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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Algorithm Engineer, Map-Perception Fusion - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** 3d Models, Application Programming Interfaces (APIs), Application Frameworks, Computer Vision, Computer Engineering, Software Engineering, Information Technology - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=32d0f328a4144473 ## About the Role * PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. * Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or related fields. * Eagerness to learn and grow in the field of robotics and autonomous driving. * Strong problem-solving and analytical skills. * Good communication and teamwork abilities, especially in a diverse and global environment. * Experience with embedded systems or automotive platforms is a plus. Ways to Stand Out from the Crowd: * Familiarity with 3D geometry, computer vision, sensor calibration, or state estimation algorithms (e.g., Kalman or particle filters). * Experience working on real-time computer vision systems. * Skills in designing APIs or software frameworks. ## Description * Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. * Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. * Support Mapless Driving Capabilities: Work on enriched bird's-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. * Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle's understanding of its environment. * Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. * Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability., At NVIDIA, we're dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world's most respected technology companies. If you're motivated, curious, and ready to make a difference, we'd love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you! ## Related Videos - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [TresJS a new declarative ThreeJS as Vue components](https://www.wearedevelopers.com/videos/543-tresjs-a-new-declarative-threejs-as-vue-components) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) - [How computers learn to see – Applying AI to industry](https://www.wearedevelopers.com/videos/756-how-computers-learn-to-see-applying-ai-to-industry) - [How Robots Learn to be Robots](https://www.wearedevelopers.com/videos/1632-how-robots-learn-to-be-robots) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)