Senior Developer Relationship Manager - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

8+ overall years of experience at a major technology company building or driving integrations of Software and SDKs into products
Advanced degree in a STEM field or equivalent experience in Computer Science, Electrical Engineering, or a related field. MBA or proven experience
Experience leading and driving strategic partnerships with automotive companies with proven results
Hands-on experience (as a software engineer or technical product manager) in one or more of these areas: enterprise scale software development, data pipeline automation, full stack, AI model training, or synthetic data generation
Extraordinary interpersonal skills with a proven track record to articulate a value proposition to technical and non-technical audiences
Experience in structuring and negotiating sophisticated agreements, including working with internal and external commercial and legal teams to complete agreements
Consistent track record to blend discernment, customer focus, and excellence on new technologies
Hands-on experience with C++, Python, CUDA, and deep learning frameworks (e.g., PyTorch, TensorFlow)
Deep understanding of AI model development lifecycles, from data pipelines and training to optimization and deployment on edge devices

Responsibilities

Assist with technical product engagement with senior technical leaders at strategic automotive partners, from innovative startups to established OEMs and Tier 1 suppliers. Serve as a primary DevRel point of contact
Develop and communicate a detailed technical understanding of NVIDIA’s three core pillars: DGX, Omniverse, and DRIVE AGX including NVIDIA AI Enterprise. Incorporating standard methodology guides, and hands-on workshops for industry events, partner training and executive briefings
Assist with early-access software integrations with key partners, providing hands-on support and debugging to ensure successful deployment and feedback collection
Champion partner requirements, constraints, architectural patterns, and feature gaps to internal product and engineering teams. Contribute to product roadmap decisions by synthesizing insights from large-scale enterprise environments and cross-industry patterns, acquired through partner engagements
Partner management to navigate partner orgs and foster direct relationships with decision makers, influencers, champions and execs to drive impactful decisions
Build trust across all levels of partner groups to ensure alignment and dedication
Enable commercial discussions with ISV partners with NVIDIA Sales, Legal, and Product teams
Support product launch and go-to-market activities with the Partner’s and NVIDIA Marketing and Sales teams

Skills

NVIDIA DGX

NVIDIA Omniverse

NVIDIA DRIVE AGX

NVIDIA AI Enterprise

DevRel

Software Integration

Debugging

AI Training

Simulation

Synthetic Data Generation

Sensor Data Processing

Architectural Patterns

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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