Systems Software Engineer, Computer Vision and Multimedia - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

$120,000-230,000 per year

MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 6 Distributed Systems @ 3 Hiring @ 3 Android @ 6 API @ 3 CUDA @ 3

Details

Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and the collaborations across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Computer Vision for the self-driving platform architectures.

Responsibilities

  • Collaborating with software engineers, hardware and arch teams to design, develop, validate and optimize software on NVIDIA's DRIVE self-driving platform.
  • Directly engaging with customers and partners to productize DRIVE platforms.
  • Developing and maintaining drivers in the camera framework to enable and bring-up camera sensors on automotive platforms.
  • Demonstrating familiarity with imaging pipeline, debug, and supporting Image Quality evaluations.
  • Optimizing performance for various computer vision and multimedia components in the driving platform stack.
  • Engaging directly with customers/partners to gather requirements, develop, and optimize their exquisite products.

Requirements

  • BS or MS in Computer Science, Computer Engineering or closely related field (or equivalent experience).
  • 3+ years of proven experience on embedded systems, with a focus on Imaging pipeline and/or Graphics pipeline.
  • Proficiency in C and C++ programming languages.
  • Expertise in CUDA API and programming model.
  • Experience with parallel computing.
  • Knowledge of Camera Sensors and interface components like CSI, Serializers/Deserializers.
  • Strong grasp of computer vision fundamentals and GPU architecture, with a keen interest in next-gen developments.
  • Strong understanding of Linux, Android, or Real-time operating systems.
  • Experience working and interacting with customers.
  • Ability to adapt to new technologies and platforms.

Ways to stand out from the crowd:

  • Track record of integrating and delivering functional and performant real-time and/or distributed systems.
  • Good understanding of video encoding and decoding.
  • Knowledge of Computer Systems Architecture.