Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
The role requires excellent customer communication and troubleshooting skills, system debugging, coding, scripting, and the ability to acquire expert-level skills with Quadric's HPC Hardware, SDK, and algorithms including NN, DSP, Vision, and Path Planning.
This information is not specified in the job description.
Yes, some travel is required, including internationally to U.S. California headquarters occasionally for training and within the region as necessary.
Strong candidates will have technical expertise in system debugging, coding, scripting, and machine learning workloads, along with excellent customer communication skills and the ability to work independently while collaborating with Sales, Marketing, Product, and Engineering teams.
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.