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Added 13 mins ago
Senior Analyst, Commercial QA (12 month contract)
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Toronto, ON
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Quadric

Forward Deployed Engineer

Canada

The base salary range for this position is $170,000 to $230,000. · Full-time

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Job details

Pay: The base salary range for this position is $170,000 to $230,000.
Job type: Full-time
Posting language: English
Posted: Nov 4, 2026

Original job 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 Opportunity

You'll own the technical path from customer evaluation to silicon design and win on a genuinely novel architecture, the Quadric Chimera GPNPU, which runs everything from CNNs to LLMs to arbitrary C++ on one core, with no fallback processor. Unlike a FAANG solutions role, you'll work the entire stack: quantization, custom kernels, and compiler and your fingerprints will be on chips that ship in cars, cameras, and network appliances.

At a Series C company, every design win has outsized impact. Our FDEs also build with frontier agentic tooling (Claude Code–based agentic workflows) - you won't just be supporting the product, you'll be inventing how edge-AI field engineering is done.

What You'll Do

Own the Technical Path to Design Win

Convert 2–3 active customer evaluations into committed design wins by getting customer workloads running at target latency and accuracy on Chimera.
Port customer workloads onto Chimera - architect, adapt, profile, and write custom kernels when required.

Embed with Customer Engineering Teams

Work on-site and remotely with customer engineering teams: debug failures, hit benchmark targets, and guide model-architecture tradeoffs.
Drive evaluations forward end-to-end, from first technical conversation through design win.

Build the Agentic FDE Toolkit

Codify what you learn into reusable assets - SDK skills, porting playbooks, and agentic content - so each subsequent engagement moves faster than the last.
Build applications and benchmark collateral that support future customer engagements.

Close the Loop Internally

Partner with engineering and product teams to relay customer learnings and shape the roadmap.
Contribute skills and playbooks to Quadric's growing agentic FDE toolset.

What Success Looks Like

Within your first 6–12 months, you'll:

Convert 2–3 active customer evaluations into committed design wins on the Chimera platform.
Build deep fluency across the Chimera stack - quantization, custom kernels, and compiler tooling - well enough to unblock customers independently.
Establish reusable SDK skills and porting playbooks that measurably shorten the next engagement's timeline.
Become a trusted technical partner to customer engineering teams, known for translating ambiguous requirements into shipped results.
Help define and refine Quadric's agentic (Claude Code–based) FDE workflow - there's no existing playbook yet; you'll help write it.

What We're Looking For

Required

Strong C++ and Python; has written performance-critical code for a constrained target (DSP, NPU, GPU, or embedded SoC).
Systems-level performance intuition - memory bandwidth, data movement, cycle-level reasoning - and can read a profile and know where the time went.
High agency and independent problem-solving; methodical and empirical rather than theoretical.
Comfortable operating without a playbook and in ambiguity - this role is still being defined.

Preferred

Prior FAE, Sales Engineering, or FDE title - or startup experience as the de facto owner of an end-to-end implementation.
Familiarity with agentic dev tooling (Claude Code, MCP) - or strong enthusiasm to adopt it.
Background at NPU/edge-AI IP and silicon companies
Background at inference-focused startups in field/customer engineering or kernel teams.
FDE experience - candidates with embedded or ML-systems backgrounds.
Experience at technical trading arms optimizing kernels or hardware for speed
Big-firm consulting background, provided the candidate personally did the hands-on technical work rather than managing it.

What we offer

The base salary range for this position is $170,000 to $230,000. 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.

Quadric also 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 Opportunity

Quadric 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 Notices

Quadric 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.

Privacy

By 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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More about this job

Responsibilities

Lead customer evaluations through design wins by porting and optimizing workloads for the Chimera GPNPU, including profiling, adapting models, and developing custom kernels. Work directly with customer engineering teams, create reusable SDK skills and porting playbooks, and relay customer feedback to Quadric's engineering and product teams.

Requirements

Requires strong C++ and Python skills, experience writing performance-critical code for constrained hardware, and systems-level understanding of memory, data movement, and performance profiling. The role also calls for independent, empirical problem-solving and comfort with ambiguity; experience in FAE, sales engineering, FDE, edge AI, inference, or agentic development tools is preferred.

Skills

C++
Python
Performance-Critical Programming
Embedded Systems
NPU
DSP
GPU
Quantization
Custom Kernel Development
Compiler Tooling
Performance Profiling
Memory Bandwidth Optimization
Neural Network Inference
Customer Engineering
Technical Problem-Solving
Agentic Development Tooling

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Company-Paid Life Insurance
Supplemental Life Insurance
Short-Term Disability Insurance
Long-Term Disability Insurance
Commuter Support
Flexible Spending Account
Health Savings Account
Equity
Paid Parental Leave
401(k) Retirement Plan
Flexible Paid Time Off
Winter Holiday Shutdown
Catered Lunch

Visa sponsorship

Not detected in the job text

Keywords

Quadric Chimera GPNPU
Edge AI
Neural Processing Unit
C++
Python
Neural Network Inference
Large Language Models
Embedded Systems
Automotive
Industrial Systems
Robotics
Quantization
Custom Kernels
Compiler Tooling
Performance Profiling
Memory Bandwidth
Data Movement
DSP
GPU
Embedded SoC
Customer Evaluations
Design Wins
Field Application Engineering
Sales Engineering
Forward Deployed Engineering
Claude Code
Model Architecture
Benchmarking
SDK
Agentic Workflows

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