Senior Software Engineer, Distributed Systems
Mysten Labs$150,000 - $225,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Technology, High Frequency Trading, Data ProcessingIndustries
Requirements
Candidates should possess extensive knowledge and experience in building, testing, monitoring, and maintaining large-scale parallel applications and databases, with a strong understanding of C and C++ in Linux. They should also have an understanding of assembly code, compiler output, system calls, x64 hardware, and storage structures, along with the ability to work with debuggers and profilers and operate using version control systems.
Responsibilities
As a Senior C/C++ Low Latency Engineer at d-Matrix, the focus will be on developing code that facilitates automated trades on various exchanges worldwide, optimizing data processing pipelines, implementing low-latency networking code, designing context-switch-free code, creating custom data storage structures, developing complex trading logic, and re-implementing existing code using advanced CPU features. The role also involves building and maintaining the global (hardware) infrastructure, participating in data logging pipelines, and maneuvering between code optimization and maintainability efforts while preserving low-latency performance.
Skills
C
C++
Low Latency Programming
Parallel Applications
Networking
Data Structures
Streaming Data Pipelines
CPU SIMD
Multithreading
Performance Optimization
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