Map, track, and monitor the European healthcare and life sciences ecosystem, particularly around agentic AI, to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote best practices for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in your designated ecosystem.
Proven experience leading, partnering, and scaling developer programs at major technology companies, Healthcare and Lifesciences ISVs, or within relevant verticals.
Significant technical proficiency in Healthcare and Lifescience high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.
Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd
Hands-on experience building or optimizing life science or healthcare specific solutions (e.g., building and orchestrating AI scientists, clinical development workflows, building voice pipelines for clinical understanding, embedding clinical documentation in LLMs).
Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as BioNeMo Agent Toolkit, NVIDIA Agent Toolkit, Open Models, Agent Harnesses, Training methodologies, model deployment tooling and inference optimization...)
Track record in crafting and implementing systems for real-time processing and low-latency decision-making.
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
Deep knowledge of healthcare and clinical research data standards such as HL7, FHIR, DICOM and enterprise requirements such as HIPAA, GDPR around privacy and security.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
