Serve as the technical leader inside AI-CoE, driving the architecture, design, and delivery of enterprise AI solutions, influencing global AI technology direction.
Lead discovery sessions with business stakeholders to identify opportunities, define problem statements, assess process and data readiness, and translate business needs into scalable AI solutions.
Lead the full AI solution lifecycle, from discovery, architecture, and prototyping through development, deployment, adoption, and continuous improvement.
Partner closely with the global team to align & own enterprise AI architecture, engineering standards, and technology strategy.
Architect, design and develop enterprise-grade AI solutions, including agentic AI systems, multi-agent workflows, tool integrations and workflow automations.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.
Compensation
The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Requirements
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
Nice to have: Experience with NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA
Nice to have: Integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems
Senior Software Technical Program Manager, CUDA Robotics
Lead sophisticated software and platform programs spanning NVIDIA CUDA Robotics, accelerated computing and Physical AI, translating product roadmaps into executable plans and driving programs from development through ecosystem adoption.
Compensation
The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
Responsibilities
Translate product and technology roadmaps into executable plans
Establish achievements and ownership
Lead multi-functional dependencies and risks
Drive programs from development through integration, validation, release, and ecosystem adoption
Collaborate with Software Development Managers, Engineers, Product Marketing, Customer Program Management, Solution Architects, and Quality Assurance
Digitalizzazione, annotazione, elaborazione e interpretazione computazionale dei preparati istologici della coorte di studio
Sviluppo di modelli integrati che combinino dati morfologici, molecolari e clinici
Applicazione di algoritmi di Image Analysis, Machine Learning e Deep Learning per l’identificazione, la segmentazione, la classificazione e la caratterizzazione quantitativa di strutture tissutali e cellulari
Requirements
Laurea magistrale in Informatica
Laurea magistrale in Ingegneria Informatica
Laurea magistrale in Matematica
Laurea magistrale in Fisica
Dottorato di ricerca (PhD) in ambito biomedico, AI applicata alla sanità o discipline affini
This role involves testing AI models and software for diverse use cases using various methodologies, generating ground truth data, developing reference materials, and building robust testing frameworks.
Compensation
Salary: $95,000 - $145,000, annual salary
Responsibilities
Test AI models and software for diverse use cases
Generate ground truth data
Develop reference materials and annotated datasets
Build a robust testing framework to ensure high quality standards
Engage with internal customers to identify challenges
GenAI/LLM Application DeveloperNewAbb · Ostrava, Czechia
Sr. AI/ML EngineerUnitedHealth Group · Remote, US+2 more
Ricercatore Computational Pathology Scientist (Rif. RCPS_26 CCC)UPMC Global Operations Center Limited · Palermo, Italy
Gen AIZensar · India, India