Top Software Engineer Jobs

Manage complaint records for SaMD applications, ensure audit readiness, perform trend analysis, and coordinate quality aspects of software releases while collaborating with cross-functional 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 Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead the software and data architecture for diverse defense programs; ensure technical direction and mentor staff while developing complex IT solutions from proof-of-concept to production.

The role involves leading the development of AI solutions, mentoring other engineers, and delivering robust cloud-based solutions in a collaborative environment.

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.

The Lead AI Java Engineer will architect, design, and develop scalable solutions for capital markets, focusing on building resilient microservices and leveraging AI tools for productivity.

The role involves leading the design and delivery of Java-based microservices for real-time trading platforms, ensuring code quality, mentoring engineers, and collaborating with various teams.

The role involves designing, developing, and testing scalable microservices for electronic trading in the financial sector, utilizing Java and AI technologies.

Lead the design and development of high-performance electronic trading platforms, collaborating with various stakeholders to ensure scalable solutions while managing risk and compliance.

As a Software Engineer Lead, you will design and develop AI solutions, lead tech teams, and ensure high-quality NLP capabilities. You'll integrate AI services into enterprise platforms and guide best coding practices.

Responsible for defining engineering practices, leading teams, and driving AI transformation initiatives within the organization while ensuring Agile methodologies and quality standards are upheld.

The Software Engineer Lead will design and manage large-scale GPU infrastructure, lead advanced Linux administration, and collaborate on complex platform issues while providing technical guidance and mentorship.

You will build AI-first iOS experiences, improve app reliability, collaborate with cross-functional teams, and ensure efficient engineering practices.

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.

Design and develop full stack applications leveraging AI tools. Ensure system resiliency and scalability while leading technical initiatives and collaborating across teams.

The Senior Engineering Excellence and AI Enablement Director manages engineering productivity through AI tools, workflow improvement, and cross-functional collaboration.

Build and enhance AI Meeting Notes to optimize data capture, improve summaries, ensure reliability, and deliver enterprise-ready workflows. Own end-to-end product development.

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

The Senior Software Engineer for Support AI will develop voice and chat systems for customer support, driving projects from concept to production, while collaborating across teams and improving AI capabilities through integration and data insights.

The role involves developing AI-assisted product experiences for Datadog by building systems for chat, remediations, and codefixes, alongside collaboration with cross-functional teams to enhance user outcomes.

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.

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.