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Top Software Engineer Jobs
As a Fullstack Software Engineer at Demandbase, you will deliver AI products, apply the latest AI technologies, build interactive applications using React and CSS, set up backend infrastructure with Terraform, and develop APIs with Java SpringBoot. You will work in a mature team environment emphasizing agile principles and product mindset.
This internship at NVIDIA allows students to work on impactful projects in artificial intelligence and deep learning. Interns will engage in developing algorithms, frameworks, and software solutions, with a focus on applications in autonomous vehicles and robotics. The role requires strategic and creative thinkers passionate about tackling complex challenges.
In this role, you'll lead a small team to develop scalable APIs and applications for a new purchase order management system. Responsibilities include software monitoring, troubleshooting production issues, reviewing design and code changes, and implementing both frontend and backend solutions using modern technologies like Python and React.
As a Senior Quality Engineer, you will work closely with the AI team to create test plans, evaluate AI models, establish standards for quality, and develop scalable evaluation processes. You will mentor team members and ensure collaboration across departments, enhancing tools that assist creators with audio and video content.
The Senior Applied AI Engineer will design, develop, and deploy AI applications focusing on language models and general AI. Responsibilities include implementing production-grade AI solutions, improving application performance, and training the team on emerging technologies.
As a Senior Software Engineer, you will develop user-friendly front-end experiences and enhance backend functionalities using Python and Javascript. You'll mentor fellow engineers and contribute to high-data volume pipeline solutions while integrating data across software services and utilizing Generative AI technologies.
As a Principal AI/ML Engineer at Raft, you will develop machine learning models and pipelines for a computer vision platform supporting the DoD. Responsibilities include collaborating with cross-functional teams, designing training and deploying ML models, and building data pipelines. You are expected to have extensive experience and strong problem-solving skills to innovate and optimize machine learning objectives.
The Software Engineer is responsible for designing, developing, and testing complex software systems. They mentor team members, lead projects, communicate effectively, and integrate Generative AI into business processes, while participating in Agile ceremonies and continuously improving processes and systems.
Featured Jobs
The Sr. Product Engineer will improve ArcGIS Pro by integrating AI functionality, developing test cases, and troubleshooting issues. Responsibilities include collaborating with teams to design AI Copilot experiences, maintaining automated test suites, and researching advancements in AI application development.
The Product Engineer II role focuses on developing AI-assisted functionalities for ArcGIS Pro, involving design, testing, and collaborating with a cross-functional team. Responsibilities include researching AI capabilities, implementing test cases, and contributing to user experience enhancements for AI applications.
As a Senior Software Engineer, you'll contribute to designing and implementing an AI Copilot for ArcGIS Pro, focusing on developing AI models and algorithms, processing natural language, and collaborating with cross-functional teams to deliver innovative solutions and high-performance software.
Join our team as a Product Engineer I working on Generative AI for ArcGIS Enterprise. Contribute to automation framework development, collaborate with teams, triage software issues, and engage with feature teams to deliver high-quality software. Requires Python programming experience, knowledge of NLP, and a Bachelor's degree in GIS, geography, engineering, computer science, or related fields.
As an AI Research Scientist at Zoom, you will be shaping the future of AI through groundbreaking research. You will work on AI projects, collaborate with teams, and contribute to the growth of the AI research community.
As an AI Solutions Field Engineer, you will sell complex technology solutions focused on AI to various industries. Responsibilities include developing sales strategies, building relationships, presenting AI solutions, collaborating with internal teams, and providing sales forecasts.
As a Principal Gameplay Engineer, you will collaborate with designers and engineers to enhance player experience through AI/ML technologies. Responsibilities include developing multiplayer game systems, mentoring junior engineers, and ensuring high-quality game content delivery.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
As an Application Development Engineer, you will build and implement software tools and machine learning models, focusing on NLP and LLM applications. Responsibilities include data processing, model design and optimization, collaborating with teams, and presenting insights to stakeholders.
The Genesys AI Architect connects AI product management with customer-facing teams, leveraging deep technical knowledge to support sales, develop product content, and drive ACV bookings. Responsibilities include pre-sales support, technical guidance for product management, and creating AI-driven solutions.
The Senior Azure AI Architect will design and implement secure, scalable cloud solutions leveraging AI and machine learning. Responsibilities include creating architectures, integrating AI models, optimizing cloud performance, and collaborating with cross-functional teams to deliver high-quality solutions.
The role involves architecting and delivering CCaaS solutions on Genesys Cloud, leveraging AI for customer needs. Responsibilities include pre-sales engagement, providing technical leadership and guidance to customers to maximize platform benefits and solution effectiveness.
As a Hardcore Engineer, you will build distributed systems for training large AI models, develop environments for agents, and optimize frameworks for data processing and inference. You will collaborate on complex engineering tasks and enhance AI model capabilities.
As a Principal Engineer for the ML/AI Platform, you will design, build, and maintain AI/ML platforms, mentor junior engineers, and implement strong technical strategies while optimizing machine learning operations for business needs.
The Manager AI and Data Engineering will lead a team of data engineers and data scientists, managing the development of data pipelines, and automation using AI methods. Responsibilities include ensuring high performance, collaborating with AI R&D teams, maintaining data integrity across products, and advising leadership on AI-driven strategies.
As a Senior Software Development Engineer, you will build scalable AI infrastructure for Zillow's products, focusing on the entire machine learning lifecycle from experimentation to production. Responsibilities include collaborating with various teams and enhancing the infrastructure by utilizing technologies like Kubernetes and Spark.
As an AI for Code Research Scientist, you will improve models and research for real-world problems by prototyping concepts and running experiments, collaborating with a team to drive foundational research direction.
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