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Tailored Management

Systems Engineer III

Tailored Management, Sunnyvale, CA, United States


Systems Engineer
Location:
Hybrid Sunnyvale, CA
Competitive Compensation: $70+/Hr
Schedule: Monday-Friday (40 hrs), standard business
Contract Duration: Initial 12-month W2 (expected extensions/conversion)
Start Date: Targeting January 2024
Benefits: Medical, dental, vision, disability healthcare coverage + PTO, paid sick leave

JOB DESCRIPTION

The Sensors Team is helping build Client 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. 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
  • Build ML algorithms to enable features for AR/VR product lines
  • 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
  • Must have: machine learning, python, C++
  • Good to have: experience with sensors and embedded systems
  • 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.