Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior)
About The Position
The Boeing Company is hiring Associate, Experienced, and Senior Data Fusion Systems Software Engineers/Analysts to support its Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri, in the St. Louis area. The role supports Boeing Defense, Space & Security’s Software Engineering organization. The team develops platform-agnostic software capabilities for network operations on tactical fighter aircraft. The position develops and prototypes advanced sensor-fusion algorithms using mathematical and statistical techniques to track and combine data from multiple sensors and sources. The engineer evaluates algorithm performance against key performance indicators and works with software architects to transition successful prototypes into production-ready capabilities. The role calls for collaboration, accountability, customer focus, continuous improvement, adaptability, and the ability to translate mathematical concepts into practical solutions in a multi-contract, multi-program environment. The position requires completing a technical CodeVue assessment during selection. Successful candidates must also satisfy the company’s Conflict of Interest assessment process. The position requires the ability to obtain a U.S. Security Clearance; an interim and/or final U.S. Secret Clearance is required after starting. U.S. citizenship is required for the clearance, and U.S. Person status is required for export-control compliance. The employer will not sponsor employment visas. Travel is up to 10%. Relocation may be offered based on eligibility. The job is not contingent upon a program award and is not safety-sensitive.
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 the 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, multimodal sensor-data fusion, sensor calibration, and visualization technologies.
- Meet the applicable education and experience qualifications for the level sought: Associate (Level 2), Experienced (Level 3), or Senior (Level 4).
- U.S. Person status as defined by 22 C.F.R. §120.62 is required for export-control compliance.
- Complete the required technical assessment and satisfy the company’s Conflict of Interest assessment process.
Nice To Haves
- Active U.S. Secret Security Clearance.
- Data-fusion analysis or software-development experience.
- Experience with sensor data such as radar and infrared sensors.
- Experience developing and implementing probabilistic models to combine sensor data, including Bayesian reasoning, Kalman filtering, and evidence theory.
- Experience with advanced probability and statistics and applying them in real-world scenarios.
- Self-starter with a positive attitude, high ethics, strong analytical and creative problem-solving skills, and a record of working successfully under pressure in time-constrained environments.
- Ability to collect, organize, synthesize, and analyze data; summarize findings; and develop conclusions and recommendations from appropriate data sources.
- 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.
- Associate (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.
- Experienced (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.
- Senior (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.
Responsibilities
- Derive and quantify data-fusion algorithms and techniques, including Kalman filters, Bayesian networks, and statistical modeling.
- Author and maintain technical descriptions, 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, 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 available based on candidate eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
