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NVIDIA

Designs the chips and software that power AI

Senior Embedded System Software Engineer - Camera and Display

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • Bachelor of Science, Master of Science, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or Systems Engineering, and five years of experience in a related software or hardware engineering position.
  • Good English language skills to work effectively with global teams.
  • Full experience with Linux.
  • Excellent knowledge of the camera software stack or display controller.
  • Experience working on embedded systems and ARM processors.
  • Excellent C skills.
  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals, including caches, buses, memory controllers, direct memory access, embedded systems, and real-time operating systems.

Responsibilities

  • Develop or integrate NVIDIA automotive or embedded software technology into automotive or embedded platforms.
  • Create and implement software features.
  • Provide deep technical assistance to customers when needed.
  • Assist customers in achieving fully optimized designs with NVIDIA products.
  • Provide partners with feedback on product features and software improvements.

Desired Qualifications

  • Excellent complex system-level debugging and problem-solving skills.
  • Ability to self-manage and break down complex problems into manageable tasks.
  • Experience with QNX, Android, device drivers, multimedia, CUDA, deep learning, or artificial intelligence.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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