Jobs and Careers

Mechanical Engineer (Engineer Mechanical 2)- 29510

HII

Eglin AFB, FL, Florida, United States, United Statesfull_timeVerifiedPosted 23 Jul 2026

💰 $120,000/yr($69,626/yr – $120,000/yr)

About the role

Requisition Number: 29510

Required Travel: 0 - 10%

Employment Type: Part Time/Hourly/Non-Exempt

Anticipated Salary Range: $69,626.00 - $120,000.00

Security Clearance: Ability to Obtain

Level of Experience: Entry Level HI

This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.

HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.

Leadership Mindset at HII – Mission Technologies

Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:

Know & Grow Your People – Commit to learning and supporting team success.
Build Relationships – Communicate openly, collaborate well, and build trust.
Take Ownership – Deliver on commitments and take pride in your work.
Customer First – Focus on the mission and those we serve.
Shape the Future – Bring ideas, curiosity, and continuous improvement.
Act with Urgency – Take initiative and follow through with purpose.

These capabilities guide how all employees contribute to our shared success across Mission Technologies.

Job Description

HII Mission Technologies Division is seeking a Mechanical Engineer to support the Air Force Research Lab (AFRL) at Eglin, Air Force Base on a the critical, short-term engineering and algorithm development requirement. This effort will focus on providing specialized algorithm expertise to enable the AFRL team to deliver detailed guidance and informed data to a prime contractor, directly supporting an upcoming software Critical Design Review (CDR) in December 2026. To prevent a critical gap in capability while optimizing fiscal resources, the government requires highly specialized, part-time contractor support (constrained to 8 hours or under per week, targeted at 7 hours per week). This targeted level of effort will focus strictly on expanding the existing Multidisciplinary Design Analysis and Optimization (MDAO) system—transitioning it from a disconnected, manual workflow into a fully connected, automated pipeline—and integrating higher-fidelity baseline data. By replacing simplified, legacy assumptions with more accurate, unclassified physics-based ship models, this work will enable the systematic analysis of underkeel engagement tactics and isolate the precise input variables needed to optimize seeker algorithm performance.

Essential Job Responsibilities

DAO Pipeline Automation: Expand the existing MDAO system from its current state as a disconnected, manual workflow and transition it into a fully connected, automated pipeline. This will create a unified, streamlined system capable of executing automated, large-scale design space explorations to optimize seeker algorithm performance.
High-Fidelity Baseline Data Integration (Unclassified/CUI): Integrate higher-fidelity baseline data into the automated MDAO pipeline. The contractor shall replace simplified, legacy assumptions with more accurate, unclassified physics-based ship modeling parameters. No detailed lethality areas or classified datasets shall be utilized.
Large-Scale Simulation & Design Space Exploration: Utilize the automated pipeline to run large-scale design space explorations, systematically analyzing thousands of underkeel engagement tactics scenarios using unclassified modeling tools.
Seeker Algorithm Optimization: Analyze parametric simulation outputs to isolate and identify the precise combinations of unclassified input variables needed to optimize seeker algorithm performance. This expertise will enable the AFRL/RABS SUNK team to provide a prime contractor with detailed guidance and informed data to support the target program of record ahead of the upcoming software CDR in December 2026.