Manufacturing ATE Engineer: Data-Driven Automation-Onsite

Sol-Ark Inc; Allen (TX); On-site; USD 85,000 - 105,000; Full time

Benefits offered by this job

Competitive salary

Bonus program

Medical, dental, vision

401(k) & PTO

Job summary

Sol‑Ark is seeking a Manufacturing ATE Engineer to develop and support automated test equipment and data systems for our manufacturing operations in Allen, Texas. This role collaborates with manufacturing, quality, and engineering to build test infrastructure, data pipelines, and analytics tools to improve yield and operational visibility.

The ideal candidate has hands-on ATE experience and strong software/data skills, with knowledge of dashboards and production quality metrics.

Qualifications

• Bachelor's or Master's in Electrical Engineering, Manufacturing Engineering, or a closely related field.
• Experience with manufacturing automated test equipment (ATE) and production test systems.
• Proficiency with Python and experience building automation tools.
• Experience with databases, APIs, and manufacturing data aggregation.
• Familiarity with dashboard development and production quality metrics.
• Strong analytical and problem‑solving abilities, with keen attention to detail.
• Ability to work independently, prioritize tasks, and meet project deadlines. Excellent communication skills and ability to collaborate with multidisciplinary teams.

Responsibilities

• Develop internal engineering applications and automation tools.
• Build databases and APIs for engineering data.
• Aggregate manufacturing, test, and field telemetry.
• Create dashboards and health metrics.
• Analyze reliability trends and product quality.
• Develop automated reporting and alerting. Support engineering teams with data-driven decision making.

Job description

Sol‑Ark is seeking a Manufacturing ATE Engineer to develop and support automated test equipment and data systems for our manufacturing operations in Allen, Texas. This role collaborates with manufacturing, quality, and engineering to build test infrastructure, data pipelines, and analytics tools to improve yield and operational visibility.

The ideal candidate has hands-on ATE experience and strong software/data skills, with knowledge of dashboards and production quality metrics.