Job Description:

• NVIDIA is looking for an excellent Software Engineer to join the CUDA Tegra Compute team, who is passionate about working on the cutting edge technology in the world of embedded systems.
• The team is responsible for delivering CUDA and cuDLA user-mode libraries that manage GPU and DLA HW accelerators in the Tegra SoC chip.
• The team supports the delivery of libraries on various platforms such as L4T, Autonomous cars and medical equipment.

Job Responsibilities:

What you will be doing:

• Work on feature development and support for CUDA and cuDLA libraries that run on Tegra SoC based platforms.
• Work on system software for systems based on NVIDIA Tegra SoCs.
• Participate in the development of proprietary and open computing standards.
• Support the development of next-generation GPUs and other HW accelerators in collaboration with HW teams at NVIDIA.

Eligibility Criteria:

What we need to see:

• M.Tech/B.Tech in Computer Science or related fields.
• Strong academic background.
• Strong C/C++ programming skills.
• Good understanding of programming languages, processor architecture and Operating System Fundamentals.
• Knowledge of scripting (Perl or python) is a plus.
• Candidate should have very good problem solving skills and application of the solutions to the real world problems.
• Good communications skills and ability and desire to work as a teammate are a must.