Full-Time

Senior Developer Relationship Manager

Autonomous Vehicles

Posted on 4/11/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$184k - $356.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Category
Developer Relations
Required Skills
Python
Tensorflow
CUDA
Pytorch
C/C++
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
Desired Qualifications
  • Experience with World Foundational Models and other generative modeling techniques for Physical AI.
  • GPU-based libraries, frameworks, tools, SDKs and infrastructure for model training and inference.
  • GPU-powered simulation platforms, such as NVIDIA Omniverse, Unreal Engine, or Unity.
  • Direct experience working on ADAS/AD software stacks (e.g., perception, sensor fusion, path planning) and knowledge of automotive standards like ISO 26262.
  • Strong understanding of the enterprise AI landscape and the challenges faced by autonomous vehicle developers in embracing new AI technologies at scale.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Data centers generate 89% of $215.9B FY2026 revenue.
  • $40B acquisitions like OpenAI bolster AI infrastructure dominance.
  • Nemotron models and Drive Thor accelerate agentic AI adoption.

What critics are saying

  • AMD MI450X outperforms Blackwell by 25% per watt in inference.
  • Huawei Ascend 910D blocks $10B China AI sales due to bans.
  • Google TPU v6 cuts hyperscaler GPU dependency by 60%.

What makes NVIDIA unique

  • NVIDIA invented GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and HPC.
  • Holds 92% discrete GPU market share as of Q1 2025.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
Apr 14th, 2026
D-Wave CEO claims quantum computers could challenge Nvidia's AI dominance with superior power efficiency

D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.

Yahoo Finance
Apr 14th, 2026
Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.

Yahoo Finance
Apr 14th, 2026
Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.

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