Electrophysics Engr​/Scien; Electrophysics Engr​/Scientist-General

Position Overview

Electrophysics Engineer/Scientist – Phantom Works, Berkeley, MO. This role supports the Boeing Defense, Space & Security Software Engineering organization and is expected to be 100% onsite.

• Derive and quantify data fusion algorithms and techniques.
• Author and maintain technical documentation, requirements, and algorithm analysis memos (AAMs) for data fusion methods.
• Analyze data fusion approaches for accuracy and effectiveness.
• Develop prototype algorithms in C++, Python, MATLAB, or similar languages.
• Collaborate with software architects to support efficient algorithm implementation and design.
• Collect, organize, synthesize, and analyze data; summarize findings and develop conclusions and recommendations.
• Work with customers to develop and refine requirements.

• Bachelor of Science degree in Engineering (Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non‑US equivalent qualifications directly related to the work statement.
• 5 or more years’ related work experience or an equivalent combination of technical education and experience or non‑US equivalent qualifications.
• 2+ years’ experience with data fusion engines, kinematic correlation techniques, and Kalman filters.
• 2+ years’ experience with pattern recognition, multi‑modal sensor data fusion, sensor calibration, and visualization technologies.
• 2+ years’ experience with sensors, sensor management and fusion, datalinks, and/or weapons and their interactions.
• Active U.S. Secret Security Clearance (or one active within the last 24 months).

• 9 or more years' related work experience or an equivalent combination of technical education and experience or non‑US equivalent qualifications.
• Data fusion analysis and/or software development experience.
• Experience with sensor data such as radar and various infrared sensors.
• Experience developing and implementing probabilistic models for sensor fusion (Bayesian reasoning, Kalman filtering, evidence theory).
• Experience with advanced probability and statistics and applying them to real‑world scenarios.
• Self‑starter with a positive attitude, strong ethics, and excellent analytical and creative problem‑solving skills.
• Proven ability to perform under pressure and within time‑constrained environments.
• Strong skill in collecting, organizing, synthesizing, and analyzing data; and in summarizing findings into actionable recommendations.

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

This position offers relocation based on candidate eligibility.

Boeing is a Drug Free Workplace where post‑offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

• Competitive base pay and variable compensation opportunities.
• Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and paid/​unpaid time away from work.
• Best‑in‑class 401(k) plan: company matches eligible contributions dollar for dollar, up to 10% of eligible pay with immediate 100% vesting.
• Student Loan Match: qualified student loan debt payments counted toward determining the company match to employees’ 401(k) accounts.
• Potential signing bonus for eligible/qualified external candidates.
• Pay range – Level 3: $112,200–$151,800;
  Level 4: $136,850–$185,150.

This position must meet U.S. export control compliance requirements. A “U.S. Person” as defined by 22 C.F.R. §120.62 is required (includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee).

This position requires an active U.S. Secret Security Clearance. U.S. Citizenship is required. A clearance active in the past 24 months is considered active.

Employer will not sponsor applicants for employment visa status.

This position is for 1st shift.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.