Kinetic Weapons Engineer: High-Fidelity Simulations

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Competitive benefits

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) seeks an Advanced Kinetic Weapons Engineer to generate and analyze high-fidelity missile data, evaluating interceptor performance and validating simulations for credibility. You will present key findings to sponsors and influence future system designs, while working in a security-conscious environment.

Requirements include a PhD in engineering/CS/math/physics, strong data-analysis skills, HPC experience with SLURM/UGE, and proficiency

Qualifications

• PhD in Engineering, Computer Science, Math or Physics or soon to be awarded.
• Experience analyzing simulated large-scale dynamical systems.
• Ability to craft clear visualizations and explain outcomes.
• Experience with HPC clusters and scripting (SLURM/UGE).
• Exposure to VV&A testing and model-based systems engineering tools.

Responsibilities

• Generate and analyze simulated guided missile data using high-fidelity simulations.
• Evaluate performance of interceptor systems including EO/IR/RF seekers and guidance.
• Verify and validate simulations against requirements and real data.
• Present findings to government sponsors such as Navy and MDA.
• Impact future designs and decisions for warfighting systems.

Skills

Data analysis

Visualization

HPC scripting

VV&A testing

Linux

MATLAB

SciPy/Julia

SysML/Cameo/Rhapsody

Statistics

Security clearance eligibility

Education

PhD degree in Engineering/CS/Math/Physics

PhD candidacy / soon to be awarded

Tools

SLURM

Univa Grid Engine

SysML

Cameo

Rhapsody

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) seeks an Advanced Kinetic Weapons Engineer to generate and analyze high-fidelity missile data, evaluating interceptor performance and validating simulations for credibility. You will present key findings to sponsors and influence future system designs, while working in a security-conscious environment.

Requirements include a PhD in engineering/CS/math/physics, strong data-analysis skills, HPC experience with SLURM/UGE, and proficiency