E

EdgeRunner AI

Edge AI video analytics for traffic

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience building and deploying production software, including desktop applications and/or containerized services.
  • Experience packaging and distributing desktop software onto government-managed endpoints.
  • Experience deploying containerized applications into government systems and networks, such as Iron Bank, Platform One, or IL4/IL5/IL6 environments.
  • Familiarity with large language models and agentic workflows, including how they are served, integrated with tools, and evaluated in real-world use.
  • Experience developing and deploying software compliant with the Department of Defense Risk Management Framework.
  • Experience interfacing with government-owned IT systems, such as data platforms, identity and access management providers, security information and event management systems, and cross-domain solutions.
  • Experience working with government IT and program executive offices to scope technical requirements, architecture, and integrations.
  • Experience working with end users to scope user requirements, conduct user testing, and gain product feedback.
  • Excellent communication and teamwork skills.
  • Must be eligible to receive a Top Secret/Sensitive Compartmented Information clearance.
  • U.S. citizenship is required to obtain a security clearance.

Responsibilities

  • Serve as a field technical lead for key customer engagements and projects.
  • Work closely with core engineering, research, and business development teams to directly support customers critical to national security.
  • Own the prototyping, development, and deployment of software solutions that support specific customer needs.
  • Travel to meet with customers on-site for prototyping, scoping, and implementing new solutions.
  • Work with engineers, researchers, product leaders, and former military officers to build AI solutions that support customer needs.

Desired Qualifications

  • Experience shipping AI-enabled desktop applications that run locally on edge devices, such as laptops and field hardware, in limited-connectivity or offline settings.
  • Experience deploying GPU-enabled containers, such as with NVIDIA Container Toolkit or GPU Operator.
  • Track record of taking initiative, translating business objectives into technical solutions, interacting with customers, and working comfortably amid ambiguity.

About the Company

EdgeRunner AI

Edge AI video analytics for traffic

EdgeRunner AI builds AI-powered video analytics for smart cities and transportation. It converts existing traffic cameras into real-time sensors that collect data such as near-miss events, traffic volumes, vehicle classifications (cars, pedestrians, cyclists), and speeds. The Adar platform runs on edge devices at the camera site, avoiding heavy cloud processing and reducing latency and costs, while still providing actionable insights. The company differentiates itself by using edge computing that leverages existing infrastructure to deliver data-as-a-service to municipalities and traffic-management/urban-planning firms. Its goal is to enable safer roads and smoother urban mobility through data-driven decisions and proactive infrastructure improvements.

Company size
11-50
Company stage
Series A
Total funding
$17.5M
Headquarters
Bellevue, WA
Founded
2024

Recently Posted Jobs

Explore more opportunities at EdgeRunner AI

See more jobs