Senior Principal Signal Processing Scientist

Key Skills

Effective communication skills, Machine learning techniques, Optimization, Signal processing

Job Description

At Raytheon BBN, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

We solve challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team in Arlington, VA, Cambridge, MA, or Columbia, MD locations. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below.

Statistical signal processing:

• Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound

• Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

• Cyclostationary signal processing:

• CAF, SCF, SOF estimation

• Computation of Cyclic Cumulants

• Cyclic Feature Detection

Adaptive signal processing:

• Temporal and space-time adaptive processing

• Interference covariance estimation techniques including both structured and reduced-rank techniques

• Wiener filtering and on-line adaptive techniques such as LMS and RLS

• Kalman filtering, particle filtering, and multi-hypothesis tracking

• Machine learning and optimization for optimal control

• RF propagation and signature modeling:

• Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics

• Antenna pattern estimation

• Estimation of bistatic RCS

Sensing:

• Sparse array processing, beamforming, direction finding, filtering and tracking

• Range-Doppler radar and synthetic aperture radar

• Signal classification and recognition

• Physical-layer communications:

• Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding

• LPX waveform design

• Multi-user detection

Requirements:

• Holds a BS degree and 10 years of experience, or MS and 7 years of experience, or a PhD in Computer Science, Computer Engineering, Electrical Engineering, or relevant field plus 5 years of experience

• Develops and applies advanced methods, theories, and R&D techniques from a variety of technical specialties for complex and difficult problems

• Independently executes responsibilities with minimal review or supervision

• Plans new projects and is project leader, or is technical lead on projects of substantial size, complexity, and importance to the organization. Defines assignments for less senior professionals and provides supervision

• Takes proactive action to anticipate, understand, and meet customer needs

• Speaks for BBN to external customers; customer relies on experience and performance

• Develops novel concepts that address challenging technical problems of concern to BBN’s customers

• Documents plans and scientific findings

• Position may require some amount of overnight travel

• Position requires the ability to obtain a government security clearance; existing TS preferred

• The nature of the work requires routine access to various closed spaces

Why us

Raytheon BBN is proud to offer a comprehensive total compensation package including a competitive 401k company match, a Retirement Contribution plan, performance-based incentive, and competitive benefits package. In addition to protecting your and your family’s health and well-being, we also offer important financial and family friendly benefits to meet your needs.

Our Work/Life benefits include – Paid Parental Leave – Adoption Assistance – Auto and Home Insurance – Child/Elder Back Up Care – College Coach – Retirement Planning Services – Flexible Work Arrangements - Legal Services – LifeResources – Employee Discount Program – Educational Assistance – Transportation Benefits – and Wellness Reward

Requires advanced to expert knowledge of work area typically obtained through advanced education combined with experience.

This position requires the eligibility to obtain a security clearance. Except in rare circumstances, only U.S. citizens are eligible for a security clearance.

The salary range for this role is 118,000 USD - 246,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function 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.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.