AI Applications Engineer

quadric.io, Inc

Burlingame (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Work From Home

Free Food & Snacks

Stock Option Plan

Job summary

A technology company is seeking a Corporate Applications Engineer to act as a bridge between development and users. This role involves developing technical support materials, leading initiatives, and providing deep technical expertise on systems architecture. Candidates should possess strong coding skills and experience in neural network technologies. The position offers a comprehensive benefits package, including health care, retirement plans, and work-from-home options.

Qualifications

3+ years of experience supporting SDKs.
Basic knowledge of software perception systems or Computer Vision.
Experience with Git concepts.

Responsibilities

Develop reference implementations and benchmarks using the SDK.
Provide technical leadership to application engineers.
Analyze complex customer technical requirements.

Skills

Technical depth

Strong coding capabilities

Advanced troubleshooting skills

Proficiency in Python

Experience with Docker

Knowledge of neural network frameworks

Education

Bachelor’s or Master's in Computer Science or Electronics Engineering

Tools

Linux or Unix based operating systems

PyTorch

TensorFlow

Job description

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 Corporate Applications Engineer is the key bridge between development engineering and hands-on users in the field. The CAE will [1] lead technical customer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [2] develop supporting applications materials to support the use of Quadric product. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop customer demos, benchmarks, and reference implementations using Quadric's SDK. This senior technical role demands expertise in system architecture, 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.).

Responsibilities:

Develop reference implementations, demos, and benchmarks using Quadric's SDK to showcase product capabilities and performance
Provide technical leadership and support to field application engineers worldwide
Design and implement optimization strategies for customer applications on Quadric's platform
Work with Business Development to articulate technical value propositions to potential customers
Analyze complex customer technical requirements and architect optimal solutions leveraging Quadric's technology
Create detailed technical documentation, application notes, and implementation guides
Develop and deliver advanced technical training for customers and internal teams
Collaborate with Product and Engineering teams to influence product roadmap based on customer needs
Troubleshoot complex system-level issues and develop solutions in collaboration with Engineering
Stay current with industry trends, competitive technologies, and emerging applications
Occasional travel required to customer sites

Bachelor’s or Master's in computer science and/or Electronics Engineering field.
Minimum 3+ years experience working with customers/business development supporting SDKs.
Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision.
Proficiency in Python.
Experience describing, building, running and deploying Docker containers.
Experience with Linux or Unix based operating systems.
Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite.
Experience quantizing, running and debugging neural networks with PyTorch/ONNX runtime a plus.
Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)
Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.
Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades.