, performance, and usability while mentoring and influencing engineering teams.

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

Lead the design and implementation of AI-driven operations for telecommunications, focusing on automation, cross-functional collaboration, and team management.

Design and implement applications using BigData technologies and distributed systems on cloud services. Develop AI-powered applications and manage data synchronization.

The Staff Software Engineer will design and maintain ML inference runtimes, lead architectural initiatives, and collaborate with teams to optimize system performance and scalability.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

As a Senior Software Engineer, you will lead projects involving Machine Learning and AI technologies, collaborate with cross-functional teams, and design user-centric features to enhance enterprise automation.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

Design, build, and maintain globally distributed, fault-tolerant backend microservices and data pipelines. Integrate and refine Large Language Models, collaborate cross-functionally, ensure high-quality code, testing, monitoring, and mentor other engineers while owning features end-to-end.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

As a Distinguished Engineer, lead technical visions, optimize solutions, mentor others, and drive innovation across Capital One's engineering teams.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

The role involves applying AI and machine learning methods to enhance NAND digital design and verification workflows, improving quality and performance. Responsibilities include interpreting specifications, developing AI-assisted techniques, and collaborating with engineering teams to correlate silicon data and document insights.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead modernization and cloud transformation of applications to AWS, establish AI-native engineering strategies, and mentor engineering teams on full-stack development using modern frameworks.