Staff Engineer, Developer and Qualification Tools at d-Matrix

Santa Clara, California, United States

d-Matrix Logo
$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

Key technologies and capabilities for this role

C/C++PythonCLI developmentProfilersDebuggersgprofgdbKubernetesContainersREST APIValidation Suites

Questions & Answers

Common questions about this position

What is the salary range for the Staff Engineer position?

The salary range is $132.1K - $234.4K.

Is this role remote or hybrid, and where is it located?

The role is hybrid and based at the Santa Clara, CA headquarters, but open to other locations within the US/Canada.

What are the key skills required for this Staff Engineer role?

Required skills include proficiency in C/C++, Python, and CLI development; experience designing developer tools like profilers and debuggers; and familiarity with orchestration tools such as containers and K8s, plus ML graph compilation and runtime.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, inclusivity, and diverse perspectives for better solutions, while seeking passionate individuals driven by execution.

What makes a strong candidate for this role?

Strong candidates have 5+ years in designing developer and deployment tools, a relevant degree in Computer Science or related field, and preferred experience in startups, AI compute companies, or MLOps, along with staying current on ML trends.

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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