A/AI Machine Learning Engineering Sr - E3

Lockheed Martin Corporation; Littleton (CO); On-site; USD 110,000 - 205,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Flexible work arrangements

401(k) match

Paid time off

Job summary

Lockheed Martin Corporation in Colorado is seeking an experienced engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems across the full development lifecycle, from requirements through testing, including research in select programs.

You will implement algorithms for perception, planning, and control, translate requirements into production code, review test outcomes, and develop human-machine interfaces while ensuring security, field-test readiness, and

Qualifications

• Proficiency in UML and/or SysML modeling standards, diagrams, and methodologies
• Hands-on experience with modeling tools such as Enterprise Architect and/or Cameo (or equivalent MBE tools)
• Familiarity with network technologies including 4G, 5G, and tactical mesh radio systems
• Practical experience with ATAK (Android Tactical Assault Kit) and TAK Server environments
• Knowledge of current state-of-the-art AI and autonomy research trends and applications
• Comfortable with technical interview and assessment technologies (evaluation platforms, testing tools, or interview processes)
• Willingness to support field test event at remote locations
• U.S. citizenship required for security clearance eligibility

Responsibilities

• Develops, integrates, and deploys autonomy and AI algorithms for mission systems across the development lifecycle.
• Translates requirements into production code for LM products and platforms.
• Reviews test outcomes, troubleshoots, and debugs issues.
• Develops human-machine interface scenarios and documents interface requirements.

Skills

UML/SysML modeling

Modeling tools

4G/5G networking

ATAK/TAK Server

AI/autonomy research

Technical interview tools

Field test support

U.S. citizenship

Education

Master’s/PhD in AI/autonomy

Tools

Enterprise Architect

Cameo

Job description

Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

Standard Job Description
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications

• Proficiency in UML and/or Sysml modeling standards, diagrams, and methodologies
• Hands-on experience with modeling tools such as Enterprise Architect and/or Cameo (or equivalent MBE tools)
• Familiarity with network technologies including 4G, 5G, and tactical mesh radio systems
• Practical experience with ATAK (Android Tactical Assault Kit) and TAK Server environments
• Knowledge of current state-of-the-art AI and autonomy research trends and applications
• Comfortable with technical interview and assessment technologies (evaluation platforms, testing tools, or interview processes)
• Willingness to support field test event at remote locations
• MUST BE A U.S. CITIZEN - The selected candidate must be able to obtain a company-sponsored secretclearance.

Desired Skills

• Experience working with government labs (e.g., ONR, AFRL, DARPA)
• Proposal and technical writing experience
• Master’s or PhD in an AI/autonomy-related field

Pay Information
Full-Time Salary Range: $110300.00 - $204900.00
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.