Description
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
If making an impact and having a seat at the table is key to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.
What We Value:
Integrity, Humility, Happiness
What We Expect:
Initiative, Collaboration,



Completion

Role:
As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

Responsibilities:
- Drive the 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

Requirements
- MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
- Strong background in numerical and/or algorithmic optimization
- Understanding of building application-appropriate heuristics for NP-har

📌 Deep Learning Compiler Engineer (Pune)
🏢 quadric.io
📍 Pune