Jobs
AI Research Engineer (Junior career, Hybrid, Grand Prairie, Secret) Grand Prairie, Texas

AI Research Engineer (Junior career, Hybrid, Grand Prairie, Secret) Grand Prairie, Texas
grand prairie
·
On-site
·
Full-time
·
2w ago
Description:Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry.
What You Will Be Doing:
• Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers
• Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test
• Participating in a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning to production
• Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Developing code to solve complex problems and field innovative solutions
• Assuming technical lead responsibilities and mentor junior engineers
What’s In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin’s comprehensive benefits package here.
Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you!
Who You Are:
You are a highly motivated and experienced individual with a strong background in software engineering and computer science. You have:
• A strong foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Experience with software development and deployment
• Excellent self-motivation, strong work ethic, time management, and interpersonal skills
• The ability to work effectively in a team environment and assume technical lead responsibilities
• A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry
#LMLAIC
Basic Qualifications:
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Experience with an interpreted language; python
• Experience with a deep learning library; PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or openCV
• Secret Clearance
Desired Skills:
• Master’s Degree in Engineering, Computer Science, or other related discipline.
• Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD)
• Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS
• Experience with at least one of the following communication protocols; REST or gRPC
• Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives
• Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows
• Experience developing microservices and microservice architectures
• Experience building and deploying software for defense mission systems
• Experience with real-time embedded software engineering
• Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)
• Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)
• Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)
• Experience with high-performance computing
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Experience leading other engineers or small teams
• Familiarity with transitioning prototype software to production
• Top Secret // SCI Clearance
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 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.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: Yes
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
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About Lockheed Martin

Lockheed Martin
PublicYour mission is ours.
10,001+
Employees
North Bethesda
Headquarters
Reviews
3.9
33 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
4.2
Career
3.9
Management
3.3
75%
Recommend to a Friend
Pros
Good work-life balance and flexible environment
Interesting projects and challenges
Competitive compensation and benefits
Cons
Some organizational bureaucracy
Room for improvement in processes
Internal communication could improve
Salary Ranges
6,751 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist E1
0 reports
$83,068
total / year
Base
-
Stock
-
Bonus
-
$70,608
$95,528
Interview Experience
9 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Experience
Positive 11%
Neutral 78%
Negative 11%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Security Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Security Clearance
Coding/Algorithm
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