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.

The Intern will help enhance GenAI-powered workflows for ASIC development, create scripts in Python and Perl, and work with multi-functional teams to boost design efficiency.

The role involves designing, developing, and deploying user-facing experiences for the Enterprise Generative AI Platform, emphasizing UI engineering and Python development, while collaborating with cross-functional teams.

Lead the development of AI-driven solutions, design system architecture, build APIs, and collaborate with cross-functional teams to enhance customer experiences at Airwallex.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The role involves optimizing network software for Arm architectures, mentoring customers on performance techniques, and writing reports and documentation.

Lead the development of AI chat solutions, build integrations with GM systems, mentor junior engineers, and address technical challenges in customer support.

Develop AI-assisted tools for Datadog developers, focusing on generating tests, fixing bugs, and improving performance with LLM integration.

Assist in developing, testing, and maintaining software applications, collaborate with teams on features, troubleshoot bugs, and document processes.

Lead diverse technology projects and a team of developers in creating solutions to meet regulatory needs, leveraging full stack systems and cloud-based 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.