Top Software Engineer Jobs

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.

Design and implement advanced data management and AI-driven solutions, manage database systems, ensure reliability, and drive data initiatives.

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.

The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

Seeking a Technical Artist skilled in Generative AI to create photorealistic content and manage complex node-based workflows. Responsibilities include asset delivery, video generation R&D, and collaboration with production teams.

The role involves scaling and optimizing a Generative AI product by designing APIs, enhancing infrastructure, and collaborating with cross-functional teams. Responsibilities include implementing metrics and tracing frameworks to monitor performance and usability while fostering coding best practices.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.