[Remote] Senior Developer Relations Manager, Genomic Platforms at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Genomics, Biotechnology, Artificial Intelligence, Computer HardwareIndustries

Requirements

Candidates must possess a Master's or Ph.D. in bioinformatics, computational biology, computer science, or a related field, or equivalent experience, with 8-10+ years of professional experience in software engineering, developer relations, or technical partnerships. This includes 5+ years of direct hands-on experience in sequence alignment and assembly, gene prediction and functional annotation, gene expression analysis, multi-omics integration, and comparative genomics. Proven experience leading and scaling developer programs at major technology companies or life science data platform ISVs is required, along with significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks. Excellent interpersonal skills for communicating complex technical concepts to diverse audiences and experience leading technical collaborations with engineering and product teams are essential. The ability to structure and implement complex technical engagements, negotiate requirements, and prioritize issues is also necessary.

Responsibilities

The Senior Developer Relations Manager will serve as a trusted technical advisor and champion for the developer ecosystem in genomic platforms, driving adoption of NVIDIA's AI and computing technologies. They will accelerate critical workloads by demonstrating solutions that integrate the NVIDIA stack, and advise on technical enablement resources like sample code and demonstration pipelines for bioinformatics and genomics. Responsibilities include guiding partners and startups through onboarding, mapping and tracking the developer ecosystem for growth opportunities, and collaborating with internal teams to drive developer engagement. The role involves engaging with partner engineering teams to solve technical challenges, representing partner technical needs to NVIDIA's internal teams, and influencing product roadmaps with field insights.

Skills

Developer Relations

Genomic Platforms

Computing Platforms

Technical Advising

Problem Solving

NVIDIA Technologies

Bioinformatics

Genomic Variant Analysis

Multi-omics Data Integration

Population Genomics

Go-to-Market Strategy

Developer Advocacy

Technical Enablement

Sample Code

API Integration

Partner Management

Cross-functional Collaboration

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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