Simplify Logo

Full-Time

Director – Hardware Manufacturing Engineering

Posted on 7/8/2024

d-Matrix

d-Matrix

51-200 employees

AI compute platform using in-memory computing

AI & Machine Learning
Data & Analytics
Hardware

Expert

Santa Clara, CA, USA

Category
Hardware Engineering
Hardware Validation & Testing
Manufacturing Engineering
Mechanical Engineering
Required Skills
Agile
Communications
Requirements
  • Bachelor’s in Electrical / Mechanical / Industrial Engineering or related field
  • 12+ years’ experience as a Manufacturing, Quality, Reliability, or Product Engineer
  • 5+ years’ Leadership experience leading Manufacturing Engineering teams for Hardware development, preferably in the Server, Networking equipment space
  • Experience developing solid, effective technical relationships with contract manufacturers
  • Knowledge of manufacturing processes and demonstrated history of implementing new production lines and process improvements
  • Knowledge of quality processes - production part approval process (PPAP), advanced product quality planning (APQP), first article inspection reports (FAIR), metrology tools and concepts etc.
  • Ability to influence the product electrical design and manufacturing process
  • Experience with ERP and PDM systems (NetSuite, Agile, Arena etc..)
  • Excellent Communication, Collaboration and Problem-solving skills
  • Ability to work independently, manage multiple projects and meet tight deadlines
Responsibilities
  • Lead evaluation, qualification and strategic development of ODM & EMS partners
  • Identify and address manufacturing roadblocks in early development phase and drive flawless NPI execution to accelerate TTM
  • Drive HW DfX methodologies with Engineering and Mfg partners to ensure manufacturability and reliability
  • Define and drive Product Validation and Reliability Demonstration test requirements and execution plans
  • Collaborate with Engineering stakeholders and partners to drive selection, development and qualification of critical component technologies and component vendors
  • Define Product Data Structure, PN scheme, BOM structure and AVL management and drive implementation of Product Data Management Systems and create/manage BOM, AVL and ECOs
  • Ensure repeatable and controlled manufacturing processes, track defects and drive FA/RC/CA and continuous improvement programs at Mfg sites and Component Vendors
  • Plan and execute AVL quals for alternate sources to enhance supply availability, quality and product cost

d-Matrix is developing a unique AI compute platform using in-memory computing (IMC) techniques with chiplet level scale-out interconnects, revolutionizing datacenter AI inferencing. Their innovative circuit techniques, ML tools, software, and algorithms have successfully addressed the memory-compute integration problem, enhancing AI compute efficiency.

Company Stage

Series B

Total Funding

$161.5M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

20%

2 year growth

127%