Software Engineer - Data Acquisition .NET, C++ (Mid-Level or Senior)

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

The Boeing Company is currently seeking a Real Time Embedded Software Engineer to join our Instrumentation and Data Systems (I&DS) team located in Seattle, Washington. This position will focus on supporting the Boeing Test and Evaluation (BT&E) organization.

Join us to build the next generation of data acquisition and processing systems used across Boeing's Lab Test facilities. As a member of the I&DS development team, you will develop and maintain software and hardware platforms for acquiring, processing, storing, and visualizing high-volume sensor and time-series data. The systems you deliver will feed critical test results from wind tunnels, test stands, and other facilities into engineering workflows, enabling data‑driven decisions that validate and improve aircraft designs.

You will work on a high autonomy team with end-to-end ownership: design, implement, and ship features from prototype to production; make architectural and technology choices that shape product direction; and engage directly with customers and stakeholders. If you thrive in a technically challenging role with high autonomy and ownership, this is the place to excel!

BT&E is currently hiring for a broad range of experience levels including Mid-Level and Senior level Real-Time Embedded Software Engineer.

Position Responsibilities Include:

• 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

Basic Qualifications (Required Skills/Experience):

• 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

Preferred Qualifications (Desired Skills/Experience):

• 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