AI Solutions Engineer
Arize AIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is on-site.
This information is not specified in the job description.
Required skills include basic knowledge of software perception systems and/or Computer Vision, proficiency in Python, and deep technical mastery of Quadric’s product ecosystem including HPC Hardware, SDK, and algorithms like NN, DSP, Vision, and Path Planning.
Candidates need a minimum of 3+ years of experience working with customers and business development, supporting SDKs, along with a Bachelor’s or Master’s degree in Computer Science or Electronics Engineering.
A strong candidate will have exceptional technical depth, strong coding capabilities, advanced troubleshooting skills, and experience collaborating across teams like field application engineers, Business Development, Product, and Engineering.
Simplifies SoC design for machine learning
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.