LEAD ANALYST - LEAD ENGINEER - PRINCIPAL ENGINEER - AI & Machine Learning Intelligent Avionics

Southwest Research Institute; San Antonio (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Southwest Research Institute seeks a senior AI/ML engineer to lead R&D for aerospace mission systems in the Strategic Aerospace Department. You will drive physics-informed ML for sensor fusion, anomaly detection, and autonomous capabilities on embedded hardware using C/C++, Python.

You will collaborate with multidisciplinary teams, guide SIL/HIL testing, and mentor engineers while advancing AI capabilities through strategy, proposals, and demonstrations.

Qualifications

• Requires a Bachelors or a Masters in Electrical/Computer/Aerospace Engineering, Engineering Physics, Applied Mathematics, or Data Science.
• Graduate degrees in AI/ML are strongly preferred.
• 12+ years of progressive engineering leadership and AI/ML deployment experience.

Responsibilities

• Lead AI/ML R&D for aerospace mission systems and real-time edge computing.
• Develop physics-informed and data-driven ML for sensor fusion and anomaly detection.
• Architect and transition AI/ML to embedded hardware using C/C++ and Python.
• Provide senior technical leadership for cross-disciplinary integration and verification.

Skills

AI/ML research

C/C++ development

Python development

Real-time embedded systems

Sensor fusion

Edge computing

Technical leadership

PyTorch

TensorFlow

JAX

Education

EE/CE/AE degree

Engineering Physics

Applied Mathematics

Data Science degree

Graduate AI/ML degree

Tools

PyTorch

TensorFlow

JAX

Job description

Who We Are

The Strategic Aerospace Department in the Defense & Intelligence Solutions Division provides the USAF with engineering services that increases the warfighters capabilities specifically for the bombers, tankers and heavies platforms.

Objectives of this Role

• Lead advanced AI/machine learning (ML) research and development for aerospace mission systems, embedded avionics, intelligent sensing, autonomy, and real-time edge computing across the Department's strategic avionics portfolio.
• Develop physics-informed and data-driven ML approaches for sensor fusion, system identification, anomaly detection, prediction, decision support, and adaptive mission-system capabilities.
• Architect, prototype, and transition AI/ML algorithms from research environments into deployable embedded hardware using C/C++, Python, heterogeneous processors, and real-time software frameworks.
• Provide senior technical leadership for multidisciplinary integration of AI-enabled hardware/software into complex avionics systems, including laboratory, SIL/HIL, subsystem, and platform-level verification.
• Advance Department AI capabilities through technical strategy, customer engagement, proposals, publications, technology demonstrations, mentoring, and transition of research into funded aerospace programs.

Daily and Monthly Responsibilities

• Design, implement, optimize, and validate AI/ML algorithms for embedded aerospace and avionics applications, including physics-informed ML, sensor fusion, inference, prediction, classification, and autonomy.
• Develop production-quality Python and C/C++ software and deploy trained models to real-time embedded compute platforms; profile latency, memory, power, determinism, reliability, and mission performance.
• Integrate AI algorithms with avionics hardware, sensors, communications, mission software, and test assets; develop and execute SIL/HIL experiments, data pipelines, verification methods, and performance assessments.
• Collaborate with electrical, embedded software, systems, RF, mechanical, test, cybersecurity, and flight-domain engineers to solve complex AI integration, interface, timing, assurance, and qualification challenges.
• Lead technical reviews, trade studies, experiments, customer demonstrations, proposals, white papers, and technical reports; mentor engineers and establish reusable AI/ML architectures, tools, and engineering practices.

Requirements

• Requires a Bachelors or a Masters degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, Engineering Physics, Applied Mathematics, Data Science, or related engineering or technical degree field. Graduate degrees in AI or Machine Learning or a closely related discipline are strongly preferred.
• 12+ years: Progressive engineering experience developing advanced AI/ML, data science, intelligent systems, or autonomy solutions, with demonstrated technical leadership and successful transition of algorithms into operational hardware/software.
• 12+ years: Proven expertise in physics-informed machine learning, scientific ML, system identification, reduced-order modeling, estimation, optimization, uncertainty quantification, or hybrid physics/data-driven methods.
• 12+ years: Expert-level Python and C/C++ development with hands-on experience using modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent, and deploying models to embedded CPU/GPU/FPGA or other edge-compute hardware.
• 12+ years: Demonstrated aerospace/defense avionics experience integrating AI-enabled capabilities with sensors, mission systems, embedded electronics, real-time interfaces, SIL/HIL test environments, and verification/validation processes. A valid/clear driver's license is required.

Special Requirements

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Applicant must be a U.S. citizen.

Job Locations

San Antonio, Texas Or Oklahoma City, Oklahoma

For more information about this division, visit the Defense & Intelligence Solutions home page.

For benefits information at our San Antonio location, click here.

For benefits information at all other locations, click here.

An Equal Employment Opportunity Employer

race, color, religion, sex, national origin, disability, and veteran status.