AI Platform Applications Engineer – Tech Lead
Posted on 2/10/2024
d-Matrix

51-200 employees

AI inference platform with IMC technology
Company Overview
d-Matrix stands out in the AI compute platform sector by specifically targeting the energy and cost challenges of large-scale AI inference with their in-memory computing (IMC) techniques and chiplet level interconnects. Their approach has led to a more efficient integration of memory and compute resources, which is critical for the demanding workloads of generative AI and large language models. By offering a scalable solution that adapts to various model sizes, d-Matrix provides a sustainable and economically viable platform for companies facing the growing energy demands of AI technologies.
AI & Machine Learning
Data & Analytics
Hardware
B2B

Company Stage

Series B

Total Funding

$161.5M

Founded

2019

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

61%

2 year growth

400%
Locations
Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
Tensorflow
Pytorch
Linux/Unix
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science
  • 15+ years of relevant experience in customer engineering and field support for enterprise datacenter products
  • Hands-on experience with x86 server bring up and deployment with hardware accelerators
  • Strong analytical skills and past experience in reviewing enterprise system design
Responsibilities
  • Provide customer support and timely responses to customer queries
  • Perform system design reviews for data center applications
  • Work with OEM and ODM partners on system integration related to thermal, mechanical, electrical, PCIe, and other interconnect interfaces
  • Understand system design and datacenter infrastructure requirements for AI workloads, develop reference configurations and technical guides
  • Conduct the installation, configuration, and bring-up of server hardware
  • Create product specifications, hardware design guides, application notes, and other supporting technical collateral
Desired Qualifications
  • Hands-on understanding of AI/ML infrastructure and hardware accelerators
  • Automation Experience with Linux or Windows shell scripting, Python or Go
  • Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc. and container orchestration platforms such as Kubernetes