Top Software Engineer Jobs

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.

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.

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 role involves building generative AI-powered applications, developing APIs, managing user-facing apps, and integrating various services and tools, emphasizing full-stack engineering expertise.

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

Lead the development and implementation of applications systems, coordinate teams, provide technical expertise, and resolve complex business problems, particularly in the financial services sector.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

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 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.

Design and build intelligent agentic AI capabilities, create scalable services, optimize workflows, and ensure systems align with compliance and operational excellence.

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.

Design, implement, and maintain scalable backend services. Collaborate across teams to build customer features and optimize data systems. Responsible for ensuring service reliability and performance tuning.

As a Software Engineer in Generative AI, you will design, develop, and test software applications, utilizing Python and other modern technologies to deliver high-quality products. You'll work in cross-functional teams, focusing on user needs and product vision, while staying current with software development trends.

The role involves collaborating with customers to enhance AI workloads, leading technical engagements, and developing AI solutions, while optimizing performance on NVIDIA's GPU technologies.

Develop tools for AI performance and efficiency, including profiling, debugging, and benchmarking for GPU clusters. Collaborate with various teams to optimize software and hardware solutions.