AI Applications Engineer

Reposted 17 Days Ago
Burlingame, CA
In-Office
Mid level
Hardware • Machine Learning • Software
The Role
The AI Applications Engineer will lead technical support initiatives, develop demos and benchmarks, and provide customer training using Quadric's SDK. This role requires expertise in system architecture and optimization strategies, along with strong coding skills and the ability to troubleshoot complex issues.
Summary Generated by Built In

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.

Role

The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack into AI/LLM frameworks and ecosystem; [2] develop AI applications based on Quadric products; [3] lead technical customer/developer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [4] develop technical materials to support the use of Quadric product. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop AI applications, benchmarks, and reference implementations using Quadric's SDK. This senior technical role demands expertise in system architecture, AI frameworks, algorithm optimization, and the ability to provide technical leadership across global FAE teams. Candidates must demonstrate deep technical mastery of Quadric's product ecosystem including HPC Hardware (IP, Chips, Boards), SDK, and various algorithms (NN, DSP, Vision, Path Planning, etc.).

This California Bay Area based engineering role is intended to be primarily in-office at our Burlingame location, with the ability to commute regularly. We believe strong technical collaboration, rapid iteration, and shared problem-solving are well supported by working together in person. The team and company also gather periodically for onsite meetings and offsite events to connect, collaborate, and align on priorities.

Responsibilities
  • Customize AI/LLM frameworks and integrate Quadric products and SDK into AI/LLM ecosystem
  • Develop AI applications, demos using Quadric's SDK and AI frameworks to showcase product capabilities and performance to developer community and customers
  • Design and implement optimization strategies for AI/LLM applications on Quadric's platform
  • Analyze complex AI/LLM application requirements/issues and architect optimal solutions leveraging Quadric's technology
  • Collaborate across related areas of the AI inference stack to support team and business priorities
  • Provide technical leadership, training and support to developer community and customers worldwide
  • Work with Business Development to articulate technical value propositions to potential customers
  • Collaborate with Product and Engineering teams to influence product roadmap based on application needs
  • Stay current with industry trends, competitive technologies, and emerging applications
  • Occasional travel required to customer sites

Requirements
  • Bachelor’s or Master's in Computer Science and/or Electronics Engineering field
  • 5+ years experience with AI/LLM frameworks in at least one of the following: PyTorch, vLLM, Tensorflow, onnxruntime, llamacpp; deep understanding of the framework's codebase
  • Demonstrate knowledge of computer vision, perception, or LLM, and experience in related application development
  • Proficiency in Python and C/C++, experience with CUDA, NEON a plus
  • Experience with Linux, docker based development environments
  • Experience with quantization and model accuracy analysis a plus
  • Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades

Benefits

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space. 

  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual) to support work-life balance
  • When working in-office, enjoy company-provided lunches and a stocked kitchen
  • Convenient office location within walking distance of the Caltrain station
  • Support for commuting, including monthly parking or Caltrain passes
  • Downtown Burlingame office location, close to shops, cafes, and local amenities
  • A politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact
  • The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence

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.

Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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. Skills and growth come in many forms, and we would love to hear your story.

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.

Top Skills

Docker
Linux
Python
PyTorch
TensorFlow
Tensorflow-Lite
Unix
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The Company
HQ: Burlingame, CA
38 Employees
Year Founded: 2017

What We Do

Quadric has built a unified hardware/software architecture optimized for on-device machine learning inference. Only the Quadric GPNPU (general purpose neural processing unit) delivers high ML inference performance while also running C++ code without forcing the developer to artificially partition application code between two or three different kinds of processors. Quadric's GPNPU is a licensable processor IP core that scales from 1 to 64 TOPs and seamlessly intermixes scalar, vector and matrix code.

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