# Staff Deep Learning Compiler Engineer at Quadric.io

- Company: Quadric.io
- What the company does: Your silicon. Your models. Your roadmap. Flexible AI accelerator IP that is powering the next generation of AI chips. Backed by Pear VC.
- Company website: https://www.quadric.io/
- Type: Startups (AI role)
- Level: Senior
- Location: Burlingame, CA (HQ)
- Work setup: On-site
- Pay: $170K to $230K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://jobs.ashbyhq.com/quadric/c2067942-a29f-4096-ae53-8dd30d5c89b0
- Page: https://www.1752.vc/careers/jobs/quadric-io-staff-deep-learning-compiler-engineer/

## About the role

Quadric is building the world’s first General-Purpose Neural Processing Unit (GPNPU) architecture, bringing high-performance AI, DSP, and ML compute to edge devices. As a Deep Learning Compiler Engineer , you will design and optimize the compiler stack (MLIR, TVM, LLVM) that bridges state-of-the-art neural network frameworks directly to our proprietary hardware architecture. You'll play a critical role in unlocking peak hardware performance, low latency, and memory efficiency for edge AI workloads.

## What they're looking for

- 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

Tags: Engineering Software