Top Software Engineer Jobs

Lead Software & AI Engineer responsible for designing, developing, and deploying software solutions integrating AI/ML. Requires extensive experience in cloud-native development and DevSecOps.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

You'll build high-performance frontend experiences and work across the full stack on a core part of our Physical AI product, taking end-to-end ownership of projects.

Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript. Collaborate closely with product and AI/ML teams, ensuring performance optimization and a focus on high-quality code deployment.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.

The Staff Software Engineer will lead the development of data-driven solutions, collaborate with cross-functional teams, mentor junior engineers, and drive improvements in APIs and architecture for Airbnb's Marketplace Data and AI team.

The role involves driving the architecture and evolution of the Search product at Databricks, collaborating across teams, mentoring engineers, and ensuring high-performance systems for AI applications.

The Senior Engineer, AI and Automation role involves designing AI-powered systems, maintaining infrastructure, building integrations, and establishing MLOps while collaborating with various teams on enterprise applications.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

As a Founding Full-Stack Engineer, you'll build AI-native systems, integrating LLMs, prototyping quickly, and collaborating to influence engineering standards and culture.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Solutions Engineer partners with various teams to capture requirements, manage agile backlogs, design solutions, and enhance workflows through iterative improvements.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

The Software Development Manager leads a full-stack engineering team to integrate AI capabilities into product experiences, focusing on frontend and backend development, team coaching, and ensuring quality delivery.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Contribute to applications systems analysis and programming for financial risk management, implementing application systems, collaborating with stakeholders, and building software with Python and AI tools.

The Principal Digital Architect will lead the architecture strategy for Mattel's digital ecosystem, focusing on e-commerce and AI transformation, guiding teams to innovate and implement enterprise-scale solutions.

The Staff Technical Program Manager will coordinate software development for XPENG’s AI-driven vehicles, optimize agile practices, and manage program risks while tracking KPIs and OKRs.

The role involves building AI platform capabilities, mentoring engineers, collaborating with teams, and scaling systems for large datasets as part of a legal tech transformation.

The Senior Backend Engineer will design and implement core services and AI infrastructure, create REST APIs, and develop ingestion pipelines while collaborating with cross-functional teams to enhance the AI platform for hardware product development.

This role involves building production-grade React applications with TypeScript, developing a component library, collaborating on API integration, and shaping frontend architecture for an AI-powered hardware product platform.

As a Senior Full Stack AI Engineer, you will build and maintain AI systems, integrate LLMs, and manage system architecture in a senior engineer role.

Lead engagement with business teams to develop AI-driven internal applications, managing everything from discovery to production and ensuring high adoption post-launch.

Design, develop, and maintain backend services while creating robust APIs. Collaborate with teams, mentor engineers, and enhance application performance and documentation.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.