ML Infrastructure Engineer
Confirmed live in the last 24 hours
Delart

11-50 employees

Provides engineering R&D for advanced wireless technologies
Company Overview
Delart, a leader in engineering research and development services, offers unparalleled expertise in advanced wireless technologies, including Wi-Fi, 5G, and mmWave. The company's competitive edge lies in its comprehensive capabilities in hardware and silicon development, software and firmware development, and large-scale platforms for wireless productization. Guided by founder Alireza, a wireless systems expert with a track record of significant contributions to wireless standards and product development, Delart's culture fosters technical excellence and industry leadership.
Data & Analytics
Hardware

Company Stage

N/A

Total Funding

N/A

Founded

2017

Headquarters

Sunnyvale, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-6%

2 year growth

17%
Locations
Redmond, WA, USA • Sunnyvale, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Development Operations (DevOps)
CategoriesNew
AI & Machine Learning
DevOps & Infrastructure
Software Engineering
Requirements
  • B.Sc. degree in Computer Science or a related field
  • Minimum 5+ years of experience in software engineering, with a focus on infrastructure design
  • 5+ years experience in Python and C++
  • Proven experience in designing complex systems and strong software engineering skills
  • Strong understanding and experience with distributed systems and infrastructure design
  • Demonstrated expertise in DevOps practices, with a focus on ML
Responsibilities
  • Design and develop systems to support Machine Learning algorithm development within the team
  • Own the system design that will cater to multi-modal input, quick prototyping of algorithms, visualization tools and state-of-the-art ML algorithm architecture development
  • Build distributed systems and pipelines for data management, ensuring scalability, reliability and performance
  • Demonstrate a deep understanding of DevOps practices and apply them to ML operations
  • Handle the complexities of designing and implementing ML infrastructure systems in a dynamic and fast-paced environment
  • Contribute to the overall impact of the team by delivering robust and efficient ML infrastructure
Desired Qualifications
  • Experience with ML pipeline automation and data management in ML workflows
  • Previous experience building ML systems and working on ML adjacent teams