Standard Job Description
You will be an Algorithm Engineer on the Lockheed Martin Aeronautics Sensor Fusion team, working at the forefront of sensor fusion, perception, and autonomy for fighter and unmanned platforms. In this role you will have a significant impact on shaping the future of Sensor Fusion across Aeronautics, defining the vision for our next‑generation platforms, and integrating Lockheed Martin’s most advanced technologies. If you thrive on pushing the envelope, enjoy tackling difficult algorithmic challenges, and are passionate about turning novel sensor concepts into flight‑ready software, this position on our Emerging‑Technology Sensor Fusion team is for you.
As an engineer working in sensor fusion you will possess a combination of skills from various disciplines:
Programming Fundamentals
Programming Languages: Proficiency in languages such as Python, C++, C#, or MATLAB.
Software Frameworks: Familiarity with software frameworks, such as NumPy, SciPy, or TensorFlow, MATLAB, MATLAB Object Oriented, for numerical computations.
Simulation Tools: Knowledge of simulation tools, such as Simulink or MATLAB, for modeling and testing sensor fusion systems.
Mathematical Foundations
Linear Algebra: Understanding of vector spaces, linear transformations, and matrix operations.
Probability Theory and Statistics: Familiarity with probability distributions, Bayes' theorem, and stochastic processes. Knowledge of statistical inference, estimation, and hypothesis testing.
Advanced topics: Understanding of numerical optimization, convex optimization, non-linear optimization, machine learning, and/or mathematical methods.
Signal Processing and Filtering
Signal Processing: Understanding of signal processing techniques, such as filtering, convolution, and Fourier analysis.
Kalman Filter: Familiarity with the Kalman filter algorithm, its variants (e.g., Extended Kalman Filter, Unscented Kalman Filter), and applications.
Particle Filter: Knowledge of particle filter algorithms and their applications in non-linear, non-Gaussian systems.
Tracking
Embedded Development: Acute proficiency in Programming Fundamentals applied to embedded systems.
Sensor Modeling: Understanding of sensor characteristics, noise models, calibration techniques, Signal Processing and Filtering, and Mathematical Foundations.
Data Association: Familiarity with data association techniques, such as nearest neighbor, joint probabilistic data association, and multiple hypothesis tracking.
State Estimation: Knowledge of state estimation algorithms, including Kalman filters, particle filters, and Bayesian estimation methods.
Sensor Integration and Management
Resource Allocation: Experience tasking, prioritizing, and scheduling of sensors and maximizing information value, system needs, or target tracking accuracy with a deep understanding of Programming Fundamentals.
Sensor Integration: Experience with integrating sensors like LIDAR, RADAR, or cameras and offboard sources.
Basic Qualifications
-- Bachelor’s or Master's degree in Computer Science, Electrical Engineering, Mathematics, Aerospace Engineering, Mechanical Engineering or a related field
-- Experience with C++, C#, Rust, MATLAB, and/or Python
-- Real Time Operating System (RTOS) experience – (Windows & Linux)
-- Strong problem-solving, communication, and collaboration skills to work effectively with cross-functional teams
Desired Skills
-- Project experience in sensor fusion sub-domain(s) (e.g. state estimation, identification, correlation, sensor tasking) or coursework across domains including signal processing, artificial intelligence, autonomy/perception, artificial intelligence, navigation, or control systems in a sensor/systems application.
-- Experience implementing Artificial Intelligence, Machine Learning, or statistical algorithms in real time operating systems
-- Strong understanding of Object Oriented Programming (OOP)/Object Oriented Design (OOD)
-- Strong mathematical foundation in Linear Algebra, Probability Theory, and Statistics
Pay Information
Full-Time Salary Range: $67000.00 - $124400.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.