Deep Learning Performance Software Engineer
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Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.
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We are now looking for a Deep Learning Performance Software Engineer!
We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.
What you’ll be doing:
Develop compilers and DSLs for deep learning workloads
Design and implement highly optimized deep learning kernels
Continuously improve the compiler architecture for current and next generation chips
Perform performance analysis on emerging AI workloads and integrate with AI frameworks
What we need to see:
Master's or Ph.D degree (or equivalent experience) in relevant discipline (CE, CS&E, CS, AI)
Excellent C/C++ programming and software design skills
Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms
3+ years of relevant work experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!