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NVIDIA

Senior Developer Relations Manager – Healthcare AI

NVIDIA

. Serve as a trusted technical advisor, problem solver, and champion for the Healthcare and Lifesciences developer ecosystem .

Posted 9/17/2026full-timeRemote • Switzerland, United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Healthcare and Lifesciences high-performance computing, AI/ML, and developer relations, with a strong ability to lead technical collaborations and drive adoption of NVIDIA technologies. Proven track record in building developer communities and implementing technical enablement programs tailored to the healthcare ecosystem.

Highest-signal resume keywords
Healthcare And Lifesciences High-Performance ComputingAI/ML IntegrationTechnical PartnershipsDeveloper Program LeadershipHealthcare Data Standards Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringTechnical MentorshipArchitectural DesignCode ReviewsReal-Time Processing SystemsLow-Latency Decision-MakingTechnical Enablement ProgramsComplex Technical EngagementsNVIDIA TechnologiesCloud Computing
Soft Skills
Problem SolvingCollaborationCommunicationNegotiationTechnical Advocacy
Tools & Technologies
BioNeMo Agent ToolkitNVIDIA Agent ToolkitOpen ModelsAgent HarnessesModel Deployment ToolingInference OptimizationSample CodeDemonstration PipelinesGuidesTraining Methodologies
Industry Keywords
HealthcareLifesciencesClinical DevelopmentRegulatory SubmissionsHIPAAGDPRHL7FHIRDICOMCross-Specialty Agent Orchestration

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Serve as a trusted technical advisor, problem solver, and champion for the Healthcare and Lifesciences developer ecosystem
  • Drive adoption of NVIDIA technologies with multifunctional partners
  • Demonstrate groundbreaking solutions integrating the NVIDIA stack into developer products, platforms, and pipelines
  • Advise on technical enablement resources, including sample code, guides, demonstration pipelines, and tools
  • Highlight applications including scientific reasoning, pharmaceutical clinical development, trial matching, regulatory submissions, ambient clinical documentation, and cross-specialty agent orchestration
  • Guide customers, partners, and startups through onboarding and integration with NVIDIA programs
  • Foster co-innovation and development of next-generation solutions
  • Map, track, and monitor the European healthcare and life sciences ecosystem, particularly around agentic AI
  • Identify growth opportunities, inform technology roadmaps, and shape adoption strategies
  • Collaborate with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption
  • Engage partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote integration best practices
  • Represent partner technical needs and feedback to NVIDIA product and engineering teams
  • Supply actionable field-deployment insights to influence product roadmaps

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
  • Minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, or technical partnerships
  • 5+ years of direct hands-on experience in the designated ecosystem
  • Proven experience leading, partnering, and scaling developer programs at major technology companies, Healthcare and Lifesciences ISVs, or relevant verticals
  • Technical proficiency in Healthcare and Lifescience high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries
  • Ability to distill complex technical concepts for technical and non-technical audiences
  • Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and technical talks or workshops
  • Ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders
  • Hands-on experience building or optimizing life science or healthcare-specific solutions
  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms, including BioNeMo Agent Toolkit, NVIDIA Agent Toolkit, Open Models, Agent Harnesses, training methodologies, model deployment tooling, and inference optimization
  • Track record crafting and implementing systems for real-time processing and low-latency decision-making
  • Successful history building and scaling developer communities and delivering technical enablement programs
  • Knowledge of healthcare and clinical research data standards such as HL7, FHIR, and DICOM
  • Knowledge of privacy and security requirements such as HIPAA and GDPR

Benefits

Comp & perks
  • Competitive salaries
  • Generous benefits package