Systems Engineer

Brandes Associates Inc.•Leesdale, CA

15d•$145,000 - $160,000•Onsite

About The Position

BAI is seeking a Senior Data Analysis Engineer with more than 10 years of experience to support work at Naval Base Ventura County (NBVC), Naval Air Station Point Mugu, California. The role processes, reduces, analyzes, and evaluates ground laboratory and open-air flight test data. It serves as a functional and engineering subject matter expert in countermeasures, electronic warfare, software architecture, and sensors. Analysis supports formal verification of system performance requirements and Key Performance Parameters (KPPs), with results presented in decision-quality technical reports and executive-level briefings for program managers, test directors, and acquisition authorities. The engineer develops and maintains Python-based data extraction and analysis pipelines for avionics systems, electronic warfare suites, and sensor packages. Work includes analyzing synchronized, multi-source laboratory and flight-test data; correlating truth data with avionics recordings and telemetry; evaluating sensors and threat simulations; comparing results with requirements and specifications; and communicating findings that support readiness and acquisition decisions. The position requires a master's degree in engineering or a relevant technical discipline, or a bachelor's degree with an additional four years of relevant work experience as a substitute. Applicants must be U.S. citizens and have an active DoD Secret clearance based on an SSBI investigation. The position is based at Naval Air Station Point Mugu, California. The stated annual salary range is $145,000 to $160,000, subject to qualifications, related experience, location, and possible contractual requirements.

Requirements

More than 10 years of experience performing the duties described in the functional description.
Professional experience analyzing flight-test, range, or laboratory experimental data.
Proficiency developing custom data-processing and analysis scripts in Python.
Direct experience correlating TSPI truth data against system data.
Capability to decode, parse, and analyze digital avionics bus architectures and telemetry logs.
Experience evaluating system response to threat simulation environments and simulated emitter scenarios.
Excellent verbal and written technical communication and presentation skills for briefing technical and executive audiences.
Ability to work independently and identify root causes of system anomalies under dynamic operational conditions.
Comprehensive knowledge of avionics architectures, radar theory, RF propagation, and signal-processing principles.
Advanced Python scripting and data-analysis skills, including analysis of large, multi-rate time-series datasets.
Knowledge of test-range instrumentation, TSPI tracking methods, telemetry acquisition, and ground-laboratory simulation environments.
Ability to evaluate signal-to-noise degradation and isolate hardware and software failure modes.
Master's degree in engineering or a relevant technical discipline such as aerospace engineering, electrical engineering, computer science, physics, mathematics, or a related STEM discipline; alternatively, a bachelor's degree with four additional years of relevant work experience may substitute.
Active DoD Secret clearance based on an SSBI investigation, with eligibility for access to classified information.
U.S. citizenship at the time of application.

Nice To Haves

Direct experience conducting performance analysis on Radar Warning Receivers (RWR), Electronic Support Measures (ESM), or Electronic Warfare (EW) suites.
Direct experience performing performance analysis on RADAR systems, including AESA, Pulse Doppler, or synthetic aperture radar.
Familiarity with IRIG 106 Chapter 10/11 data standards and high-density RF threat generation platforms.

Responsibilities

Process, reduce, analyze, and evaluate ground laboratory and open-air flight test data.
Ingest, time-synchronize, and analyze multi-source data from ground laboratories, hardware-in-the-loop facilities, installed system test facilities, and live-fly range missions.
Evaluate Time-Space-Position Information (TSPI) from GPS, ground tracking radar, and optical assets, correlating truth data with onboard avionics recordings and telemetry.
Decode, process, and analyze avionics digital data buses and telemetry formats, including MIL-STD-1553, ARINC 429, Ethernet, Fibre Channel, and IRIG 106 Chapters 10/11.
Evaluate sensor performance, RF threat simulation logs, and emitter identification metrics in laboratory and flight conditions.
Architect, script, test, and maintain automated Python data-analysis tools and data-reduction pipelines.
Build automated routines to batch-process flight records, identify anomalies, conduct statistical analysis, and generate standardized verification metrics.
Apply software configuration management practices such as Git and develop reusable modules for post-flight analysis.
Compare test results against design specifications, system requirements, and interface control documents to identify deviations, anomalies, and trends.
Provide evidence-based recommendations on whether systems meet technical specifications and operational readiness standards.
Author Test & Evaluation reports, requirement verification matrices, deficiency reports, and technical memorandums.
Translate telemetry and statistical findings into executive-level presentations, visual dashboards, and briefing slides.
Present analytical findings to Test Directors, Flight Test Engineers, Chief Test Pilots, and Program Executive Offices to support Go/No-Go and acquisition decisions.
Participate in pre-flight test readiness reviews and post-flight debriefs to establish data collection criteria and optimize test point execution.