DevOps Engineer
Swish AnalyticsSalary not specified
Full Time
Senior (5 to 8 years)
$175,000 – $290,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Machine Learning, TechnologyIndustries
Requirements
- Computer Science, Engineering, Math, Physics, or related degree
- Minimum 7+ years of industry experience in software infrastructures and DevOps
- Proficient in C/C++, Python
- Proficient with Gitlab merge process, merge trains, and CI/CD
- Proficient with Docker and Podman containers
- Experience with orchestration tools used for data center deployment of ML workloads such as K8s
- Experience with Bazel, code coverage, data source integration, and DevOps metrics
- Experience with root causing CI issues, linting, bisect tooling, remote code coverage, security and vulnerability test coverage
- Strong exposure to REST APIs, Linux stacks and containers
Responsibilities
- Enable the Software Infrastructure to scale and support the entire Software Engineering organization
- Develop, enhance, and maintain Gitlab, Docker, and tools to support the development of ML accelerator systems both on hardware and software
Skills
C/C++
Python
Gitlab
CI/CD
Docker
Podman
Kubernetes
Bazel
REST APIs
Linux
DevOps
code coverage
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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