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Détails de l'offre
Emploi > Stages > Informatique/Technologie > Etats-Unis > Détails de l'offre 

Software Engineering Intern, Deep Learning Inference Deployment

Entreprise non montrée
Etats-Unis  Etats-Unis
Stage, Informatique/Technologie, Anglais
34
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0
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Description du poste:

(COMPANY NAME) has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing.

Would you like to make a big impact in deep learning by helping build a state-of-the-art inference framework for (COMPANY NAME) GPUs, and by designing novel deployment workflows for an expansive and emerging class of Machine Learning applications? We are now welcoming aspiring and qualified candidates to apply to Engineering Internship positions in the Deep Learning software team.

What you'll be doing:
* Develop production grade GPU-accelerated ML inference software in C++ and Python.
* Build graph parsers, optimizers, and tools for effective deployment of trained ML models.

What we need to see:
* You are pursuing a Bachelor, Masters or PhD students in Computer Sciences, Computer Engineering.
* Proficiency in C++ and Python programming.
* Solid understanding of Machine Learning concepts.
* Strong interpersonal skills and an excellent teammate.

Ways to stand out from the crowd:
* Familiarity with advanced C++11/C++14 language features.
* Experience in GPU kernel programming using CUDA or OpenCL.
* Background in working with TensorRT, PyTorch, TensorFlow or other ML frameworks.
* Experience in software performance benchmarking, profiling, and optimizations.

(COMPANY NAME) has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer with a real passion for computer architecture? If so, we want to hear from you!

(COMPANY NAME) is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

Origine: Site web de l'entreprise
Publié: 25 Nov 2021
Type de poste: Stage
Secteur: Électronique grand public
Langues: Anglais
98.979 emplois et stages
dans 139 pays
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