AI Engineer Sr (Mid-Career) - Infrastructure & Platform Ops / Remote

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), Data pipelines, GoLang, GPUs, Grafana, HBase, Kubernetes-K8s, Machine learning techniques, Python Programming, Rancher, Unix Operating system

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 Systems Engineer to support the AI Factory, an enterprise Artificial Intelligence and Machine Learning (AI/ML) platform.

Your Mission:

As the Infrastructure and Platform Operations Engineer to support the AI Factory, you will be embedded in the AI Factory team working alongside MLOps platform engineers, software engineers, product managers, and data scientists. You will focus on the stability and reliability of AI/ML computing resources, orchestration, automation, and services. Additionally, you will contribute to a broad range of projects across the enterprise to increase machine learning availability and value to Lockheed Martin. Your responsibilities will include the following:

• Building and maintaining complex computing environments designed to train, deploy, and operate Artificial Intelligence systems
• Addressing user needs and resolving system reliability and stability concerns
• Closely collaborating with other AI/ML Engineers, Data Scientists, and Data Engineering subject matter experts
• Closely collaborating with Central IT, Cybersecurity, and Engineering teams for on-premises, isolated, and cloud deployments of the platform
• Working with the vendors to advocate for Lockheed Martin’s needs for Machine Learning and Artificial Intelligence platforms

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.

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!

Our Commitment to Diversity and Inclusion:

We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking.

Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence. Learn more here: Global Diversity and Inclusion.

Further Information About This Opportunity:

This is fully remote position, but requires US citizenship due to system access.

Basic Qualifications:

• Kubernetes experience, including distributions (Openshift, Rancher, GKE)
• Linux experience, including distributions (RHEL (Red Hat Enterprise Linux), Debian, UNIX, etc)
• Experience with Open Container Initiative (OCI), such as runC, containerd, and CRI-O
• Familiarity with diverse IT principles, including Networking, Storage, Computing, Security, and Distributed Services
• Familiarity with Programming and Scripting, such as Python, Go, Bash
• Familiarity with computing design and operations
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• US Citizen is required due to system access

Desired Skills:

• Experience with DevSecOps software development practices
• Familiarity with Container Storage, including Container Storage Interfaces (CSI) and Persistent Volumes
• Familiarity with Pipeline and GitOps Automation, such as ArgoCD, Tekton, Gitlab CI/CD
• Familiarity with Kubernetes Automation, such as Helm or Kustomize
• Familiarity with Infrastructure Automation, such as Ansible or Terraform
• Experience with Collaboration Tools, such as Slack, Confluence, and Gitlab
• Knowledge of Server Room design, including server hardware, rack diagrams, power, and cooling requirements
• Knowledge of Monitoring and Performance, such as Prometheus, Grafana, and Thanos
• Knowledge of Container Security, such as Falco, Sysdig Secure, Aqua, or Anchore
• Knowledge of Image Registries, such as Quay or Harbor
• Knowledge of Storage, such as Ceph, NetApp, Object/AWS S3
• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
• Knowledge of AI/ML Orchestration tools, such as Kubeflow or OpenDataHub

Clearance Level: None

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: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

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

Pay Rate:

The annual base salary range for this position in most major metropolitan areas in California and New York is $103,100 - $194,300. 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.

Pay Rate:

The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Maryland, Washington or Washington DC is $89,600 - $171,800. 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.