aimlroles

Deep Learning Performance Software Engineer

NVIDIA nvidia.com Open · verified Oct 21, 2026
China, Beijing Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at NVIDIA. China, Beijing · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationChina, Beijing
EmploymentFull-time
PostedJul 29, 2026 · 2mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build compilers and domain-specific languages for deep learning workloads
  • Create and tune deep learning kernels for high performance
  • Evolve compiler architecture for existing and upcoming chips
  • Analyze performance on new AI workloads and connect the results to AI frameworks

What you bring

  • A relevant master's or doctoral degree, or equivalent experience, in a listed discipline
  • Strong C and C++ coding ability, paired with sound software design
  • Hands-on experience with XLA, TVM, MLIR or LLVM, plus deep learning models and algorithms
  • At least three years of relevant professional experience

Who this fits

This role suits an engineer who works creatively and independently in a fast-moving, customer-focused team. You’ll need strong communication skills.

From the employer

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!