Nvidia

Autonomous Vehicles

LeadAlgorithmEngineer,Map-PerceptionFusion

$224–357k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Algorithm Engineer, Map-Perception Fusion at Nvidia. Skills: Algorithm Engineering, Map-Perception Fusion, Autonomous Driving. Lead Core Autonomous Driving Systems. Architect Real-Time 3D World Models”

What You'll Achieve.

Deliver advanced 3D world models; Enable safe, intelligent navigation; Improve environmental awareness and decision-making; Ensure high-quality, production-grade code; Meet automotive safety, reliability, and scalability requirements

Industry & Context.

Autonomous Vehicles
Problems you'll solve

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, ideally in robotics, autonomous vehicles, or related domains, expertise in system design, real-time processing, and scalable software architectures, Demonstrated ability to drive technical direction, mentor engineers, and deliver results in ambiguous environments, Excellent problem-solving, communication, and cross-team collaboration skills

Nice to Have

Experience with embedded or automotive-grade systems is highly desirable, Deep expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e. g. , Kalman or particle filters), Experience leading real-time computer vision or perception systems in production environments, background in API design, software frameworks, and 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

Communication Scope

Communication 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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