Senior Deep Learning Compiler Engineer – XLA

🔥 0 minutes ago

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop compiler optimization algorithms for deep learning workloads • Optimize inference and training performance for the JAX framework and OpenXLA compiler on NVIDIA GPUs at scale • Collaborate with deep learning framework partners and hardware architecture teams • Craft and implement compiler optimization techniques for deep learning network graphs • Design graph partitioning and tensor sharding techniques for distributed training and inference • Perform performance tuning and analysis • Implement code generation for NVIDIA GPU backends using MLIR, LLVM, and OpenAI Triton • Design user-facing features in JAX and related libraries • Perform general software engineering work • Work with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs • Define project goals and scope and lead development efforts • Apply software engineering and testing practices • Mentor junior engineers and interns

🎯 Requirements

• Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, related field, or equivalent experience • 4+ years of relevant work or research experience in performance analysis and compiler optimizations • Ability to work independently, define project goals and scope, and lead development efforts • Clean software engineering and testing practices • Excellent C/C++ programming and software design skills • Experience with debugging, performance analysis, and test design • Strong foundation in CPU, GPU, or other high-performance hardware accelerator architecture • Knowledge of high-performance computing and distributed programming • CUDA or OpenCL programming experience desired but not required • Experience with XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, or deep learning framework design is a plus • Strong interpersonal skills and ability to work in a dynamic product-oriented team • Experience with JAX, PyTorch, or TensorFlow; CUDA or GPUs; and open-source compilers such as XLA, LLVM, MLIR, or TVM are ways to stand out

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits