Senior Edge AI Compiler Engineer

Quadric

United States

On-site

USD 110,000 - 270,000

Full time

15 hours ago
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Benefits offered by this job

Equity
Medical insurance
401(k)
Unlimited PTO
Office near Caltrain

Job summary

Quadric seeks a senior platform software engineer to lower and optimize neural networks on the Quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance from the architecture.

Work with the software team to push cutting-edge deep learning workloads, with a focus on graph-based execution and NP-hard problem heuristics. The role offers a competitive salary, equity, and a path to influence edge AI at scale.

Qualifications

  • MS or PhD in Computer Science or related field with 8+ years industry experience.
  • Strong numerical or algorithmic optimization background.
  • Ability to build heuristics for NP-hard problems.
  • Knowledge of classical and ML algorithms (CV, DSP, DNNs).
  • Strong grounding in graphs and related algorithms.

Responsibilities

  • Drive lowering and optimization of cutting edge deep neural networks using Quadric's technology.
  • Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems.
  • Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture.

Skills

Deep learning optimization
Graph algorithms
Numerical optimization
DNN/ML knowledge
C++ 11+
TVM
Compiler techniques
NP-hard heuristics

Education

MS or PhD in Computer Science

Tools

TVM
Compiler toolchains

Job description

Quadric seeks a senior platform software engineer to lower and optimize neural networks on the Quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance from the architecture.

Work with the software team to push cutting-edge deep learning workloads, with a focus on graph-based execution and NP-hard problem heuristics. The role offers a competitive salary, equity, and a path to influence edge AI at scale.

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