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NVIDIA logo

Technical Lead, DevRel - Autonomous Vehicles

NVIDIA

Technical Lead, DevRel - Autonomous Vehicles

NVIDIA logo

NVIDIA

full-time

Posted: November 5, 2025

Start Date: November 5, 2025

Number of Vacancies: 1

Job Description

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced Technical Product Manager to evangelize NVIDIA’s core technologies in GenAI and lead technical customer engagement from inception and pre-sales to adoption. This role requires a 360 awareness of technical topics, business priorities and implications, as well as a deep understanding of the customer needs in order to drive significant impact in adoption of our technology.What you will be doing:Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, milestones, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges.Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use.Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions.Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.Support product launches, technical go-to-market activities by providing technical validation, demonstrating coordinated solutions, and ensuring perfection in customer- and partner-facing materials.What we need to see:Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.12+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.Experience writing production codes in Python, or C++ and proficiency with Linux.Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).Experience with DL and RL algorithms and frameworks such as PyTorch.Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).Effective verbal/written communication, and technical presentation skills.Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.Ways to stand out from the crowd:Experience with AV sensors, data curation pipelines, world models, simulations workflows and toolsExperience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc.Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).Consistent track record to profile and optimize inference latency and efficiency, memory and I/O utilization.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

22,000,000 - 44,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Technical Product Managementintermediate
  • Virtual Realityintermediate
  • Artificial Intelligenceintermediate
  • Deep Learningintermediate
  • Autonomous Vehiclesintermediate
  • GenAIintermediate
  • Architecture Designintermediate
  • Code Developmentintermediate
  • Integrationintermediate
  • Omniverse Platformintermediate
  • NVIDIA Cosmosintermediate
  • APIsintermediate
  • USDintermediate
  • NIMsintermediate
  • Blueprintsintermediate
  • Prototypingintermediate
  • Technical Integrationintermediate
  • Reference Architecturesintermediate
  • Co-designintermediate
  • Implementationintermediate
  • Milestone Planningintermediate
  • Delivery Planningintermediate
  • Sample Code Contributionintermediate
  • Architecture Diagramsintermediate
  • Engineering Supportintermediate
  • Technical Enablementintermediate
  • Code Samplesintermediate
  • Integration Guidesintermediate
  • Workshopsintermediate
  • Customer Engagementintermediate
  • Problem Solvingintermediate
  • Collaborationintermediate
  • Technical Advisoryintermediate
  • Business Awarenessintermediate
  • Customer Needs Understandingintermediate
  • Partner Engagementintermediate
  • Blocker Resolutionintermediate
  • Best Practices Advocacyintermediate
  • Feedback Representationintermediate
  • Actionable Insightsintermediate

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NVIDIA logo

Technical Lead, DevRel - Autonomous Vehicles

NVIDIA

Technical Lead, DevRel - Autonomous Vehicles

NVIDIA logo

NVIDIA

full-time

Posted: November 5, 2025

Start Date: November 5, 2025

Number of Vacancies: 1

Job Description

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced Technical Product Manager to evangelize NVIDIA’s core technologies in GenAI and lead technical customer engagement from inception and pre-sales to adoption. This role requires a 360 awareness of technical topics, business priorities and implications, as well as a deep understanding of the customer needs in order to drive significant impact in adoption of our technology.What you will be doing:Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.Develop and maintain deep technical expertise in NVIDIA Cosmos and Omniverse Platforms and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, milestones, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges.Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use.Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions.Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.Support product launches, technical go-to-market activities by providing technical validation, demonstrating coordinated solutions, and ensuring perfection in customer- and partner-facing materials.What we need to see:Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.12+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.Experience writing production codes in Python, or C++ and proficiency with Linux.Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).Experience with DL and RL algorithms and frameworks such as PyTorch.Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).Effective verbal/written communication, and technical presentation skills.Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.Ways to stand out from the crowd:Experience with AV sensors, data curation pipelines, world models, simulations workflows and toolsExperience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc.Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).Consistent track record to profile and optimize inference latency and efficiency, memory and I/O utilization.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 9, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

22,000,000 - 44,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Technical Product Managementintermediate
  • Virtual Realityintermediate
  • Artificial Intelligenceintermediate
  • Deep Learningintermediate
  • Autonomous Vehiclesintermediate
  • GenAIintermediate
  • Architecture Designintermediate
  • Code Developmentintermediate
  • Integrationintermediate
  • Omniverse Platformintermediate
  • NVIDIA Cosmosintermediate
  • APIsintermediate
  • USDintermediate
  • NIMsintermediate
  • Blueprintsintermediate
  • Prototypingintermediate
  • Technical Integrationintermediate
  • Reference Architecturesintermediate
  • Co-designintermediate
  • Implementationintermediate
  • Milestone Planningintermediate
  • Delivery Planningintermediate
  • Sample Code Contributionintermediate
  • Architecture Diagramsintermediate
  • Engineering Supportintermediate
  • Technical Enablementintermediate
  • Code Samplesintermediate
  • Integration Guidesintermediate
  • Workshopsintermediate
  • Customer Engagementintermediate
  • Problem Solvingintermediate
  • Collaborationintermediate
  • Technical Advisoryintermediate
  • Business Awarenessintermediate
  • Customer Needs Understandingintermediate
  • Partner Engagementintermediate
  • Blocker Resolutionintermediate
  • Best Practices Advocacyintermediate
  • Feedback Representationintermediate
  • Actionable Insightsintermediate

Target Your Resume for "Technical Lead, DevRel - Autonomous Vehicles" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Technical Lead, DevRel - Autonomous Vehicles. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Technical Lead, DevRel - Autonomous Vehicles" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

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