Staff Engineer, Developer and Qualification Tools at d-Matrix

Santa Clara, California, United States

Apply Now

$132,100 – $234,400Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductors, TechnologyIndustries

Requirements

Computer Science, Engineering, Math, Physics, or related degree
5+ years of industry experience in design of developer and deployment tools
Proficient in C/C++, Python, CLI development
Proficient in design of developer tools, including profiler and debuggers (such as gprof, gdb,...) for general purpose processors or accelerators (CPUs, GPUs, FPGAs, DSP processors)
Experience with orchestration tools used for data center deployment of ML workloads such as containers, K8s
Proficient in design of deployment tools such as card validation suites, management suites, and logging and analysis software (such Prometheus and Graphana)
Experience with ML graph compilation and runtime
Experience with designing tools for hardware vendors

Responsibilities

Develop, enhance, and maintain the tools suite for ML accelerator systems in a data center environment
Work on tools including profilers, debuggers, board management tools such as validation suites, and monitoring and logging tools
Expose C/C++, Python, and REST API interfaces to build frontends upon (CLIs, web interfaces, and other visualization tools)
Help productize the SW tools for the AI compute engine as part of the software team

Skills

C/C++

Python

CLI development

Profilers

Debuggers

gprof

gdb

Kubernetes

Containers

REST API

Validation Suites

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