Senior AI Model Deployment Engineer ā Autonomous Vehicles
Senior AI Model Deployment Engineer ā Autonomous Vehicles
š¢ ABOUT THE COMPANY
NVIDIA is a global technology leader that provides the platform for AI-driven innovation. Founded in 1993, NVIDIA's mission is to accelerate the world's technology advancement by driving GPU innovation. With over 25,000 employees worldwide, we strive to create products that delight our customers and help them achieve their goals. Our culture values innovation, collaboration, and a passion for making a difference. With numerous accolades and achievements, NVIDIA is a great place to work for those who share our vision.
šÆ ROLE OVERVIEW
As a Senior AI Model Deployment Engineer for our Autonomous Vehicle team, you will be responsible for designing and deploying AI models that enable safe and efficient self-driving cars. You will work closely with our engineers, researchers, and partners to integrate AI models with vehicle control systems. You will report to the Technical Lead for Autonomous Vehicles and will have a significant impact on the development of NVIDIA's autonomous driving technology.
š KEY RESPONSIBILITIES
Deploy AI models on various platforms, including NVIDIA Drive platforms, to enable safe and efficient self-driving cars.
Collaborate with software engineers to integrate AI models with vehicle control systems.
Design and develop software components that enable real-time data processing and model deployment.
Develop and maintain software documentation, including user manuals and technical guides.
Work with cross-functional teams to ensure AI models meet safety and regulatory requirements.
Develop and maintain relationships with partners and vendors to ensure timely receipt of required materials.
Analyze and troubleshoot issues with AI model deployments.
Develop and implement methodologies for deploying AI models at scale.
ā REQUIRED QUALIFICATIONS
10+ years of experience in AI model deployment, software development, or a related field.
Master's degree in Computer Science, Electrical Engineering, or a related field.
Expert-level knowledge of AI model deployment, software development, and embedded systems.
Proven experience working with NVIDIA GPUs, TensorFlow, and PyTorch.
In-depth understanding of autonomous vehicle systems, including vehicle control systems and sensor integration.
Experience with software development methodologies, including Agile and DevOps.
ā PREFERRED QUALIFICATIONS
Ph.D. in Computer Science, Electrical Engineering, or a related field.
2+ years of experience working in the autonomous vehicle industry.
Experience with NVIDIA's Drive platform and DriveWorks software.
Certification in machine learning or AI model deployment.
š° WHAT WE OFFER
Salary range: $80,000 - $120,000 per year.
Comprehensive health insurance, including medical, dental, and vision coverage.
401(k) retirement plan with company match.
Up to 5 weeks of paid vacation per year.
$2,000 annual learning and development budget.
Flexible remote work policy, with opportunities to work from home or in our offices.
Collaborative team culture, with opportunities to work with world-class engineers and researchers.
Opportunities for growth and professional development.
š„ ABOUT THE TEAM
Our Autonomous Vehicle team is a collaborative and dynamic group of engineers, researchers, and partners working together to develop and deploy AI models for self-driving cars. We value innovation, teamwork, and a passion for making a difference. Our recent wins include the development of AI models that enable safe and efficient self-driving cars, and we are excited to see what the future holds.
šØ HOW TO APPLY
To apply, please submit your resume and a cover letter explaining your experience and qualifications for this role. We expect to respond to all applications within 2-3 weeks.
š Job Details
| Job Type | š Remote |
| Location | Remote, US |
| Address | 12345 6th Street, 12345 |
| Salary | USD 80,000 ā 120,000 / year |
| Industry | General |
| Company | NVIDIA |
| Valid Until | 2026-09-11 |
šØ How to Apply
Submit your updated CV and a brief cover letter to NVIDIA. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.