Nvidia
Autonomous Vehicles
LeadAlgorithmEngineer,Map-PerceptionFusion
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Algorithm Engineer, Map-Perception Fusion at Nvidia. Skills: Algorithm Engineering, Map-Perception Fusion, 3D World Models, Autonomous Driving. Lead Core Autonomous Driving Systems. Architect Real-Time 3D World Models”
What You'll Achieve.
enable safe, intelligent navigation across complex road systems; support robust planning and navigation; reducing reliance on HD maps; enabling autonomy in highly dynamic urban environments; improve environmental awareness and decision-making; deliver results in ambiguous environments; make autonomous driving a reality; save millions of lives; turn vision into reality
Industry & Context.
Excellent problem-solving; problem-solving skills
What They're Looking For.
Must Have
PhD with 6+ years, MS (or equivalent experience) with 10+ years of relevant experience in Computer Science, Computer Engineering, or a related field, Proven track record of leading complex software systems, expertise in system design, real-time processing, scalable software architectures, Demonstrated ability to drive technical direction, mentor engineers, deliver results in ambiguous environments, Excellent problem-solving, communication, cross-team collaboration skills
Nice to Have
Experience with embedded or automotive-grade systems, Deep expertise in 3D geometry, computer vision, sensor calibration, state estimation, Kalman or particle filters, Experience leading real-time computer vision or perception systems in production environments, background in API design, software frameworks, platform-level thinking
What You'll Do.
Lead Core Autonomous Driving Systems
Architect Real-Time 3D World Models
Advance Mapless Driving Capabilities
Elevate Scenario Understanding
Set Engineering Standards
How You'll Work.
Team & Collaboration
Partner with cross-functional engineering leaders; Collaborate closely with perception, planning, and platform; mentor and help align technical strategy across organizations; cross-team collaboration skills
Communication Scope
communication; cross-team collaboration skills
Full Job Description
Are you driven to shape the future of autonomous vehicles at scale? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team and lead the development of next-generation self-driving technologies. In this role, you will partner with cross-functional engineering leaders to architect and deliver advanced 3D world models that fuse map and perception data, enabling safe, intelligent navigation across complex road systems in the U.S. and China. This is an opportunity to take technical ownership of critical systems and influence the direction of autonomous driving at the core of our platform. **What you 'll be doing:** * Lead Core Autonomous Driving Systems: Own the design, development, and evolution of systems that integrate cutting-edge perception and mapping technologies across diverse driving environments. * Architect Real-Time 3D World Models: Drive the creation of scalable, real-time 3D representations by fusing multi-modal sensor data and external sources to support robust planning and navigation. * Advance Mapless Driving Capabilities: Spearhead the development and processing of enriched bird’s-eye-view (BEV) model outputs, reducing reliance on HD maps and enabling autonomy in highly dynamic urban environments. * Elevate Scenario Understanding: Define and implement approaches for static obstacle modeling, occupancy grids, and occlusion reasoning to improve environmental awareness and decision-making. * Cross-Functional Leadership: Collaborate closely with perception, planning, and platform teams; mentor engineers; and help align technical strategy across organizations. * Set Engineering Standards: Champion high-quality, production-grade code and enforce best practices aligned with automotive safety, reliability, and scalability requirements. **What we need to see:** * PhD with 6+ years, MS (or equivalent experience) with 10+ years of relevant experience in Computer Science, Computer Engineering, or a related field. * Proven track record of leading com
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