We are now looking for a CUDA Mathematical Libraries Engineer - New College Grad :
is hiring software engineers for its GPU-accelerated high-performance computing (HPC) mathematical libraries team. Academic and commercial groups around the world are using GPUs to revolutionize scientific and high-performance computing, and data analytics, and to power data centers.
Did you know GPU accelerated mathematical libraries developed by NVIDIA are using in various industries and research areas including but not limited to healthcare, VR, deep learning, autonomous vehicles?
If this excites you, come join our dynamic team and help us build GPU accelerated software libraries which is used by the entire world.
In this role you will be interacting and collaborating with internal stakeholders, industry professionals, the scientific community, and members of the open source software community to define and implement highly optimized new numerical, and analytics algorithms.
Your responsibilities include definition of public APIs, implementation of new algorithms, performance tuning and analysis, and other general software engineering work.
You will need great interpersonal and communication skills and a strong focus on delivering high-quality and performance software.
What you’ll be doing :
What we need to see :
Ways to stand out from the crowd :