英伟达Senior Software Engineer, Multi-Sensor Fusion
任职要求
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary Senior software Engineer in multi-sensor fusion for obstacle perception to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will work on building world class solutions for the obstacle perception by tracking and fusing multiple frames from multiple sources of detections. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.
What You'll Be Doing:
• Design and develop a robust tracking and fusion algorithm that improves the accuracy and consistency of the detection of dynamic obstacles, moving or stationary, such as vehicles, VRUs, cones and barrels, and road hazards.
• Identify and analyze the strength and weakness of the developed obstacle perception and fusion under complicated and diverse scenarios.
• Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.
• Define and develop meaningful performance metrics for the perception of dynamic obstacles, which guide the algorithm iterations and prevent regression with large-scale offline data …工作职责
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• Implement AI/ML models for target detection, collision avoidance and automation control • Control robotics systems with computer vision, 3d camera, machine learning, etc • Develop automation software systems with smart, scalable, and testable code • Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks • Work with various sensor modalities (LiDAR, cameras, IMUs, etc.) • Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments • Utilize CAD software (SolidWorks, Fusion 360, or equivalent) for mechanical modeling and fabrication (3D printing, CNC machining, etc.)
• Design, build, and optimize containerized inference execution for LLM applications, ensuring efficiency and scalability. These applications may run in container orchestration platforms like Kubernetes to enable scalable and robust deployment. • Ensure the performance and scalability of NIMs through comprehensive performance measurement and optimization. • Apply container expertise to create and optimize the basic building blocks of NIMs, influencing the development of many models and related products within NVIDIA. • Collaborate, brainstorm, and improve the designs of inference solutions and APIs with a broad team of software engineers, researchers, SREs, and product management. • Mentor and collaborate with team members and other teams to foster growth and development. Demonstrate a history of learning and enhancing both personal skills and those of colleagues.