Sr. Software Engineer, AI Infrastructure

Responsibilities

• Manage GPU and CPU infrastructure deployments to Top Secret data centers.
• Provide support for GPU-as-a-service platforms on bare-metal hardware and virtualized environments.
• Design, validate, and productize AI cluster solutions at 100,000-plus GPU scale.
• Develop automation for deploying and managing on-premise Kubernetes and AI clusters and operating systems.
• Deploy and manage databases, monitoring systems, distributed storage, and other core infrastructure.
• Collaborate with AI engineers to build scalable, operable, and maintainable products.
• Manage the full service lifecycle from design and deployment through operation and refinement.
• Improve monitoring and alerting to support high availability.
• Identify infrastructure improvements and develop solutions that increase system availability.
• Mentor and train junior engineers and lead the team toward technical excellence.

Requirements

• Bachelor’s degree in computer science, information systems/IT, or engineering plus at least five years of professional Linux experience, or at least seven years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree.
• At least five years of Kubernetes experience and at least five years of Linux operating-system management experience.
• Experience with Terraform, Ansible, or comparable infrastructure tools.
• Experience with OCI containers, Kubernetes, or other containerization technologies.
• Scripting experience with Bash, Python, or similar languages and development experience with Python, C++, or Go.
• Preferred qualifications include five or more years of Python and Python-based development, Kubernetes cluster management, Linux boot and systems configuration, testing and continuous integration, build and deployment technologies such as Bazel and Makefiles, performance optimization, distributed databases, TCP/IP networking, cloud virtualization, and NVIDIA GPU deployment stacks including Blackwell and Rubin.
• Preferred experience includes automatically managing thousands of servers and active Top Secret, Top Secret SCI, or DOE Level Q clearance.
• Must be willing to work extended hours and weekends and travel domestically and globally as needed.
• Must successfully obtain and maintain a Top Secret security clearance as a condition of employment.

Benefits

• Base salary range is $165,000 to $265,000 annually, with potential long-term incentives, discretionary bonuses, and employee stock purchase plan participation.
• Benefits include medical, vision, dental, 401(k), disability and life insurance, paid parental leave, discounts, approximately three weeks of paid vacation, at least 10 paid holidays, and paid sick leave.
• Employees with an active clearance may receive a 10% differential up to an additional $20,000 annually after being briefed into a classified program.
• The role may require extended hours, weekend work, and future domestic and global travel.
• Employment is subject to U.S. ITAR eligibility requirements and required security-clearance maintenance.