Top Software Engineer Jobs

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.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

The Senior Software Manager will lead a customer-focused engineering team in AI Networking to enhance NVIDIA's networking capabilities, support customer deployments, and grow the team's impact and skills.

Design and develop AI-driven web products, APIs, and backend services while collaborating with product teams. Requires full-stack development experience.

The Senior Software Engineer will lead data engineering initiatives, design scalable web services, and mentor teammates while ensuring technical alignment with business goals.

As a GTM AI Engineer, you will design AI systems to enhance GTM activities, develop scalable AI applications, and manage data infrastructures. Collaborate with teams to automate processes and optimize AI systems for improved performance.

Lead a team of data engineers in modernizing data infrastructure using cloud and AI technologies, ensuring data quality and governance while driving efficiency.

The AI Enablement Engineer will design and build internal tools and AI-powered systems for client deployments, utilizing a full-stack approach. Responsibilities include creating deployment tooling, integrating AI solutions, and operating with high autonomy to identify problems and develop effective solutions.

As a Senior Engineering Manager, you will lead product engineers in enhancing AI-driven SMS marketing solutions for ecommerce brands, focusing on team management, technical mentorship, and operational efficiency.