2 months ago
Responsibilities
- Architect and build data pipelines and infrastructure for manufacturing and test data, including yield, SPC, failure, and reliability data.
- Design, build, and maintain dashboards and visualizations for executives, engineers, and external customers.
- Partner with optical, manufacturing, and quality/reliability engineers to develop robust data models and tooling from ambiguous requirements.
- Build automated data quality checks and validation pipelines, including checks that gate shipping readiness.
- Identify and resolve missing, inaccurate, or inconsistent data in collaboration with domain experts and data/ML engineers.
- Improve pipeline reliability, turnaround time, and cost across product lines.
- Apply software engineering practices such as version control, testing, code review, and CI/CD to data systems.
- Help set technical direction for the data organization across Thailand, Bangalore, Singapore, and the United States, and mentor other engineers.
Requirements
- 5+ years of professional software engineering experience, with substantial experience building and owning data, analytics engineering, or backend systems handling large operational datasets.
- Strong SQL skills and experience designing, building, and maintaining data pipelines.
- Hands-on experience building dashboards and visualizations with a BI or analytics framework such as Superset, Looker, Tableau, or similar.
- Proficiency with the Python data stack, including pandas and numpy, plus visualization libraries such as matplotlib, seaborn, altair, or similar.
- Experience with cloud data infrastructure, preferably AWS.
- Experience translating ambiguous requirements from non-data domain experts into reliable data solutions.
- Ability to own systems end-to-end, from data model through dashboard, in a fast-moving startup environment.
- Preferred: experience with manufacturing, semiconductor, hardware, high-volume operational or test data, statistical process control, SPC, yield analysis, or distributed multi-site teams.
Benefits
- Competitive salary commensurate with experience.
- Comprehensive benefits package including health insurance.
- Professional development opportunities and certification support.
- Access to cutting-edge technology and cloud platforms.
- Collaborative work environment with cross-functional teams.
- Opportunity to work with a Silicon Valley-headquartered team on photonics infrastructure.
- Equal opportunity employer.
About Lumilens
Lumilens designs, manufactures, and sells photonic interconnect hardware for AI and high-performance data centers, targeting hyperscalers and network infrastructure providers. Its factories use custom robotics and AI to build optical links that increase bandwidth and reduce latency between compute nodes. The company was founded in 2024, is headquartered in San Jose, California, and is venture-backed by Mayfield and Spark Capital.