Principal Systems Engineer

Description

The company builds systems with lasting impact, and this role sits in its Product Support Analytics and Innovation team, which is seeking an experienced Principal Systems Engineer.

The role blends product support engineering with large-scale data science to inform design choices, raise system readiness, streamline processes and enable predictive support.

You will be the main link between data scientists, algorithm developers, product support engineers and management, turning analytical findings into supportability requirements and back again. You will also help verify and validate those analytical findings.

Location is on-site in San Diego, CA or Melbourne, FL. Relocation assistance may be available. Clearance is not required to start; the clearance type is Top Secret. Travel is 10% of the time.

Responsibilities

• Work with integrated technical teams, program management, customers and suppliers to align sector supportability goals with the Data Science organization.
• Shape high-level decisions by delivering logistics-focused risk assessments and trade studies.
• Suggest improvements to existing logistics support elements (R&M, LSA, PHM and similar), lower lifecycle costs and raise system availability.
• Prepare and present concise briefings, executive presentations and technical reports for senior leaders, external partners and cross-functional teams.

Requirements

• Bachelor's degree in a STEM discipline plus at least 5 years of relevant experience, or a Master's degree in a STEM discipline plus 3 years of related engineering experience.
• Experience with systems engineering verification and validation for complex analyses, including diagnostics, failure analysis and machine learning.
• Ability to obtain and maintain a US Government Top Secret clearance and any required program access within a reasonable period, as determined by the company.
• Preferred: active DoD Top Secret clearance and relevant SAP/SCI clearances.
• Preferred: experience across logistics support elements such as Reliability and Maintainability (R&M) Engineering, Logistics Support Analysis (LSA) & Maintenance Planning, Modeling & Simulation (ModSim), Support Equipment Engineering (SEE), Prognostics & Health Management (PHM), Supportable Low Observables (SLO), Obsolescence Management (DMSMS), Training & Training Systems, Technical Data, Support Hardware, Fleet & Field Support and/or Product Support Management (PSM).
• Preferred: familiarity with Python ecosystems (NumPy, Pandas, scikit-learn, PyTorch), SQL, Git, Docker and data-visualization libraries (Matplotlib, Plotly, PowerBI or Tableau).

Conditions

Base salary range is $98,400.00 to $171,000.00. This is a general guide; final offers depend on scope, responsibilities, experience, education, skills and market conditions.

The application window is estimated at 20 days from the posting date, and may be shortened or extended based on business needs and candidate availability.

Benefits

• Depending on the position, you may be eligible for overtime, shift differential and a discretionary bonus on top of base pay.
• Annual bonuses reward individual contributions and let employees share in company results. Vice President and Director roles may also be eligible for Long Term Incentives.
• Benefits include health insurance, life and disability insurance, a savings plan, company-paid holidays and paid time off for vacation and personal business.