Top Software Engineer Jobs

The AI Agentic Software Engineer will design, build, and operate AI-driven agents for Xfinity applications, enhancing customer experience and workflows.

The Software Engineering Manager will lead a backend engineering team for AI agent systems, oversee people management, and provide hands-on technical contributions. Responsibilities include ensuring team health, delivering production-ready systems, and guiding architectural decisions while also collaborating with product and design teams.

As a Software Engineer, you'll build AI-driven software solutions for various internal teams, emphasizing customer collaboration and problem-solving.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

Design and implement data-driven and AI-assisted systems for manufacturing execution, develop workflows, and improve operational decisions. Collaborate with teams for effective deployment.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

As the Engineering Director, you will lead teams developing content generation features for the Gemini App, integrating generative AI capabilities, and driving product innovation and daily usage.

As a Senior AI Enablement Engineer, you'll design AI infrastructure, build scalable systems, ensure compliance, and promote AI adoption across teams.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Responsible for gathering and implementing payment solutions, collaborating with teams, managing client interactions, and ensuring customer satisfaction and quality standards.

Technical, hands-on co-op/internship supporting Capital Markets teams: analyze business requirements, design and develop end-to-end code solutions, implement actionable desk tools, apply AI knowledge, and present results to stakeholders. Collaborate in fast-paced teams to improve efficiencies across trading and markets functions.

Lead Appian implementation teams, design scalable platform architectures, mentor developers, guide Agile/DevSecOps practices, integrate web services and RDBMS, produce best-practice documentation, and support client-facing technical strategy and delivery.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Lead Appian implementation teams to design, develop, and test scalable solutions. Advise clients on architecture, DevSecOps, integrations, and configuration management. Mentor teams, create best practices, support internal tools, and drive process improvement.

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Lead AI-driven development efforts, modernize engineering processes to enhance quality and speed in software development, and implement best practices for AI tools.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.