Senior System Software Engineer at NVIDIA

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, System Software, Image Processing, Video Processing, Graphics, Multimedia, Computer Vision, CUDA, OS Fundamentals, Device Driver Stacks, Full Stack Development, Software Engineering, Performance Optimization, Debugging, Communication Skills, Analytical Skills

Industry

Computer Hardware Manufacturing

Description

We are now looking for an experienced software engineer with strong system software and image/video/graphics/multimedia fundamentals with robust C++ skills. Join us in development of NVIDIA AI for Multimedia components like NVIDIA Broadcast & NVIDIA Maxine – a comprehensive suite of applications, SDKs and framework. These technologies and products enable different state-of-the-art broadcast streaming features. What you’ll be doing: Partner alongside forward-thinking engineers to implement and optimize software to provide new capabilities in NVIDIA AI for Multimedia components as well as improve the existing features and framework architecture for different GPUs, CPUs and system OS platforms. Exposure to integrating evolving computer vision SDKs into applications & use cases on different platforms. We would be working on many groundbreaking features and their application that are redefining our industry. We will see features go through the whole cycle - from proof-of-concept to production. Together we will connect with multiple teams in our company, as well as our partners and customers. What we need to see: Proficiency in C++ programming and debugging. You have a knack for full stack development - from implementing frameworks and interfaces to understanding the impact and consequence on the hardware. Passion for optimizing system performance, root causing bottlenecks and optimizing performance on GPU, CPU and memory. Strong knowledge of OS fundamentals and familiarity with device driver stacks. You have knowledge of usage of at least one graphics, video or image processing library (Direct3D, Vulkan, OpenGL, OpenCV, etc. or any proprietary library) in visual domain. CUDA programming experience would be a plus. Strong software engineering background and design fundamentals particularly related to creating robust system software. Familiarity with software lifecycle-based processes. Strong communication and analytical skills. Self-motivated, fast to act and eager to learn as well as guide. Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering. 5+ years of experience developing systems software on Windows/Linux/iOS. Ways to stand out from the crowd: Exposure to video conferencing, broadcasting applications and environments. Experience working with computer vision, image, video processing systems. Familiarity working with camera, mic, speaker devices. Knowledge of graphics hardware accelerated systems on PC or embedded systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and hardworking people on the planet working for us. Are you creative? Are you driven not just by the need to know why, but yearn to ask, 'why not'? And have a real passion for technology, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Implement and optimize software for NVIDIA AI for Multimedia components, enhancing existing features and framework architecture. Collaborate with multiple teams to develop groundbreaking features from proof-of-concept to production.