Data Fusion Engineer - Sensor Fusion & Kalman Prototyping

The Boeing Company; Missouri; On-site; USD 94,000 - 200,000; Full time

Job summary

The Boeing Company in Missouri is seeking a Data Fusion Systems Software Engineer/Analyst at Associate, Experienced, or Senior level to join the Phantom Works Network Centric Operations team. You will design and prototype sensor-fusion algorithms, validate with KPIs, and transition concepts to production with collaboration from software architects.

Applicants should have a strong math foundation, be adaptable to evolving tech, and possess experience translating theory into practical solutions.

Qualifications

• Bachelor's Degree in engineering, physics, data science, or computer science.
• U.S. citizenship with ability to obtain a Secret clearance.
• 2+ years in sensors, fusion, and data fusion engines.
• Experience with Kalman filters or probabilistic data fusion methods.

Responsibilities

• Derive and quantify data fusion algorithms and techniques (Kalman Filters, Bayesian Networks, statistical modeling, etc.).
• Author and maintain technical documents and memos for data fusion methods.
• Analyze data fusion techniques for accuracy and effectiveness.
• Develop prototype algorithms using C++, Python, MATLAB, and similar tools.
• Collaborate with software architects to implement efficient algorithms.
• Collect, organize, synthesize, and analyze data to develop actionable conclusions.
• Work with customers to gather requirements and provide data-driven recommendations.

Skills

Kalman filters

Bayesian networks

Sensor fusion

Pattern recognition

Education

Bachelor's Degree

Tools

C++

Python

MatLab

Job description

The Boeing Company in Missouri is seeking a Data Fusion Systems Software Engineer/Analyst at Associate, Experienced, or Senior level to join the Phantom Works Network Centric Operations team. You will design and prototype sensor-fusion algorithms, validate with KPIs, and transition concepts to production with collaboration from software architects.

Applicants should have a strong math foundation, be adaptable to evolving tech, and possess experience translating theory into practical solutions.