Quantitative Engineer II
dv01Salary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, TradingIndustries
Requirements
Candidates should possess a Master’s degree in Physics, Mathematics, or Computer Science, or an equivalent qualification, with exceptional grades. They must be highly proficient in various programming languages, comfortable in a Linux/Unix environment, and experienced with version control (git). Accurate coding practices and a strong understanding of minimizing errors are also required.
Responsibilities
As a Quant Developer, you will be responsible for developing software and models crucial to automated trading strategies, involving writing code, creating systems to handle complex data and processes, asking relevant questions, analyzing projects, conducting research, backtesting solutions, and implementing them. You will also monitor and interpret changes in legislation and develop HR policies to ensure compliance, conduct audits, deliver training, and advise management on HR-related risk mitigation strategies.
Skills
Python
C++
Java
Linux/Unix
Git
Data Analysis
Algorithm Development
Backtesting
Software Development
Quantitative Analysis
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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