Quadric is redefining edge AI with the industry's first General Purpose Neural Processing Unit (GPNPU), enabling developers to run both neural network inference and conventional C++ code on a single programmable architecture. Our technology powers intelligent edge devices across automotive, industrial, robotics, and embedded systems.

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

The Opportunity

As a member of our AI Application team, you'll own getting the latest AI models running fast and accurately on the GPNPU, from CNN perception models to LLMs and VLAs for automotive, robotics and AI-PC. You'll profile real workloads, write and tune kernels, choose quantization strategies, and build the tools that make model deployment repeatable.

What You'll Do

Analyze and optimize performance on GPNPU

Deploy and profile models on GPNPU, from vision/perception to LLM/VLM/VLA

Analyze the accuracy and choose the best quantization scheme

Write and tune kernels and optimize model compute graphs on GPNPU, balance speed and accuracy

Create efficient flows to convert and deploy models on GPNPU

Develop efficient tools and flows to speed up the model deployment, including profiling, tracing, visualization tools to find bottlenecks and agentic automation

Customize open-source model optimization/quantization tools

Integrate and automate model pruning, sparsification, quantization in the workflow

What Success Looks Like

Within your first 6-12 months, you’ll:

Deploy 5 new models on GPNPU independently, meeting accuracy targets

Deliver a 2x speedup on a model through kernel, model compression or dispatch work

Ship a deployment or an optimization tool the team uses every day

What We're Looking For

Required

3+ years experience in AI model deployment or kernel optimization

BS/MS in CS/CE or related fields

Strong C/C++ and Python

Hands-on performance analysis: profilers, roofline/bandwidth reasoning, finding compute vs memory bottlenecks

Hands-on experience with quantization (PTQ/QAT, int8/int4) and debugging accuracy loss

Has written performance-critical kernels (CUDA, Triton, OpenCL, SIMD intrinsics or DSP)

Fluent with AI coding agents (e.g. Claude Code, Cursor), and interested in building agent-driven workflows for kernel and model bring-up

Preferred

Hands-on experience in pruning and sparsification

Solid understanding of accelerator microarchitecture (memory hierarchy, DMA)

Solid understanding of fixed-point and numerics, mixed precision

Understanding of compiler code generation and kernel scheduling

What We Offer

The base salary range for this position is $160,000 to $195,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:

Medical, dental, and vision insurance from day one - Premiums covered at 99% for Employees

Company-paid life Insurance

Voluntary supplemental life insurance

STD + LTD insurance

Commuter support including parking or Caltrain reimbursement. Our office is conveniently located within walking distance of the Caltrain station