Role at a glance
- Salary
- $224K – $431.3K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- A minimum of 12+ years of overall professional experience
- Education
- MS or Ph.D degree or equivalent experience in Computer Science, Machine Learning, Clinical Informatics, Computational Medicine, Data...
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Role Summary
The Senior Developer Relations Manager will support NVIDIA Digital Health by engaging healthcare AI researchers and developers across industry and academia and promoting adoption of NVIDIA AI and accelerated computing platforms. The role will help drive a collaborative digital health consortium focused on industry-relevant benchmarks and synthetic evaluation recipes for AI models and agents.
What You'll Do
- Serve as a technical advisor and advocate for researchers and developers across the digital health ecosystem
- Demonstrate and integrate NVIDIA software tools, libraries, SDKs, NIMs, and blueprints into research platforms, applications, and pipelines
- Provide sample code, evaluation harnesses, and training recipes to support partner onboarding, integration, and co-innovation
- Map and monitor the researcher ecosystem to identify opportunities involving healthcare AI agents, foundation models, evaluation,...
- Create open benchmark datasets, synthetic data generation pipelines, model evaluation harnesses, fine-tuning recipes, technical papers,...
- Represent NVIDIA at research conferences, industry forums, hackathons, technical meetups, and partner events
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Senior technical experience in AI/ML and healthcare AI, with expertise in digital health research, developer programs, AI model architectures, research collaborations, and technical communication.
Required
- MS or Ph.D degree or equivalent experience in Computer Science, Machine Learning, Clinical Informatics, Computational Medicine, Data...
- 12+ years of overall professional experience in AI/ML, applied research, software engineering, developer relations, technical...
- 5+ years of direct hands-on experience in healthcare AI, digital health, or life sciences AI
- Track record in leading developer programs across healthcare research organizations
- Technical depth in LLMs, VLMs, speech models, agentic workflows, pre+post-training, and inference optimization
- Experience leading research collaborations involving architectural design, model evaluation, benchmark design, code reviews, technical...
- Ability to structure and implement technical engagements, negotiate requirements, prioritize issues, and collaborate across product,...
- Ability to distill deeply technical concepts for researchers, engineers, product leaders, and executives
Preferred
- Hands-on experience building or optimizing clinical foundation models, healthcare speech systems, or digital health agents
- Familiarity with NeMo, Nemotron, MONAI, Parabricks, and BioNeMo
- History of building and scaling developer communities and research collaborations in healthcare AI
- Expertise in frameworks for capturing developer and researcher sentiment, market shifts, and ecosystem dynamics
- Published research, patents, standards work, public datasets, open benchmarks, or open-source contributions in healthcare AI
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are seeking a highly technical and strategic Senior Developer Relations Manager to join NVIDIA Digital Health, with a focus on engaging researchers and AI developers across industry and academia who are building AI for digital health.
In this pivotal role, you will work directly with healthcare AI developers to champion the adoption of NVIDIA’s AI and accelerated computing platforms. The ideal candidate brings a blend of deep research expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, research and real-world deployment challenges. A core initial mission will be to help drive a collaborative digital health consortium focused on industry-relevant benchmarks and synthetic evaluation recipes for digital health AI models and agents.
What You'll Be Doing:
Develop and maintain deep technical expertise in digital health AI. Serve as the trusted technical advisor, problem solver, and champion for researchers and developers across the digital health ecosystem. Work with cross-functional partners to drive adoption of NVIDIA technologies.
Accelerate digital health AI research workloads by demonstrating and integrating the NVIDIA software stack, including tools, libraries, SDKs, NIMs, and blueprints, into research platforms, applications, and pipelines.
Guide partners and research collaborators through onboarding and integration by providing technical resources such as sample code, evaluation harnesses, training recipes to accelerate research and foster co-innovation.
Map and monitor the researcher ecosystem to identify growth opportunities, including healthcare AI agents, foundation models, model evaluation, synthetic data generation, post-training, inference, and deployment tooling.
Engage research leaders across academia and industry to drive best-practice integrations, resolve technical challenges, surface new workflows, and channel critical field insights back to NVIDIA product teams.
Help create open benchmark datasets, reproducible synthetic data generation pipelines, model evaluation harnesses, fine-tuning recipes, technical papers, and blogs.
Represent NVIDIA at research conferences, industry forums, hackathons, technical meetups, and partner events while supporting early access programs, product launches, go-to-market activities, and lighthouse collaborations.
What We Need to See:
MS or Ph.D degree or equivalent experience in Computer Science, Machine Learning, Clinical Informatics, Computational Medicine, Data Science, Electrical Engineering, Applied Math, or a related technical field.
A minimum of 12+ years of overall professional experience in AI/ML, applied research, software engineering, developer relations, technical partnerships, product management, or solution architecture, including 5+ years of direct hands-on experience in healthcare AI, digital health, or life sciences AI.
Proven track record in leading developer programs across healthcare research organizations.
Significant technical depth in AI tools and model architectures including LLMs, VLMs, speech models, agentic workflows, pre+post-training, and inference optimization.
Experience leading research collaborations with engineering, product, and research teams, including architectural design, model evaluation, benchmark design, code reviews, technical mentorship, and delivery of technical talks or workshops.
Ability to structure and implement technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators across product, engineering, research, sales, legal, privacy, and marketing teams.
Skilled at distilling deeply technical concepts for audiences from researchers and engineers to product leaders and executives, with high empathy for developers and researchers and comfort working in a fast-paced, highly matrixed environment.
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing AI solutions, such as clinical foundation models, healthcare speech systems, or digital health agents in production or research settings.
Familiarity with accelerated computing and AI platforms relevant to healthcare AI, such as NeMo, Nemotron, MONAI, Parabricks and BioNeMo.
Successful history of building and scaling developer communities and research collaborations in healthcare AI.
Expertise in building frameworks to capture developer and researcher sentiment, market shifts, and ecosystem dynamics, translating real-time signals into healthcare AI strategy and product roadmap input.
Published research, patents, standards work, public datasets, open benchmarks, or open-source contributions in healthcare AI.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.