Senior Principal Radio Frequency Machine Leaning (RFML) Systems Engineer - Active TS/SCI Preferred - Hybrid Schedule - (AST-CF)

Key Skills

Algorithms, CNNs, Data oriented design- DoD, Deep Learning, DSPs, GANs, GPUs, Keras software library, Leadership Skill, Machine learning techniques, Mathematical modeling, MxNet, PyTorch, RNNs, Signal processing, TensorFlow, XGBoost

Job Description

AST is seeking a Senior Principal RFML Systems Engineer to work closely with our customers, senior management, program managers, and cross-discipline technical staff to lead and consult on various airborne RF SIGINT products and programs. This engineer will provide systems engineering on new and existing products and develop and propose new concepts to customers utilizing artificial intelligence/machine learning techniques/approaches as applied to:

• Real-time RF SIGINT collection systems,
• Radio frequency analysis,
• Signal modulation recognition and sorting, and/or
• De-interleaving of pulses, specific emitter identification, and geolocation.

Qualifications/Experience Needed:

• Typically requires 10+ years of relevant professional experience in the analysis, design, and testing of RF SIGINT or EW systems.
• Typically requires 7+ years of strong research background in RFML concepts and systems.
• RF Systems Engineering expertise in one or more relevant technologies:

• RF/SIGINT sensors and Electronic Warfare (EW) systems
• RF propagation, Antennas/Arrays & RF interferometry
• Advanced signals and protocols (modern digital and/or wireless communications protocols, wideband and/or radar signals, advanced modulations, low power, spread spectrum, frequency hopping, encoded, encrypted, congested RF environment)
• Signal survey, snapshot, detection, identification, classification, direction finding, geolocation, demodulation, collection, and real-time analysis

• Demonstrable experience and/or expert knowledge of several machine learning techniques/approaches and/or technologies:
• Transfer learning, domain adaption of ML systems
• Deep learning-based radar signals analysis (characterization, association, etc)
• Random forest algorithms, extreme gradient boosting, and deep learning for RF classification and regression problems
• Spectrum sensing techniques (signal detection, parameter estimation, classification, RF fingerprinting/identification, anomaly detection)
• Data set creation and augmentation for simulated or recorded data
• Cognitive radio systems and waveform synthesis
• Integration of ML models on edge or alternative (non-GPU) platforms
• Application of different neural networks (CNN/RNNs/hybrid etc.,) and their performance on SWAP-constrained hardware
• Adversarial machine learning such as Generative Adversarial Networks (GANs)
• Modern machine learning frameworks and libraries (e.g. Keras, TensorFlow, PyTorch, MXNet, XGBoost)
• Ability to travel up to 25% (typically for business and customer meetings and demonstrations)
• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 8 years of experience or in absence of a degree, 14 years of relevant experience.
• Ability to obtain and maintain a DoD TS/SCI security clearance.

Security Clearance: 

• The ability to obtain and maintain a U.S. government issued security clearance is required.

• U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
• Must have or be capable of obtaining and maintaining a US Department of Defense (DoD) security clearance. Candidate selected will be subject to a government security investigation/reinstatement and must meet eligibility requirements.

Preferred Qualifications:

• Active and transferrable TS/SCI Clearance or current SSBI (or Active within the last 24 months)

• Knowledge of advanced signal processing concepts – mathematical, theoretical, as well as developmental knowledge.
• Experience with FPGA and Digital Signal Processing (DSP) implementation & digital beamforming
• Experience interacting with company leadership (business and engineering), working directly with customer personnel, preparing, and performing customer demonstrations and briefings.
• Experience in proposal preparation, cost and schedule estimation, risk and opportunity assessments and mitigations, and technical documentation related to contract deliverable items such as requirement, test plans and procedures, etc.

Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions — whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you’ll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today.

Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.

WE ARE REDEFINING AEROSPACE.

* Please consider the following role type definitions as you apply for this role.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings.

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all U.S. positions require a background check, which may include a drug screen.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day!

Employee Referral Eligible

AST

The salary range for this role is 123,000 USD - 259,000 USD; however, RTX considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.