Quadric
AI Inference Optimization Engineer
Burlingame, CA · Remote (US) · Mid
- Discipline
- Hardware
- Industry
- Semiconductor
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
AI Application
AI Inference Optimization Engineer at Quadric in Burlingame, CA, focusing on deploying and optimizing models on the GPNPU. Responsibilities include profiling workloads, kernel tuning, quantization, and deployment tooling for fast, accurate inference.
$160,000–$195,000 / year · Day shift · Equity · 3+ years · BS/MS in CS/CE or related fields
Required
- 3+ years experience in AI model deployment or kernel optimization
- Strong C/C++ and Python
- Hands-on performance analysis
- Quantization (PTQ/QAT, int8/int4) experience
- Performance-critical kernels (CUDA, Triton, OpenCL, SIMD)
- Fluent with AI coding agents
Preferred
- Hands-on experience in pruning and sparsification
- Understanding of accelerator microarchitecture
- Fixed-point and mixed precision
- Compiler code generation and kernel scheduling
Benefits
- Medical
- 401(k)
- equity
- PTO
Employer description
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 OpportunityAs 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 DoAnalyze 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 LikeWithin 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
Required3+ 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
PreferredHands-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 OfferThe 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
FSA + HSA
Equity with the business
Paid Parental Leave
401(k) Retirement Plan
Flexible PTO
Winter holiday shutdown
Catered lunch each day in our office
Downtown Burlingame office location, close to shops, cafes, and local amenities
Collaborative, low-ego culture with significant ownership and impact
A work culture focused on innovative disruption
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience.
Equal Employment OpportunityQuadric is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, marital status, medical condition, or any other characteristic protected by applicable federal, state, or local law
E-Verify and Right to Work NoticesQuadric participates in the E-Verify program to confirm employment eligibility for U.S.-based roles. As part of this process, applicants may review the following notices, which explain your rights and our participation in E-Verify. These notices are provided in English and Spanish.
| E-Verify Participation Notice (English | Spanish) |
| Right to Work Notice (English | Spanish) |
No action is required from candidates during the application process. These notices are provided for informational purposes only.
PrivacyBy submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data
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