You will develop and optimize scalable library software for GPU and CPU accelerated data processing, focusing on performance tuning and benchmarking. You'll work closely with leadership and partners to enhance library features and performance, contributing to NVIDIA's cutting-edge AI and HPC projects.
As a Senior Software Engineer, you will develop high-performance video and AI processing pipelines for use in the operating room, leveraging hardware acceleration and working in a multidisciplinary team to ensure robust and safe-by-design software for medical devices.
As a Senior Software Engineer in Medtronic's AI and Data Science Platform team, you will design, build, and maintain software solutions that enable machine learning engineers and data scientists to develop new products. You will work on a SaaS tool for project, data, and annotation management, collaborate with data and platform engineers, and ensure high-quality, scalable software delivery.
Develop AI-driven video processing solutions within a deep tech environment, focusing on scalable media delivery and real-time systems. Work with Python and modern cloud infrastructure, integrating AI and video technologies to enhance content delivery. Collaborate on building maintainable, tested software for immersive media platforms.
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms and contribute to the design of next-generation hardware and software at NVIDIA.
This role involves developing software across desktop, embedded, robotics, and cloud platforms, with exposure to computer vision, AI, high-performance computing, and IoT. The engineer will work in an interdisciplinary team using C++ and C#, solving complex technical problems in real-world industrial applications. It offers hands-on integration of software and hardware with strong support for learning and career growth.
This role involves deploying and testing computer vision and ML systems in live environments, turning research models into production-grade software, and planning specialized data collections. You will also brief non-technical stakeholders on the capabilities and limitations of the technology.
This role involves deploying and testing computer vision and ML systems in live environments, turning research models into production-grade software, and planning specialized data collections. You will also brief non-technical stakeholders on the capabilities and limitations of the technology.
Develop and execute validation strategies for ADAS functions within Wayve’s AI Driver system, using simulation and real-world testing to ensure safety and performance. Define metrics, test coverage, and acceptance criteria in collaboration with cross-functional teams. Analyze results and drive validation processes from concept to implementation in a fast-paced, innovative environment.
This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and development, contributing to the creation of safe and efficient autonomous vehicles.
The Director of Software Engineering will lead a global software development organization, fostering a unified engineering culture across multiple locations. Key responsibilities include driving AI adoption, ensuring high-quality product delivery, and managing engineering budgets and resources.
The Program Manager will lead the design, development, and implementation of advanced Agentic AI systems, collaborating with cross-functional teams to deliver innovative solutions. Responsibilities include conducting research, optimizing models, mentoring junior engineers, and staying updated with the latest AI trends.
Develop and advance AI-driven interactive avatars using diffusion models, focusing on real-time video generation, audio conditioning, and contextual responsiveness. Work within a research-forward team to translate cutting-edge generative AI into scalable product features. Responsibilities include improving lip-sync accuracy, motion realism, and building evaluation frameworks for long-form interactive video.
This role involves prototyping, building, and implementing new AI approaches, as well as evaluating their quality and efficiency. You'll work in a dynamic R&D team at a leading AI company, focusing on data-driven solutions to AI problems.
This role involves developing and applying cutting-edge NLP and machine learning techniques to study online disinformation and build an AI-powered chatbot for stakeholders such as journalists and policymakers. The researcher will work within European-funded projects, collaborating with a multidisciplinary team and contributing to high-impact publications and real-world policy tools. A strong emphasis is placed on translating technical findings into practical outputs and engaging with non-technical stakeholders.
