Julie Bernauer
Senior Director, Data Center Systems Engineering
California, United States
Summary
👤
Senior🎓
Top SchoolJulie Bernauer is a senior technology leader with 11+ years driving data center and deep learning systems engineering at NVIDIA, currently leading a team focused on scale-out and hyperscale deep learning platforms. Trained as a computational structural biologist with a PhD and an HDR in computer science, she uniquely blends domain science, high-performance computing, and systems performance to solve large-scale ML infrastructure challenges. Her career spans research roles at Inria and SLAC, academic teaching at Stanford and École Polytechnique, and progressive leadership at NVIDIA from solutions architect to senior director. Julie is equally at home in low-level performance optimization and strategic systems design, and she often recruits and mentors engineers who bridge research and production. Based in California, she brings a rare mix of deep scientific rigor and hands-on engineering experience to build scalable AI infrastructure.
11 years of coding experience
15 years of employment as a software developer
PCSI/PC*, Physics, PCSI/PC*, Physics at Lycée Louis Le GrandMaster's Degree, Structural Biology, Master's Degree, Structural Biology at Université Paris Sud (Paris XI)Master's degree, Chemistry, Master's degree, Chemistry at École Normale Supérieure de Cachan
French, English, German, Japanese
Github Skills (25)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
caffe9
driver9
gnu8
dbus8
daemon8
pytorch7
linux7
Programming languages (3)
Github contributions (5)
juliebernauer/tx1-lab2
Apr 2016 - Apr 2016
Contributions:17 commits, 10 pushes, 1 branch in 1 day
juliebernauer/openrazer
Feb 2019 - Feb 2019
An entirely open source driver and user-space daemon that allows you to manage your Razer peripherals on GNU/Linux
Contributions:5 pushes in 2 days
driverstabletdaemonlinuxperipherals
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