Overview
Remote
On Site
USD 93,200.00 - 164,450.00 per year
Full Time
Skills
FAR
Artificial Intelligence
Billing
Research
Machine Learning Operations (ML Ops)
Strategic Thinking
Adaptability
Log Management
FOCUS
Kubernetes
Red Hat Enterprise Linux
Linux
Debian Linux
Unix
GitLab
Continuous Integration
Continuous Delivery
Jenkins
DoD
Security Clearance
OCI
Docker
Machine Learning (ML)
GPU Computing
Grafana
Dynatrace
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Testing
Scripting
C++
Java
Python
Bash
Communication
Collaboration
Conflict Resolution
Problem Solving
Management
Innovation
SAFE
Boost
Telecommuting
Recruiting
Training
Life Insurance
Job Details
Job Description
When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today's challenges to global security aren't just changing - they're accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean's depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a mid-career AI Software Engineer for classified deployments for machine learning workload environments and tooling.
Your Mission:
As a Classified MLOps Deployment Engineer, you will leverage your expertise in Kubernetes and experience deploying machine learning tools in various settings to drive several key initiatives. Your primary focus areas will include deploying tooling in disconnected environments, fostering relationships with classified systems developers, optimizing infrastructure as code and software bills of materials, and providing deployment expertise across the technology stack. Your responsibilities will include the following:
Identifying classified program model training and deployment pain points
Acting as a developer relations lead for classified environment users
Researching, understanding, and deploying third-party and in-house machine learning capabilities for use in classified and disconnected environments
Incorporating deployment lessons learned for improved deployment artifacts
Establishing recommended vision and objectives for MLOps platform disconnected environments support
As a mid-level engineer, you'll be a strong fit for this role if you have a solid track record of technical expertise and a growing ability to apply strategic thinking to complex problems. You're able to prioritize tasks, manage multiple projects, and collaborate effectively with internal stakeholders. You're also a motivated and adaptable individual with a proven ability to learn and take on new challenges, and strong communication skills to effectively work with others in a fast-paced and dynamic environment.
(Ideal candidate is located near a major LM site)
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!
#LMLAIC
Basic Qualifications
Kubernetes Experience, including distributions (OpenShift, Rancher, GKE)
Linux experience, including distributions (RHEL (Red Hat Enterprise Linux), Debian, UNIX, etc)
Experience with Pipeline Automation, such as ArgoCD, Tekton, GitLab CI/CD, Jenkins
Ability to obtain DoD Secret Clearance
Desired skills
Experience with Containers, including Open Container Initiative (OCI) and Docker
Knowledge of Machine Learning Architectures, including GPU Computing
Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
Familiarity with public cloud computing services, such as AWS, Google Cloud Platform, Azure
Experience with machine learing testing practices and model monitoring
Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Creative and resourceful when it comes to problem-solving
Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the engineering backlog
Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
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.
National Pay Statement
Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $93,200 - $164,450. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $107,300 - $185,840. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today's challenges to global security aren't just changing - they're accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean's depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a mid-career AI Software Engineer for classified deployments for machine learning workload environments and tooling.
Your Mission:
As a Classified MLOps Deployment Engineer, you will leverage your expertise in Kubernetes and experience deploying machine learning tools in various settings to drive several key initiatives. Your primary focus areas will include deploying tooling in disconnected environments, fostering relationships with classified systems developers, optimizing infrastructure as code and software bills of materials, and providing deployment expertise across the technology stack. Your responsibilities will include the following:
Identifying classified program model training and deployment pain points
Acting as a developer relations lead for classified environment users
Researching, understanding, and deploying third-party and in-house machine learning capabilities for use in classified and disconnected environments
Incorporating deployment lessons learned for improved deployment artifacts
Establishing recommended vision and objectives for MLOps platform disconnected environments support
As a mid-level engineer, you'll be a strong fit for this role if you have a solid track record of technical expertise and a growing ability to apply strategic thinking to complex problems. You're able to prioritize tasks, manage multiple projects, and collaborate effectively with internal stakeholders. You're also a motivated and adaptable individual with a proven ability to learn and take on new challenges, and strong communication skills to effectively work with others in a fast-paced and dynamic environment.
(Ideal candidate is located near a major LM site)
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!
#LMLAIC
Basic Qualifications
Kubernetes Experience, including distributions (OpenShift, Rancher, GKE)
Linux experience, including distributions (RHEL (Red Hat Enterprise Linux), Debian, UNIX, etc)
Experience with Pipeline Automation, such as ArgoCD, Tekton, GitLab CI/CD, Jenkins
Ability to obtain DoD Secret Clearance
Desired skills
Experience with Containers, including Open Container Initiative (OCI) and Docker
Knowledge of Machine Learning Architectures, including GPU Computing
Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
Familiarity with public cloud computing services, such as AWS, Google Cloud Platform, Azure
Experience with machine learing testing practices and model monitoring
Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Creative and resourceful when it comes to problem-solving
Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the engineering backlog
Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
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.
National Pay Statement
Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $93,200 - $164,450. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $107,300 - $185,840. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
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.