Top Software Engineer Jobs

Develop and maintain AI tooling systems for space stations, focusing on frontend customizations, AI integration, and full-stack feature implementation.

The role involves building and improving AI products for enterprise applications, collaborating with researchers, and addressing user needs for adoption and functionality.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

Drive development of AI systems for education, enhancing grading, analytics, and student engagement. Collaborate with teams to architect scalable solutions.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

Build features for the AI platform, collaborate with teams, evaluate technical solutions, and mentor junior members in scalable software engineering.

Contribute to AI workflows and modernize Vista ERP platform. Develop full-stack solutions and automate code generation. Collaborate with engineering teams.

Develop software features and products using AI tools, collaborate with teams, design user interfaces, and engage in quality assurance.

Lead the design and implementation of AI and analytics solutions, managing cross-functional teams and ensuring alignment with technical standards and enterprise objectives.

The role involves leading the AI Observability team to develop a platform for monitoring and evaluating AI systems, collaborating with various teams, and fostering a high-performance engineering culture.

The Web Developer will create and maintain ecommerce storefronts, implement AI tools, and collaborate with teams to meet client needs and optimize solutions.

Lead the development of AI software resiliency features, optimizing system reliability for large-scale AI supercomputers, coding in C++ and Python, collaborating across teams, and managing deployments.

Design and implement compiler optimizations for deep learning inference, collaborate with framework and GPU architecture teams, define APIs, analyze performance, and deliver efficient AOT and JIT compilation for AI workloads across platforms.

The Principal Engineer will develop AI tools for scientific authoring, enhance document workflows, and collaborate with scientists for AI integration in regulatory and manuscript submissions.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Lead Technical Architect responsible for designing and implementing AI infrastructure solutions, managing data center deployments, and automating workflows with a focus on performance and scalability.

As a Senior Software Engineer, you will architect scalable backend systems for personalized marketing, collaborating with cross-functional teams to enhance messaging applications and deliver billions of tailored messages.

As a Software Engineer I, you'll collaborate with senior engineers to design and build AI-driven personalized messaging systems, write efficient code, debug production issues, and contribute to documentation, all while gaining hands-on experience in software engineering and AI applications.

The Full Stack Developer will design and develop enterprise-grade web applications, focusing on integrating AI technologies and collaborating with cross-functional teams to enhance user experiences.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

Design and build scalable full stack applications using Node.js and React. Collaborate with teams to enhance features, optimize performance, and maintain robust systems.

The Principal AI Architect leads the design and development of AI architectures, strategies, and projects while mentoring teams and integrating solutions into production environments.

The role involves leading large-scale projects, driving application development, providing architectural guidance, mentoring teams, and ensuring compliance with standards in AI and technology.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.