As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
You will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. This involves optimizing algorithms, collaborating with application developers, and working with NVIDIA's architecture and research teams to influence future GPU designs.
Develop pre-silicon software models of AI accelerator hardware to support architecture design, performance analysis, and early software development. Work collaboratively across hardware, software, and machine learning teams using a co-design methodology. Contribute to the development of high-performance computing solutions for large language models.
This role involves leading FPGA and system-on-chip design for advanced gimbal payload systems, including video processing, sensor interfaces, and real-time control. You will work closely with software, control, and mechanical engineering teams to develop in-house solutions from prototype to production.
This role involves designing, developing, and evaluating advanced algorithms for image processing, computer vision, and deep learning. You will work on cutting-edge imaging sensor technologies, collaborate with cross-functional teams, and support the integration of algorithms into larger systems.
The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating these models into user-facing features. The role also involves collaborating with developers and infrastructure engineers to build scalable data pipelines and contribute to feature development.
This role involves designing, developing, and deploying secure AI and ML solutions for autonomous and mission-critical systems. Responsibilities include building machine learning models, supporting autonomous capabilities with ROS 2, and ensuring adherence to Responsible AI and safety standards.
As an AI Developer Technology Intern, you will work on cutting-edge deep learning, machine learning, and data analytics projects, optimizing performance on GPU architectures. You'll collaborate with key customers and NVIDIA teams to influence the design of next-generation AI solutions and software platforms.
This role involves leading software development projects, participating in multidisciplinary teams, and providing subject matter expertise in AI and computer vision. Responsibilities include project planning, software design, development, testing, and deployment, as well as contributing to continuous improvement and technical documentation.
Lead the technical direction of AI systems in high-stakes environments, focusing on computer vision, edge AI, and AI assurance. Work with multi-modal sensors and NVIDIA Jetson platforms to develop robust real-time tracking solutions. Contribute to research, prototyping, and best practices across the AI engineering lifecycle while mentoring junior engineers and collaborating with cross-functional teams.
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.
