Expert Systems Engineer

Description

The team builds cross-cutting solutions that combine and tune varied data sources, methods and technologies for enterprise systems that support artificial intelligence, machine learning and high-performance computing.

You will turn academic research and proven commercial practice into sustainable analytic workflows, adopt new capabilities quickly, and build tools that non-technical users can operate.

The work helps teams make sense of complex data, spot links, forecast outcomes and produce actionable intelligence for defense customers.

The company is an established business with a long history of winning government work and a focus on national security missions.

Responsibilities

• Join a multidisciplinary team that tackles operational problems in data analytics and mission support.
• Build, run and maintain high-performance computing environments for AI and machine learning workloads.
• Tune server, GPU and supercomputing setups for efficiency, scale, reliability and speed.
• Design networking that handles high data throughput and distributed workloads.
• Set up and manage storage so data can be accessed and retrieved reliably and efficiently.
• Work with data scientists and engineers to move AI and machine learning models into production.
• Watch system performance, find and fix bottlenecks, and suggest ways to improve.
• Assess new developments in AI, machine learning and high-performance computing and bring useful ones into enterprise systems.

Requirements

• Hold an active Top Secret clearance with eligibility for Sensitive Compartmented Information (SCI) access.
• Have either a bachelor's degree in computer science, electrical engineering or a related field plus at least 10 years of professional experience, or at least 15 years of progressive systems engineering work managing IT infrastructure and architecture for the Department of War (DoW) or Intelligence Community (IC).
• Show demonstrated systems engineering experience, with a focus on optimizing AI and machine learning systems.
• Bring strong knowledge of server, storage and supercomputing architectures.
• Be skilled in networking protocols and high-performance computing environments.
• Have experience optimizing GPUs and running parallel processing.
• Be proficient in configuring and managing storage.
• Be familiar with AI and machine learning frameworks and libraries such as TensorFlow and PyTorch.
• Solve problems well and pay close attention to detail.
• Communicate clearly in writing and speech and collaborate effectively.
• Be able to obtain and maintain the certification required under DoD 8140.
• Desired: a master's degree in computer science, electrical engineering or a related field.
• Desired: experience with cloud platforms such as AWS, Microsoft Azure or Google Cloud.
• Desired: knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Desired: experience with Git version control.
• Desired: strong knowledge of GIS software and tools such as ArcGIS, QGIS and GeoServer.
• Desired: experience with geospatial data formats including Shapefile, GeoJSON and KML.
• Desired: familiarity with web mapping technologies such as Leaflet and OpenLayers.

Conditions

This is a full-time, regular position requiring up to 10% local travel.

A Top Secret clearance with SCI eligibility is required to start.

Salary depends on several factors, including location, Federal Government contract labor categories and wage rates, relevant experience, specific skills, education and certifications.

The proposed salary range is $108,900 - $239,500.

The company offers flexibility so employees can balance strong work with their personal lives.

Benefits

• Competitive pay along with healthcare, wellness, financial, retirement, family support, continuing education and time off benefits.
• A flexible time off policy that lets you take the time you need.
• Access to learning resources and development opportunities.