Top Software Engineer Jobs

The Lead Software Engineer will architect and develop a scalable AI platform, mentor peers, and integrate generative AI solutions into enterprise applications.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

Develop and maintain AI-enabled applications, integrate AI tools, collaborate for technical solutions, and promote best practices in software development.

Lead a team of engineers to improve search quality and ranking within Notion's platform, focusing on algorithms and user experience. Responsible for project execution and fostering team growth.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

The role involves customer technical engagement, system design, and support related to NVIDIA's GPU products, ensuring customer satisfaction and product success.

The Data Engineer will design and deliver data services, collaborate with various teams, and research big data technologies to enhance mission system capabilities.

As an Engineer II Full Stack, you will design and build scalable products for the advisors onboarding platform, collaborating with various teams to ensure successful implementation.

As a Senior Software Engineer focused on AI tools, you will develop applications, automate processes, and mentor junior engineers while ensuring security and efficiency in a high-growth environment.

The Software Engineer will design and build data infrastructures and pipelines, focusing on AI workflows and optimization for retrieval and query expansion.

The AWS Lead Software Engineer is responsible for software development and AI/ML solutions, ensuring operational stability and leading teams in technical problem-solving.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

The Industry 4.0 Engineer designs and implements IoT and automation solutions to optimize manufacturing. Responsibilities include data analytics, process analysis, and team training.

Lead AI/ML development for vehicle motion control at GM; collaborate cross-functionally, mentor engineers, and ensure project delivery.

Responsible for developing web applications, collaborating with team members to define requirements, and providing technical support. Focus on using various programming languages and AWS cloud services.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Develop AI-native web applications, leveraging APIs to simplify code generation and improve user experience while collaborating in a fast-paced team.

As a Senior Full Stack Engineer, you will develop AI-powered tools and enhance Postman's API Network, focusing on both frontend and backend improvements.

As an AI Engineer, you will shape Cloudflare's AI strategy by developing AI-powered applications, collaborating across teams to enhance developer tools, and building scalable AI solutions.

Lead a team of 12-20 engineers in managing AI integrations for Dropbox's File Sync & Share product, emphasizing software quality and operational excellence while collaborating across teams.

Manage a team to train state-of-the-art AI models, work with clients on solutions, and improve products with data-driven insights.

As a Senior Lead Software Engineer, you will provide technical guidance, develop secure production code, influence product decisions, and contribute to a diverse engineering culture.

As a Software Engineer on the AI Tools team, you'll improve productivity by integrating AI tools into workflows, developing software, and collaborating across teams.

Lead the development and implementation of AI-powered coding tools, driving technical strategy and ensuring system performance across distributed applications.