Mechanical Engineer (Engineer Mechanical 2)- 29510

HII's Mission Technologies division•Eglin AFB, FL

1d•$69,626 - $120,000•Onsite

About The Position

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 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. HII Mission Technologies Division is seeking a Mechanical Engineer to support the Air Force Research Lab (AFRL) at Eglin, Air Force Base on a 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.

Requirements

2 years relevant experience with Bachelors in Mechancal, Aerospace, or a related engineering field; 0 years relevant experience with Masters in Mechancal, Aerospace, or a related engineering field; or 0 years experience with PhD or Juris Doctorate iMechancal, Aerospace, or a related engineering field.
Demonstrated experience in the mathematical design, optimization, and development of the team's underlying MDAO framework, particularly utilizing large-scale hypercube sampling and parametric modeling methods.
Requires a proven record of high-level applied engineering design, including technical development and top-tier placement in national or international-level scientific or engineering optimization competitions.
Continuous technical alignment with the underlying MDAO system is mandatory to support the SUNK team's deliverables to the prime contractor. This specific part-time technical bridging effort is required to maintain momentum, prevent a critical break in technical continuity, and ensure a successful software Critical Design Review (CDR) in December 2026.
Must possess immediate, hands-on operational capability with the core software files, mathematical modeling code, and automated execution scripts of the existing MDAO pipeline.
Must be able to possess and maintain a clearance.

Responsibilities

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.
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.
Utilize the automated pipeline to run large-scale design space explorations, systematically analyzing thousands of underkeel engagement tactics scenarios using unclassified modeling tools.
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.