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Systems Engineer III

3 weeks ago

Sunnyvale, California, United States Iron Systems Full time
Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.

Job Title: Systems Engineer III
Location: US - CA - Sunnyvale

Job Description:
  • Sensors Team is helping build novel products in Augmented and Virtual Reality.
  • AR/VR research and development in Sensors and Sensing Systems is driving the state-of-the-art forward through relentless innovation.
  • Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future AR/VR products at Meta.
  • We are looking for candidates with experience in software engineering with a deep understanding of software infrastructure and machine learning (ML) systems.
  • This role will focus on designing and implementing systems to support ML development for sensor systems.
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.
Minimum Qualifications
  • Bachelor's 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.
Preferred Qualifications
Experience with ML pipeline automation and data management in ML workflows.
Previous experience building ML systems and working on ML adjacent teams.
Demonstrated experience in cross-group and cross-culture collaboration.
Familiarity with the emerging Augmented Reality and Virtual Reality technologies.