Top Software Engineer Jobs

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

As a Senior Engineer, you will ensure the reliability and scalability of CrowdStrike's services, develop libraries, improve architecture, lead initiatives, and implement automation tools while collaborating across teams.

As a Software Development Engineer, you will enhance sensor features for security in cloud environments, focusing on performance and reliability through collaboration and best practices.

The role involves applying AI and machine learning methods to enhance NAND digital design and verification workflows, improving quality and performance. Responsibilities include interpreting specifications, developing AI-assisted techniques, and collaborating with engineering teams to correlate silicon data and document insights.

The Senior Software Engineer will design and develop AI-powered solutions, focusing on LLM technologies and collaborating with teams to enhance product features.

As an Applied AI Engineer, you will develop and lead ML projects, shipping features and models that assist major companies in making intelligent compensation decisions.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead the design and development of AI-enabled solutions, mentor engineers, and ensure operational excellence in a collaborative environment.

As a Senior NLP Data Engineer, you will design and optimize data pipelines, automate workflows, and support machine learning systems, focusing on unstructured text data.

The Sr. Director will lead software engineering efforts in integrating banking systems, manage teams, implement AI technologies, and oversee migrations to AWS.

The Senior Software Engineer will develop and support AI and agent platforms, improve architectural patterns, and mentor team members while integrating AI technologies across Sprout's ecosystem.

The role involves leading the design and delivery of Java-based microservices for real-time trading platforms, ensuring code quality, mentoring engineers, and collaborating with various teams.

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

The Senior Engineering Excellence and AI Enablement Director manages engineering productivity through AI tools, workflow improvement, and cross-functional collaboration.

Build and enhance AI Meeting Notes to optimize data capture, improve summaries, ensure reliability, and deliver enterprise-ready workflows. Own end-to-end product development.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

Lead a diverse portfolio of technology projects, manage a team, deliver cloud-based solutions, and mentor other engineers in AI Infrastructure and Tooling.

As a Software Engineer for AI Agent, you will deploy production-grade AI agents, tune system prompts, and monitor live deployments to ensure quality. The role involves collaboration across teams to meet customer needs quickly and effectively, focusing on real-world environments and outcomes.

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

As a Principal Software Engineer, lead the design of AI/ML platforms, drive technical excellence, mentor engineers, and ensure operational efficiency.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

Design and develop AI conversational agents and intelligent search systems. Collaborate on scalable AI solutions, mentor team members, and enhance existing products.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.