# AI Inference Optimization 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: Mid level
- Location: Burlingame, CA (HQ)
- Work setup: Remote
- Pay: $160K to $195K base salary per year (USD)
- Posted: 2026-10-27
- Apply by: 2026-12-11
- Apply: https://jobs.ashbyhq.com/quadric/1755413f-b585-476c-a572-acdcae416dba?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/quadric-io-ai-inference-optimization-engineer/

## About the role

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. Deploy and profile models on GPNPU, from vision/perception to LLM/VLM/VLA Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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)

Tags: Product

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/quadric-io-ai-inference-optimization-engineer/