Overview
Remote
On Site
Full Time
Skills
ATL
Research and Development
Robotics
SSL
Spectrum
Data Engineering
Sensors
Prototyping
Antennas
JAM
Art
Estimating
Generative Artificial Intelligence (AI)
Acquisition
Electrical Engineering
Computer Engineering
Computer Science
Physics
Artificial Intelligence
Embedded Systems
Testing
DoD
Security Clearance
Algorithms
Software Development
Programming Languages
Python
C++
Rust
Java
MATLAB
Data Analysis
EDA
Data Visualization
Extract
Transform
Load
Deep Learning
PyTorch
TensorFlow
Keras
Machine Learning (ML)
DevSecOps
IT Management
Mentorship
Collaboration
Research
RF
Digital Signal Processing
Radio
ESM
Electronic Warfare
Resource Management
Signal Processing
Wireless Communication
Fusion
Innovation
SAFE
Boost
Telecommuting
Recruiting
Job Details
Job Description
Who we are:
The Advanced Technology Laboratories (ATL) is a Lockheed Martin applied research and development center. Aligned with the Corporation's Chief Technology Officer, we work to advance scientific discovery and technology transition in human systems, robotics and autonomy, spectrum systems, data analytics and more!
What we do:
Spectrum Systems Lab (SSL) Engineers are hardworking problem solvers with an ability to learn and think creatively! We combine diverse skillsets and backgrounds to deliver groundbreaking technology to our customers, community, and company. We support research and technology development for projects funded externally and internally helping advance the state-of-the-art for Defense and prepare our customers and Lockheed Martin to be ahead of ready.
What you'll do:
Are you a skilled AI/ML engineer with the flexibility to incorporate and apply cutting edge research into a variety of problems? As an engineer in our SSL team, you have the opportunity to design new algorithms and toolsets to address spectrum challenges, augment existing solutions with data-driven ML approaches, and integrate best practice ML Operations into an end-to-end architecture for our customers and stakeholders. We pride ourselves in the flexibility we give to our engineers to pursue research that is of interest to them and give opportunities for engineers to grow and learn about what others in the lab are doing.
Based on our current needs, your skills and the skills you wish to acquire, you could be tasked with any of the following:
Architecting and implementing data engineering pipelines in support of automated analysis of machine learning, sensor processing, and target tracking research prototypes over large data sets.
Designing, coding and testing of cognitive software and systems for digital and RF/analog advanced state-of-the-art receivers, transmitters, antennas, and jam and anti-jam systems.
Lead and/or support research projects to innovate and provide novel state of the art solutions in areas such as parameter estimation, reinforcement learning, and generative AI.
Assist in the acquisition of new business through proposing modern-day solutions to our customer's problems and advocating for the robustness, explainability, and generalizability of AI/ML solutions.
Basic Qualifications
PhD, MS, or BS from an accredited university in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related field with appropriate experience or course work
At least 5 years of experience in AI/ML research, software and/or embedded design, development and testing or related field.
Good team working and collaboration skills.
Ability to obtain a DoD Secret (TS Preferred) or higher clearance which requires ship. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Desired skills
Software/Algorithms
Expertise with software development in one or more of the following programming languages (Python, C++, Rust, Java, MATLAB)
Familiarity with data preprocessing, including experience with exploratory data analysis (EDA), data visualization tools, machine learning extract, transform, load (ETL) pipelines, and feature engineering.
Experience in implementing deep learning architectures using frameworks such as PyTorch, Tensorflow, Keras, etc.
Understanding of the ML lifecycle, including designing, selecting, tuning, and evaluating end-to-end experiments
Knowledge of modern DevSecOps tools and practices
Research
Experience communicating complex technical concepts to both technical and non-technical stakeholders
Providing technical leadership and mentorship across small teams
Collaboration with university partners and familiarity with academic research
General Domain Experience
Experience in the RF (Radio Frequency), DSP (Digital Signal Processing), and SDR (Software Defined Radio) domains
Awareness of electronic support measures (ESM), electronic warfare (EW) resource management, radar signal processing
Understanding of modern wireless communication techniques and protocols
Awareness of data fusion and multi-object tracking techniques
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Who we are:
The Advanced Technology Laboratories (ATL) is a Lockheed Martin applied research and development center. Aligned with the Corporation's Chief Technology Officer, we work to advance scientific discovery and technology transition in human systems, robotics and autonomy, spectrum systems, data analytics and more!
What we do:
Spectrum Systems Lab (SSL) Engineers are hardworking problem solvers with an ability to learn and think creatively! We combine diverse skillsets and backgrounds to deliver groundbreaking technology to our customers, community, and company. We support research and technology development for projects funded externally and internally helping advance the state-of-the-art for Defense and prepare our customers and Lockheed Martin to be ahead of ready.
What you'll do:
Are you a skilled AI/ML engineer with the flexibility to incorporate and apply cutting edge research into a variety of problems? As an engineer in our SSL team, you have the opportunity to design new algorithms and toolsets to address spectrum challenges, augment existing solutions with data-driven ML approaches, and integrate best practice ML Operations into an end-to-end architecture for our customers and stakeholders. We pride ourselves in the flexibility we give to our engineers to pursue research that is of interest to them and give opportunities for engineers to grow and learn about what others in the lab are doing.
Based on our current needs, your skills and the skills you wish to acquire, you could be tasked with any of the following:
Architecting and implementing data engineering pipelines in support of automated analysis of machine learning, sensor processing, and target tracking research prototypes over large data sets.
Designing, coding and testing of cognitive software and systems for digital and RF/analog advanced state-of-the-art receivers, transmitters, antennas, and jam and anti-jam systems.
Lead and/or support research projects to innovate and provide novel state of the art solutions in areas such as parameter estimation, reinforcement learning, and generative AI.
Assist in the acquisition of new business through proposing modern-day solutions to our customer's problems and advocating for the robustness, explainability, and generalizability of AI/ML solutions.
Basic Qualifications
PhD, MS, or BS from an accredited university in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related field with appropriate experience or course work
At least 5 years of experience in AI/ML research, software and/or embedded design, development and testing or related field.
Good team working and collaboration skills.
Ability to obtain a DoD Secret (TS Preferred) or higher clearance which requires ship. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Desired skills
Software/Algorithms
Expertise with software development in one or more of the following programming languages (Python, C++, Rust, Java, MATLAB)
Familiarity with data preprocessing, including experience with exploratory data analysis (EDA), data visualization tools, machine learning extract, transform, load (ETL) pipelines, and feature engineering.
Experience in implementing deep learning architectures using frameworks such as PyTorch, Tensorflow, Keras, etc.
Understanding of the ML lifecycle, including designing, selecting, tuning, and evaluating end-to-end experiments
Knowledge of modern DevSecOps tools and practices
Research
Experience communicating complex technical concepts to both technical and non-technical stakeholders
Providing technical leadership and mentorship across small teams
Collaboration with university partners and familiarity with academic research
General Domain Experience
Experience in the RF (Radio Frequency), DSP (Digital Signal Processing), and SDR (Software Defined Radio) domains
Awareness of electronic support measures (ESM), electronic warfare (EW) resource management, radar signal processing
Understanding of modern wireless communication techniques and protocols
Awareness of data fusion and multi-object tracking techniques
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.