Research Staff, LLMs
Deepgram$150,000 - $220,000/year
Full Time
Expert & Leadership (9+ years)
₹40,000,000 – ₹60,000,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries
Requirements
- Strong mathematical skills
- MSc or PhD in math, CS, statistics, physics, or a related STEM field
- Experience in Python and OOP code design
- Experience with transformer architecture is advantageous but not mandatory
Responsibilities
- Invent efficient algorithms for optimizing Large Language Model inference on DNN Accelerators
- Design efficient algorithms for optimizing Large Language Model inference on DNN Accelerators
- Implement efficient algorithms for optimizing Large Language Model inference on DNN Accelerators
- Work as part of a close-knit team of mathematicians, ML researchers, and ML engineers
- Create and apply advanced algorithmic and numerical techniques to research in the overlap of mathematics, ML, and modern LLM applications
Skills
Machine Learning
Python
OOP
Transformer Architecture
LLM Optimization
Algorithm Design
DNN Accelerators
Mathematics
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.
Santa Clara, CaliforniaHeadquarters
2019Year Founded
$149.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Benefits
Hybrid Work Options
Risks
Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.
Complex AI chip design could lead to delays or increased production costs.
Rapid AI innovation may render d-Matrix's technology obsolete if not updated.
Differentiation
d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
The company offers scalable AI solutions through modular, low-power chiplets.
d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.
Upsides
Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.
Partnerships with companies like Microsoft could lead to strategic alliances.
Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.
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