AI/ML Hardware Engineer (junior career)

Lockheed Martin•Shelton, CT

5d•$79,700 - $158,815•Onsite

About The Position

Bringing together people who use their passion for purposeful innovation…Your Mission is Ours. At Lockheed Martin we keep people safe and solve the world's most complex challenges. We place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Our people are some of the greatest minds in the industry and they make Lockheed Martin a great place to work. 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 healthy, fulfilling life in and outside of work. Your Mission: The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy AI/ML Hardware Engineer to support enterprise Machine Learning and Artificial Intelligence systems. In this role, you will be embedded in the AI Factory team working alongside data engineers, AI/ML engineers, product managers, and data scientists. The selected candidate will focus on delivery of AI/ML hardware, edge infrastructure, development equipment, rapid prototyping, and computing systems. Additionally, they will contribute to a broad range of projects across the enterprise to increase machine learning availability and value to Lockheed Martin. 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. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you 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. The selected candidate will work on-site in Shelton, CT.

Requirements

Experience in installing, operating, and maintaining hardware environments, including Servers, Networking, Storage, and Small Board Computers
Experience in deploying and developing on Low-SWaP (size, weight, and power) systems
Familiarity with diverse IT principles, including Networking, Storage, Computing, Security, and Distributed Services
Familiarity with Programming and Scripting, such as Python, Go, Bash

Nice To Haves

Familiarity of development labs, including server hardware, networking, and security
Knowledge of AI/ML relevant hardware, such as GPUs, FPGAs, IoT devices, and Small Board Computers
Familiarity with basic electronics and assembly
Familiarity with Infrastructure Automation, such as Ansible or Terraform
Familiarity with Kubernetes and container orchestration
Familiarity with OCI runtimes, such as containerd, CRI-O, and Docker
Familiarity with Collaboration Tools, such as Slack, Confluence, and Gitlab
Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC), and Distributed Training

Responsibilities

Maintain complex computing environments designed to train, deploy, and operate artificial intelligence systems
Implement and evaluate novel AI/ML hardware and architectures
Develop edge application platforms and fleet management
Work closely with other AI/ML engineers, data scientists, and data engineers to develop hardware solutions
Work closely with facilities, central IT, cybersecurity, and network teams to secure edge platforms
Work with the vendors to advocate for Lockheed Martin's needs for AI/ML platforms
Ensure that user and technical issues are promptly prioritized and resolved
Assist teams in identifying edge platforms to meet their program needs
Stay up-to-date with emerging AI technologies and trends, applying this knowledge to improve AI Factory toolsets and systems