Top Software Engineer Jobs

Design and develop full stack applications, integrating AI into workflows, mentoring team members, and managing software quality and support.

Join Cadence as a Software Engineer II to enhance the Virtuoso platform's routing capabilities, leveraging machine learning and advanced algorithms in a collaborative environment.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

As a Principal Software Engineer, you'll own platform-scale initiatives, shape AI direction, ensure reliability in distributed systems, and mentor others.

Assist in building Power Apps and Automate workflows while gaining exposure to AI and low-code solutions. Document solutions and support automation initiatives.

The IT AI Innovation Engineer will design and maintain AI-driven software systems, build workflows, collaborate across teams, and ensure security in development practices.

The Software Development Engineer II focuses on integrating AI technologies into geospatial software, developing tools for automation, and collaborating with teams for innovative features.

Develop and implement AI-powered tools for automating survey research workflows, focusing on integrating AI technology and efficient data processing.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Forward Deployed Sustainability Engineer, you'll engage with product teams and customers to develop AI solutions that enhance corporate sustainability efforts.

The Lead Application & Product Architect will design and drive architecture for tax services, review code, lead modernization efforts, ensure security compliance, and communicate design tradeoffs to technical and leadership teams.

The Product Frontend Engineer will design and build scalable applications, own features end-to-end, and collaborate with teammates to integrate AI-driven capabilities.

The Senior Staff AI Software Engineer will architect an AI-native pharmacy benefits platform, focusing on software development, system design, and mentoring junior engineers.

As a Lead Application & Product Architect, you will independently execute architectural tasks, develop technical specs, lead integration evaluations, and ensure project quality through expertise and leadership.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

Lead customer onboarding and implementation of AI Simulation solutions, establish reference architectures, support technical escalations, and drive enterprise deployment best practices.

This role involves designing and delivering AI-enhanced software solutions, optimizing development processes, and collaborating with teams for timely project delivery.

The role involves developing and scaling AI-driven software systems, collaborating with teams, and ensuring high performance and availability of AI components across various platforms.

This role involves building tools for AI Agent development, architecting processing pipelines, and enhancing developer experiences with client-side tools. Requires collaboration and problem-solving skills.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

The Lead Full Stack Engineer will design and operationalize AI agents, architect microservices, lead root cause analysis, and mentor engineers while focusing on AI-driven transformation in financial services.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

The role involves designing AI systems, integrating machine learning models, automating tasks, and collaborating on product integration. Participation in risk assessment and compliance is also required.