Datapath and Database Engineer, System Test

2 Days ago • 3-5 Years • Quality Assurance • $147,000 PA - $216,000 PA

Job Summary

Job Description

The Datapath and Database Engineer at Raxium will support and improve existing data flow, including test data architecture using Python, SQL Server, PostgreSQL, and JMP. They will ensure data platforms meet the needs of production and R&D, collaborate with cross-functional teams, enhance test data frameworks with Test Engineering and Reliability teams, and create secure data paths for customer and partner interactions while maintaining IP security. The role requires experience in database development, ETL tools, and SQL programming, along with a Bachelor's degree in a related field and at least 3 years of experience (5 years preferred). The team develops new test systems to support next-generation AR display panels, emphasizing collaboration and data sharing to improve data access and test throughput.
Must have:
  • Database development (ETL, SQL)
  • Data system development/management
  • Python, SQL Server, PostgreSQL experience
  • Collaboration with cross-functional teams
  • Data architecture design and improvement
Good to have:
  • Experience in manufacturing testing
  • SQLAlchemy or PostgreSQL experience
  • Python scripting
  • JMP experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Computer Vision, or in a related field, or equivalent practical experience.
  • 5 years of experience developing or managing data systems, or 3 years of experience with an advanced degree.
  • Experience in database development including ETL tools and SQL programming.

Preferred qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • Experience in manufacturing testing.
  • Experience in SQLAlchemy or PostgreSQL.
  • Experience scripting in Python.

About the job

The Raxium team's mission is to develop and manufacture efficient, ultra-dense and ultra-resourceful monolithic RGB microLED displays for AR applications. The test team develops new test systems to support the next-generation AR display panels. We are an extremely collaborative group who interact daily with the entire Raxium display organization, sharing data to support continuing development efforts and ensure outgoing display quality. We are always looking for new approaches to improve data access and increase test throughput.

Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Support and improve existing data flow including: test data architecture (Python, SQL Server and PostgreSQL, JMP).
  • Ensure that data platforms and architecture meet the needs of fast moving production and Research and Development environments.
  • Collaborate with numerous cross-functional teams to address data needs.
  • Work with Test Engineering and Reliability teams to enhance test data frameworks.
  • Create secure, structured data paths for interactions with customers and partners while maintaining IP security.

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