Senior Deep Learning Compiler Engineer - Edge AI & GPNPU

QUADRIC PTY LTD; Burlingame (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Company-paid life insurance

401(k) Retirement Plan

Flexible PTO

Parental leave

Lunch provided

Job summary

Quadric is redefining edge AI in Burlingame, CA, seeking a Deep Learning Compiler Engineer to design and optimize the compiler stack (MLIR, TVM, LLVM) bridging modern neural networks to our proprietary hardware.

You will implement graph and codegen optimizations, analyze Transformer and Vision models, and collaborate with hardware teams to shape ISA extensions and bring-up validation on FPGA/ASIC platforms.

Qualifications

• BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 8+ years Hands-on experience developing deep learning compilers or compiler infrastructures (e.g., MLIR, Apache TVM, LLVM, XLA, TensorRT, or Glow).
• Strong proficiency in C++ (14/17/20) and Python, with solid fundamentals in data structures, algorithms, and object-oriented design.
• Familiarity with modern AI/ML frameworks (PyTorch, TensorFlow, ONNX) and deep learning operator representations.
• Solid understanding of computer systems, memory hierarchies, parallel processing, and CPU/GPU/NPU instruction execution.

Responsibilities

• Design, implement, and maintain compiler optimization passes targeting Quadric’s processor architecture using frameworks like MLIR, Apache TVM, or LLVM.
• Develop lowering pathways from high-level machine learning frameworks down to optimized low-level kernel code.
• Optimize neural network performance for memory throughput, latency, compute unit utilization, and power consumption.
• Collaborate closely with hardware and micro-architecture teams to define instruction set extensions, hardware acceleration features, and compiler requirements.

Skills

Deep learning compilers

C++ programming

Python programming

MLIR

TVM

LLVM

PyTorch/TensorFlow/ONNX

Education

BS/MS/PhD in CS/CE/EE

Tools

MLIR

Apache TVM

LLVM

XLA

TensorRT

Glow

Job description

Quadric is redefining edge AI in Burlingame, CA, seeking a Deep Learning Compiler Engineer to design and optimize the compiler stack (MLIR, TVM, LLVM) bridging modern neural networks to our proprietary hardware.

You will implement graph and codegen optimizations, analyze Transformer and Vision models, and collaborate with hardware teams to shape ISA extensions and bring-up validation on FPGA/ASIC platforms.