AI Applications Engineer at Quadric

Burlingame, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SemiconductorsIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science or Electronics Engineering
Minimum 3+ years of experience working with customers and business development, supporting SDKs
Basic knowledge of software perception systems and/or Computer Vision
Proficiency in Python
Deep technical mastery of Quadric’s product ecosystem, including HPC Hardware (IP, Chips, Boards), SDK, and various algorithms (NN, DSP, Vision, Path Planning, etc.)
Exceptional technical depth
Strong coding capabilities
Advanced troubleshooting skills

Responsibilities

Lead technical customer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams
Develop reference implementations, demos, and benchmarks using Quadric’s SDK to showcase product capabilities and performance
Design and implement optimization strategies for customer applications on the Quadric platform
Create detailed technical documentation, application notes, and implementation guides; develop and deliver advanced technical training for customers and internal teams
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; troubleshoot complex system-level issues and develop solutions in collaboration with Engineering
Stay current with industry trends, competitive technologies, and emerging applications
Collaborate with Product and Engineering teams to influence product roadmap based on customer needs
Occasional travel required to customer sites

Skills

Python

Computer Vision

Neural Networks

DSP

Path Planning

HPC Hardware

SDK

Algorithm Optimization

System Architecture

Troubleshooting

Quadric

Simplifies SoC design for machine learning

About Quadric

Quadric focuses on simplifying the design and programming of System on Chips (SoCs) specifically for machine learning applications. Their main product is the Chimera, a General-Purpose Neural Processing Unit (GPNPU) that combines matrix and vector operations with scalar control code in a single execution pipeline. This design allows developers to avoid splitting application code across different processors, making the development process more efficient. Quadric serves clients in the semiconductor industry, including SoC developers and manufacturers, who need to improve their machine learning capabilities. Unlike competitors, Quadric offers a comprehensive solution that includes both hardware and software tools, such as the Chimera LLVM C Compiler and the Chimera Instruction Set Simulator, enabling developers to design, simulate, and deploy their applications effectively. The goal of Quadric is to enhance the performance and ease of development for machine learning applications on SoCs.

Burlingame, CaliforniaHeadquarters

2017Year Founded

$42.1MTotal Funding

DEBTCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

51-200Employees