[Remote] Senior Developer Relations Manager - Life Science Data Platforms at NVIDIA

Massachusetts, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Biotechnology, Artificial Intelligence, Computer ScienceIndustries

Requirements

Candidates must possess a Master's or Ph.D. degree in computational chemistry, computational biology, computer science, or a related field, or equivalent experience. A minimum of 8-10+ years of professional experience in the technology industry is required, including 5+ years of hands-on experience in drug discovery, data automation, laboratory informatics, and agentic agents. Proven experience leading and scaling developer programs at major technology companies or life science data platform ISVs is essential, along with significant technical proficiency in high-performance computing, cloud, AI/ML, and vertical-specific frameworks. Excellent interpersonal skills for communicating complex technical concepts to diverse audiences and experience leading technical collaborations are also necessary.

Responsibilities

The Senior Developer Relations Manager will act as a trusted technical advisor and champion for the developer ecosystem in life science data platforms, driving the adoption of NVIDIA's AI and computing platforms. This role involves accelerating critical workloads by demonstrating solutions, advising on technical enablement resources like sample code and guides, and guiding partners and startups through integration with NVIDIA's programs. Responsibilities include mapping and monitoring the developer ecosystem, collaborating with internal teams to drive engagement, representing partner technical needs to NVIDIA's product and engineering teams, and influencing product roadmaps with field insights.

Skills

Developer Relations
AI
Computing Platforms
Technical Advising
Problem Solving
NVIDIA Technologies
Life Science Data Platforms
Laboratory Informatics
Agentic Agents
Lab-in-the-Loop Workflows
Reinforcement Learning
Go-to-Market Strategy
Developer Advocacy
Technical Enablement
Sample Code
API Integration
Cloud Computing
Software Development

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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