NVIDIA is hiring System Software Engineer. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
About NVIDIA
NVIDIA is a prominent technology company known for its innovative solutions in graphics processing units (GPUs) and artificial intelligence (AI). Founded in 1993, NVIDIA has become a leading provider of high-performance computing technologies, catering to a wide range of industries, including gaming, data centers, automotive, and professional visualization. With a strong focus on research and development, NVIDIA continuously pushes the boundaries of what is possible in visual computing, delivering cutting-edge GPU architectures and software frameworks. The company’s commitment to excellence has earned it a reputation for providing industry-leading solutions that power advanced graphics, accelerate scientific discoveries, and enable breakthroughs in AI applications. NVIDIA’s dedication to driving technological advancements has solidified its position as a key player in shaping the future of computing.
At NVIDIA, collaboration and teamwork are central to our work philosophy. We thrive in a highly stimulating environment that fosters innovation and upholds the highest standards of quality. We are privileged to work alongside some of the brightest minds in the industry, contributing to products that have a transformative impact on our lives. Currently, NVIDIA is seeking an exceptional Software Engineer to join our CUDA Tegra Compute team. This role offers an exciting opportunity to work with cutting-edge technology in the field of embedded systems.
The primary responsibility of the chosen candidate will involve working on feature development and providing support for CUDA and cuDLA libraries on Tegra SoC platforms. Additionally, they will be responsible for system software development for NVIDIA Tegra SoC-based systems. Active participation in the development of both proprietary and open computing standards is also expected, as well as collaborating with hardware teams at NVIDIA to contribute to the development of next-generation GPUs and other hardware accelerators. This role requires working on the delivery of libraries across various platforms, including L4T, autonomous cars, and medical equipment.
To be considered for this position, the following qualifications are necessary:
A solid academic background
A degree in M. Tech/B. Tech in Computer Science or a related field
Proficiency in C/C++ programming
A good understanding of programming languages, processor architecture, and operating system fundamentals
Familiarity with scripting languages such as Perl or Python is advantageous
Strong problem-solving skills with an ability to apply solutions to real-world problems
Effective communication skills and a strong desire to work collaboratively as part of a team
To distinguish yourself as an outstanding candidate, the following experiences and expertise would be beneficial:
Previous experience with CUDA and system programming
Expertise in parallel programming
By adhering to the above guidelines and qualifications, your application will stand out among the competition
How to Apply?
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Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.
