Principal Technical Program Manager
GroqSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
$180,000 – $280,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Hardware, Enterprise SoftwareIndustries
Requirements
Candidates should have a BS in Electrical Engineering or Computer Engineering, with a Master's degree preferred. A minimum of 10 years of experience in hardware development is required, along with experience in deploying products to volume production. Hands-on experience in the design, bring-up, and debugging of PCBAs and chassis is essential, as well as proficiency in using schematic capture and PCB layout tools. Knowledge of thermal and mechanical designs, along with familiarity with signal and power integrity concepts, is also expected.
Responsibilities
The AI Hardware Systems Engineer will design, develop, and deploy scalable GenAI inference solutions using d-Matrix accelerator silicon. They will collaborate with cross-functional teams to specify, design, and integrate custom accelerators, processors, and memory modules for AI workloads. The role involves leading the bring-up of new AI systems, conducting prototype testing and validation, and debugging hardware-software integration issues. Additionally, the engineer will prepare comprehensive documentation and stay updated on advancements in GenAI hardware and software technologies.
Skills
PCBAs
PCB Layout
Schematic Capture
Thermal Design
Mechanical Design
Signal Integrity
Power Integrity
Hardware Development
AI Inference
GenAI
d-Matrix
AI compute platform for datacenters
About d-Matrix
d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.
Key Metrics
Santa Clara, CaliforniaHeadquarters
2019Year Founded
$149.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees