Real Time Embedded Software Engineer (Mid-Level or Senior)

Boeing•Seattle, WA

1d•$119,850 - $197,800•Onsite

About The Position

The Boeing Company is seeking a Real Time Embedded Software Engineer to join their Instrumentation and Data Systems (I&DS) team in Seattle, Washington, supporting the Boeing Test and Evaluation (BT&E) organization. This role involves building next-generation data acquisition and processing systems for Boeing's Lab Test facilities. The engineer will develop and maintain software and hardware platforms for acquiring, processing, storing, and visualizing high-volume sensor and time-series data. The systems developed will feed critical test results from various facilities into engineering workflows, enabling data-driven decisions for aircraft design validation and improvement. The position offers high autonomy and end-to-end ownership, from design to production, including architectural and technology choices, and direct customer engagement. BT&E is hiring for both Mid-Level and Senior level engineers.

Requirements

To meet U.S. export control compliance requirements, a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
2+ years of experience working with Real-Time Operating Systems
2+ years of experience with C/C++ software for real-time embedded systems
2+ years of experience with Application Development
Experience in experimental data acquisition, instrumentation, and analysis

Nice To Haves

7 or more years of related work experience or an equivalent combination of education and experience
Strong proficiency in C/C++ or C# (or similar)
Experience with native application development for Windows (C# and .NET, C++ and Qt, or similar)
Experience with relational databases (PostgreSQL, MySQL, SQLite, or similar)
Proficient in modern version control systems (Git, GitLab, or similar)
Proficient with containerization technologies (Docker or similar)
Proficient in Python, JavaScript/TypeScript, MATLAB, or other programming languages
Experience with data acquisition and processing systems (transducers, control systems, IoT devices, DAQ hardware, or similar)
Comfortable developing and operating on Windows and Linux environments
Experience with modern testing practices and tools (unit testing, TDD, etc.)
Familiar with continuous integration and deployment platforms (GitLab CI, CircleCI, GitHub Actions, or similar)
Experience with time-series file formats (HDF5, TDMS, or similar)
Experience with native data visualization libraries

Responsibilities

Work with a team of engineers to design, architect, develop, and support real-time data management solutions for storing, streaming, processing, and visualizing high-throughput sensor data
Deliver solutions that span the entire software development lifecycle, from design to production, and multiple deployment paradigms including CLI tools, native (Windows), and web applications
Interface with data acquisition hardware (transducers, DAQ devices) to pull and process data
Design and implement intuitive user experiences for data visualization and analysis
Build clean, well-tested APIs and streaming pipelines for high-throughput time-series data
Collaborate directly with customers and stakeholders to translate requirements into technical solutions
Provide technical leadership through code reviews, mentorship, architecture design, and operational best practices
Build and maintain deployment, CI/CD, observability, and database infrastructure
Help define team culture, standards, and processes
Help define product roadmap and priorities