Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior)

Boeing • Berkeley, MO

6d • Onsite

About The Position

The Boeing Company is hiring Associate, Experienced, and Senior-level Systems Software Engineers to support its Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri, in the St. Louis area. The team develops platform-agnostic software capabilities for network operations supporting tactical fighter aircraft and the Boeing Defense, Space & Security Software Engineering organization.

The Data Fusion Software Engineer develops and prototypes advanced sensor-fusion algorithms using mathematical and statistical techniques to track and combine data from multiple sensors and sources. The role evaluates algorithm performance against key performance indicators and partners with software architects to transition successful prototypes into production-ready capabilities. The position calls for collaboration, accountability, customer focus, continuous improvement, adaptability, and the ability to apply mathematical concepts to practical solutions in a multi-contract, multi-program environment.

The position requires completion of a technical coding assessment as part of the selection process, satisfaction of the company’s Conflict of Interest assessment, and the ability to obtain a U.S. Secret Security Clearance. An interim and/or final U.S. Secret Clearance is required after starting. Applicants must meet U.S. export-control requirements as a U.S. Person. Boeing will not sponsor employment visas. Travel is up to 10%, and relocation may be offered based on eligibility. This is a Shift 1 position and is not safety sensitive or contingent upon a program award.

Requirements

• Bachelor’s degree or equivalent.
• Ability to obtain a U.S. Secret Security Clearance; U.S. citizenship is required by the U.S. Government for this clearance.
• At least 2 years of experience with sensors, sensor management and fusion, datalinks, and/or weapons and their interactions.
• At least 2 years of experience with data-fusion engines, kinematic correlation techniques, and Kalman filters.
• Experience with pattern recognition, multi-modal sensor data fusion, sensor calibration, and visualization technologies.
• Ability to meet U.S. export-control compliance requirements as a U.S. Person.
• Complete a technical assessment as part of the selection process and satisfy the company’s Conflict of Interest assessment process.
• For Associate Level (Level 2): A relevant Bachelor of Science degree and 2+ years of related experience, or a bachelor’s degree and 6+ years of directly related experience, or 10+ years of related relevant experience.
• For Experienced Level (Level 3): A relevant Bachelor of Science degree and 5+ years of related experience, or a bachelor’s degree and 9+ years of directly related experience, or 13+ years of related relevant experience.
• For Senior Level (Level 4): A relevant Bachelor of Science degree and 9+ years of related experience, or a bachelor’s degree and 13+ years of directly related experience, or 17+ years of related relevant experience.

Nice To Haves

• Three or more years of related work experience or an equivalent combination of education and experience.
• Five or more years of related work experience or an equivalent combination of education and experience.
• Active U.S. Secret Security Clearance.
• Data-fusion analysis or software-development experience.
• Self-starter with a positive attitude, high ethics, strong analytical and creative problem-solving skills, and a record of working successfully under pressure in a time-constrained environment.
• Ability to collect, organize, synthesize, and analyze data; summarize findings; and develop conclusions and recommendations from appropriate data sources.
• Experience with sensor data such as radar and various infrared sensors.
• Experience developing and implementing probabilistic models to combine sensor data, such as Bayesian reasoning, Kalman filtering, and evidence theory.
• Experience with advanced probability and statistics and applying them in real-world scenarios.

Responsibilities

• Derive and quantify data-fusion algorithms and techniques, including Kalman filters, Bayesian networks, and statistical modeling.
• Author and maintain technical description documents, requirements, and algorithm analysis memos for data-fusion algorithms and techniques.
• Analyze data-fusion techniques for accuracy and effectiveness.
• Develop prototype algorithms using tools such as C++, Python, and MATLAB.
• Partner with software architects to inform effective and efficient algorithm implementation and design.
• Collect, organize, synthesize, and analyze data; summarize findings; and develop conclusions and recommendations from appropriate data sources.
• Collaborate with customers on requirements development.

Benefits

• Eligible employees may enroll in health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and programs providing paid and unpaid time away from work.
• Competitive base pay and variable compensation opportunities.
• Potential signing bonus for eligible and qualified external candidates.
• Relocation assistance may be offered based on candidate eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level