Chief Scientist - Fort Worth, Texas

Davidson Technologies, Inc.

$160K — $200K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in relevant STEM discipline or Master's with 15+ years of experience.
  • Minimum of 12 years in defense/aerospace systems engineering.
  • Proven technical leadership on major defense programs.
  • In-depth knowledge of key open architecture standards (OMS, SOSA, FACE, etc.).
  • Expertise in high-performance VITA standards and embedded systems.
  • Strong experience in advanced data fusion and joint all-domain command concepts.
  • Hands-on experience with modeling & simulation tools and digital engineering.

Responsibilities

  • Act as chief technical authority for advanced mission systems architecture.
  • Lead development of OMS/UCI System-of-Systems architectures ensuring standard compliance.
  • Guide design and integration of high-performance computing solutions.
  • Oversee optimization of SWaP-C in mission systems across various platforms.
  • Champion development of advanced data fusion and collaborative targeting solutions.

Benefits

  • Opportunities for professional development and advancement.
  • Access to cutting-edge technology in defense systems.
  • Participation in high-impact defense programs.
  • Collaborative work environment with leading experts in the field.
Full Job Description
Davidson is seeking a Chief Scientist in Ft. Worth, Texas.

Job Responsibilities:
  • Act as the chief technical authority for all advanced multi-domain mission systems, defining and evolving system architectures that satisfy stakeholder needs, align with technical roadmaps, and meet stringent performance, safety, and reliability standards.
  • Lead the development of Open Mission Systems (OMS)/Universal Command and Control Interface (UCI) System-of-Systems architectures, ensuring compliance with industry standards (SOSA, FACE, MOD, etc.) and enabling plug-and-play interoperability across domains.
  • Embedded Mission Computing & High-Performance Processing
    • Guide the design, integration, and validation of embedded mission computing solutions, including 3U VPX/OpenVPX-based systems, conduction-cooled architectures, and high-performance processing fabrics (GPUs, FPGAs, many-core processors).
    • Oversee hardware/software co-design efforts to optimize SWaP-C (Size, Weight, Power, and Cost) while maximizing throughput, deterministic latency, and ruggedness for airborne, space, ground, and naval platforms.
  • Advanced Data Fusion, Sensing & Collaborative Targeting
    • Champion the development of advanced data fusion algorithms, collaborative passive sensor targeting, and distributed tracking solutions that create a joint force common operational picture (COP)


Job Requirements:

  • Ph.D. in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Physics, or a closely related STEM discipline (Master's degree with 15+ years of relevant experience may be considered).
  • Minimum 12 years of progressive experience in defense/aerospace systems engineering, with a strong focus on mission systems, embedded computing, open architectures, and sensor/data fusion technologies.
  • Demonstrated track record of technical leadership on major defense programs (Air Force, Army, Navy, MDA, DARPA, or equivalent international customers).
  • Deep knowledge of Open Mission Systems (OMS), Universal Command and Control Interface (UCI), Sensor Open Systems Architecture (SOSA), FACE™, MOD, and related open-architecture standards.
  • Proven expertise in 3U VPX/OpenVPX, VITA standards, conduction-cooled embedded systems, high-performance computing (HPC) in constrained environments, and heterogeneous processing (CPU/GPU/FPGA/ASIC).
  • Strong background in advanced data fusion, multi-sensor integration, collaborative targeting, distributed tracking, and joint all-domain command and control (JADC2) concepts.
  • Hands-on experience with modeling & simulation tools (MATLAB/Simulink, ANSYS, Systems Tool Kit (STK), Python-based simulations) and digital engineering frameworks (MBSE, SysML, Cameo, etc.).
  • Familiarity with AI/ML algorithms for defense applications (target recognition, anomaly detection, predictive maintenance, decision support) and awareness of emerging paradigms (quantum ML, neuromorphic computing).
  • Understanding of system safety, reliability, security (cybersecurity, TEMPEST, DO-254/DO-178C as applicable), and certification processes for avionics and mission-critical systems.


Clearance Requirements:
  • Active DoD Security Clearance at the Secret level or above.

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