7 часов назад
Senior/Staff Software Engineer, Data (Photonics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Staff Software Engineer, Data (Photonics): Building data pipelines, models, quality checks, and visualizations that turn manufacturing and test data into reliable signals for engineering and leadership decisions with an accent on operational data, dashboards, and cross-functional requirements. Focus on designing dependable data infrastructure, validating shipping-readiness processes, and improving pipeline reliability, turnaround time, and cost across multi-site photonics operations.
Location: San Jose, United States
Company
is a well-funded startup building photonics infrastructure for AI supercomputing, including optical interconnects and scalable photonic engines.
What you will do
- 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, engineering teams, and external customers.
- Partner with optical, manufacturing, and quality/reliability engineers to turn ambiguous requirements into data models and tooling.
- 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 while helping set technical direction and mentoring other engineers.
Requirements
- 5+ years of professional software engineering experience, including substantial experience building and owning data systems, analytics engineering systems, or backend systems for large operational datasets.
- Strong SQL skills and experience designing, building, and maintaining data pipelines.
- Hands-on experience building dashboards and visualizations with Superset, Looker, Tableau, or a similar BI or analytics framework.
- Proficiency with the Python data stack, including pandas and numpy, plus visualization libraries such as matplotlib, seaborn, or altair.
- Experience with cloud data infrastructure, preferably AWS.
- Experience translating ambiguous requirements from non-data domain experts into reliable end-to-end data solutions.
Nice to have
- Experience with manufacturing, semiconductor, hardware, or high-volume operational and test data.
- Familiarity with statistical process control, SPC, or yield analysis.
- Experience working across distributed, multi-site teams.
- Direct experience with Apache Superset.
Culture & Benefits
- Work with a cross-functional team of optical, manufacturing, and quality/reliability engineers.
- Collaborate across sites in Thailand, Bangalore, Singapore, and the United States.
- Comprehensive benefits package including health insurance.
- Professional development opportunities and certification support.
- Access to cutting-edge technology and cloud platforms.
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