Quant Developer

Utrecht, Utrecht, Netherlands

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, BiotechnologyIndustries

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 technical aspects are also required.

Responsibilities

As a Quant Developer at d-Matrix, you will be responsible for developing software and models crucial to automated trading strategies, writing code to handle complex data and processes, asking relevant questions, analyzing projects, conducting research, backtesting solutions, and implementing them. You will also contribute to the development of HR policies to ensure compliance and deliver training, alongside advising management on HR-related risk mitigation strategies.

Skills

Python

C++

Java

Linux

Unix

Git

Data Analysis

Backtesting

Software Development

Mathematical Modeling

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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