Developer Relations Manager, HER BioSciences

NVIDIA
Santa Clara, United States
Workplace: RemoteFull timeUSD 152,000 - 241,500 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: phdSkills: ["Communication","Collaboration","Presentation","Strategic thinking","Problem-solving"]

Lead researcher engagement initiatives, translating cutting-edge AI and computing platforms into impactful, publication-worthy outcomes by partnering with leading bioscience labs and cross-functional teams to drive adoption of NVIDIA technologies in life sciences.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Developer Relations Manager, HER BioSciences

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead researcher engagement initiatives, translating cutting-edge AI and computing platforms into impactful, publication-worthy outcomes by partnering with leading bioscience labs and cross-functional teams to drive adoption of NVIDIA technologies in life sciences.
Location: Santa Clara, United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects
  • •Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies
  • •Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas
  • •Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement
  • •Represent the needs of researchers internally by translating academic feedback into actionable insights that build product development, education programs, and platform roadmaps

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity
Perks:EquityBenefits

Key Requirements

  • •PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, Biology, Bioengineering, or related field; or equivalent experience
  • •3+ years of experience
  • •Deep expertise in applying AI to life sciences (protein design, genomics, transcriptomics, structural biology, molecular simulation, etc.)
  • •Strong proficiency in AI methods for life sciences (protein language models, sequence models, graph neural networks, diffusion models, multimodal models, generative models for molecules/proteins)
  • •Understanding bioscience research workflows, omics pipelines, structure prediction, target discovery, wet-lab collaboration, and reproducibility
Experience:3+ yearsLife sciencesAIBiomedical research
Education:PhD / Doctorate
Skills:CommunicationCollaborationPresentationStrategic thinkingProblem-solving
Languages:English
Tech Stack:CUDACUDA-XNVIDIA AI EnterpriseNIMNeMoBioNeMoCuQuantumOmniverseIsaacRAPIDSTensorRTTritonDGX

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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