Senior Operations Systems Engineer — Palantir Foundry & MES

Skydio; Hayward (CA); On-site; USD 145,000 - 219,000; Full time

Benefits offered by this job

Stock options

Relocation assistance

Comprehensive benefits

Job summary

Skydio, a leading US drone company, seeks a Senior Operations Systems Engineer to scale our US manufacturing systems. You will evaluate make vs buy decisions, manage 3P implementations, and build Palantir-based solutions to optimize material flow, scheduling, and quality across our facilities.

You will partner with cross-functional teams including production, supply chain, and engineering to deliver scalable, data-driven improvements and insights.

Qualifications

• Experience implementing Palantir Foundry or similar products.
• Strong SQL, Python, Java abilities.
• Deep knowledge of MES, MRP, PLM in manufacturing.
• Ability to design data structures and build data pipelines.
• Ability to adapt to changing priorities with strong communication.
• FAA Part 107 certification within 60 days encouraged or required for some roles.

Responsibilities

• Collaborate with production, supply chain, quality, planning, and engineering to assess problems and needs.
• Conduct make vs buy decisions to meet company needs.
• Manage 3P implementation projects with stakeholders and vendors.
• Develop and implement applications within Palantir product suite to optimize material flow, ECOs, production scheduling, factory execution, and quality.
• Integrate new data sources while maintaining Palantir ontology.
• Prepare regular project status reports and highlight milestones to stakeholders.
• Drive continuous improvement across systems.

Skills

Palantir Foundry

SQL

Python

Java

Manufacturing Systems

Data Pipelines

Problem Solving

Cross-functional

Tools

Palantir Foundry

Job description

Skydio, a leading US drone company, seeks a Senior Operations Systems Engineer to scale our US manufacturing systems. You will evaluate make vs buy decisions, manage 3P implementations, and build Palantir-based solutions to optimize material flow, scheduling, and quality across our facilities.

You will partner with cross-functional teams including production, supply chain, and engineering to deliver scalable, data-driven improvements and insights.