Description:By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the worlds 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 em
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Software Engineer - Early Career

Lockheed Martin • 
Hill AFB, Utah, United States
Position Type: Permanent
Job Description:

Description:By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the worlds 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 development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a health, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.

Your Mission is Ours.

Are you looking for an exciting career at one of the top Aerospace and Defense Companies? A fulfilling position that challenges your mind, grows your skills, and contributes to our Nation’s most critical missions is right in front of you! At Lockheed Martin Space, we advance the frontiers of science, help militaries protect what matters most, and solve problems that others think are impossible.

Our LM Space Command and Control (C2) team at Hill AFB, UT has a need for a software engineer who can help innovate, automate, and visualize next-generation satellite and ground C2 systems. The Software Engineer will design, develop, document, test, and debug software on real-world and prototype systems.

This position is very collaborative, working across Lockheed Martin with products supporting all-domain and advanced technology teams driving the state-of-the-art in industry. Familiarity with database, networks, or information systems is desired in order to efficiently integrate these capabilities into rapidly-fieldable platforms. Experience with user interface and 3D graphics visualization tools is also helpful.
- Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
- Ability to obtain and maintain a Secret Clearance required for this role.
Basic Qualifications:
• Cross-team, collaborative communications experience
• Bachelor of Science degree in Computer Science, Computer Engineering, Computer Systems, Software Engineering, Artificial Intelligence Machine Learning, Electrical Engineering, or related degree
• This position requires the selected candidate to be a US Citizen
• Ability to obtain and maintain a Secret Level clearance
Desired Skills:
• Desire to work on future capabilities with rapid prototyping and demonstration
• Database management experience
• Kubernetes deployment experience
• Network design experience
• Modeling and Simulation experience
• Reinforcement Learning control systems experience
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: 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 Schedules: 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.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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 worlds 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.
Experience Level: 4 yr and up College
Business Unit: SPACE
Relocation Available: Possible
Career Area: Software Engineering
Type: Full-Time
Shift: First

• Desire to work on future capabilities with rapid prototyping and demonstration
• Database management experience
• Kubernetes deployment experience
• Network design experience
• Modeling and Simulation experience
• Reinforcement Learning control systems experience
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