Top Software Engineer Jobs

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The Full Stack Engineer will help advance the AI roadmap and support the launch of new enterprise customers while working on a remote team.

The Senior AI Frontend Engineer will design and implement user interfaces using modern web technologies, ensuring intuitive and elegant user experiences while owning features end-to-end, collaborating across teams to bridge AI capabilities with frontend design.

The Staff AI Frontend Engineer will architect scalable front-end systems, own user-facing features, bridge AI capabilities with user experiences, and use AI tools to prototype design concepts.

Join Klarity as an AI Frontend Engineer to build production UI components, collaborating with senior engineers and designers, while learning about AI-powered workflows and modern frontend development.

The AI Implementation Specialist will work onsite to connect AI tools with field teams, capture field intelligence, and enhance construction workflows through technology. This includes training, evaluating tech, and providing insights to improve operational effectiveness.

The AI Implementation Specialist will leverage AI tools in construction, shadow project teams to understand workflows, and synthesize insights to improve technology integration on jobsites.

The AI Implementation Specialist will integrate AI tools within construction teams, enabling them to work smarter and capturing expert knowledge to inform technology development. Responsibilities include shadowing project teams, evaluating contech tools, and conducting training sessions on AI workflows for field personnel.

As an Applied AI Software Engineer, you'll design scalable systems, write high-quality code, ensure system reliability, and utilize AI to enhance user experiences while mentoring team members.

Design and develop full stack applications, integrating AI into workflows, mentoring team members, and managing software quality and support.

Join Cadence as a Software Engineer II to enhance the Virtuoso platform's routing capabilities, leveraging machine learning and advanced algorithms in a collaborative environment.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

As a Senior Product Engineer, you will develop web applications, APIs, and AI workflows, collaborating from conception to delivery and owning the entire process.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.

You will build and maintain AI-native application features, working with a team of AI and backend engineers to ensure quality and innovation.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

As an Agent Engineer, you will design and build intelligent systems that enhance creative workflows using AI technologies, ensuring reliability and usability across text, image, and video integrations.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

Develop Python-based ML components for spatial data quality, design robust software, and collaborate in an Agile environment.

The Software Development Engineer II focuses on integrating AI technologies into geospatial software, developing tools for automation, and collaborating with teams for innovative features.

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.