Build and maintain robust cloud infrastructure on Oracle Cloud Infrastructure (OCI) as the backbone for AI/ML model testing and edge emulation environments.
Build open source-based solutions that enable the collection of performance metrics, including CPU, GPU, and LLM metrics, into an Oracle Autonomous Database.
Benchmark models engineered for edge deployment, with simulated size/weight/power (SWaP) configurations.
Implement MLOps pipelines enabling testing of models against multiple simulated edge devices.
Operationalize the parameterization of designated edge systems to characterize compute, storage, SWaP, networking, and mission constraints.
Design, stand up, and maintain a full edge-system emulation environment on OCI, enabling model testing, profiling, and automated deployment optimization.
Define performance benchmarks and evaluate model behavior under contested and low-bandwidth edge conditions.
Implement integration of Git to check out models for testing.
Enhance and manage an emulated edge system, parameters, and performance metrics from testing for external system query and model tuning.
Support secure data ingest, cross-cloud orchestration, and API-based interoperability across Oracle Cloud, AWS, and Army systems.
Apply working knowledge of DoD security frameworks, enclave boundaries, and cross-domain workflows to ensure compliant, secure architectures.
Coordinate with industry partners to ensure alignment with mission objectives, technical baselines, and security requirements.
Provide technical mentorship to other team members, system developers, data engineers, and system integrators supporting the program.
Requirements
Must be a US Citizen with a minimum of a Tier 3 Secret clearance
Bachelor's degree and/or equivalent experience
12 years of work experience with 8+ years of hands-on experience in distributed systems or edge computing
Proficiency in Linux system administration and operations in DoD or defense environments
Strong working knowledge of DoD programs, security requirements, and defense IT environments, including exposure to database management, Oracle APEX, and secure architecture design
Experience with database design, management, and API integration
Strong expertise in Python, deep learning frameworks (PyTorch, TensorFlow), and MLOps tooling
Deep knowledge of edge compute architectures, SWaP-constrained systems, and model compression/optimization techniques (quantization, pruning, distillation)
Familiarity with tactical edge data patterns, ISR sensor ingest, and real-time decision models
Experience designing or running emulation/simulation environments for edge or embedded systems
Ability to work with government stakeholders in a highly collaborative environment
Tech Stack
AWS
Cloud
Distributed Systems
Linux
Open Source
Oracle
Python
PyTorch
Tensorflow
Benefits
Comprehensive Health, Dental, and Vision plans
Premier 401k retirement plan with corporate matching and a 529 college saving plan
Tax-advantaged Health Savings Account and Dependent Care Flexible Spending Account options
Legal Resources
Generous work/life balance opportunities supported by a PTO bank, paid holidays, leave programs and additional flex time off
Employee referral program
Employee recognition, gift and reward program
Tuition reimbursement for continuing education
Remote or hybrid work options
Engaging company events such as team building activities, annual awards and kick-off parties
Employee Resource Groups such as our Values & Women’s Leadership Committees – Focusing on charitable and volunteering events to give back to our community, creating an inclusive environment for all, and fun employee activities
Health and wellness-focused activities
Relaxation Spaces
In-office gourmet coffee, tea, fresh fruit and healthy snacks
Corporate GREEN approach – tracking energy consumption for reduction and purchasing only environmentally friendly products for our offices