[Remote] Field Application Engineer (Machine Learning) at Quadric

Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductors, Edge Computing, AutomotiveIndustries

Skills

Key technologies and capabilities for this role

Machine LearningNeural NetworksSystem DebuggingCodingScriptingC++DSPSDKHPC HardwareCustomer SupportTroubleshootingProduct PresentationsTechnical Training

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What are the required qualifications for this role?

Candidates need a Bachelor’s degree in Electronics Engineering and/or Computer Science with 5+ years of engineering experience, plus 3+ years working directly with customers in support of Sales or Business Development.

What technical skills are required?

Required skills include proficiency in Python, experience with Docker containers, Linux or Unix based operating systems, and at least one neural network framework such as PyTorch, Tensorflow, or Tensorflow-Lite, plus basic knowledge of software perception systems or Computer Vision.

What is the salary or compensation for this role?

This information is not specified in the job description.

Does this role involve travel?

Yes, some travel is required, including internationally to U.S. California headquarters occasionally for training and within the region as necessary.

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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Increased competition from established semiconductor companies threatens market share.

Rapid AI advancements may outpace Quadric's current product offerings.

Potential IP disputes could lead to costly legal battles.

Differentiation

Chimera GPNPU integrates matrix, vector, and scalar operations in one pipeline.

Quadric's GPNPU runs C code, enhancing versatility for neural network operations.

Quadric offers a unified architecture for ML inference and C++ processing.

Upsides

Quadric's Series B funding boosts expansion of engineering and commercial teams.

Partnership with Ams Osram enhances smart sensing solutions for edge applications.

Quadric Developer Studio simplifies AI and ML application development.

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