On-Site Systems Engineer

Building advanced surveillance and player tracking technology specifically for casinos
Las Vegas, NV, USA
$80,000 - $100,000
DevOps
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS

Description For On-Site Systems Engineer

EagleSight.ai is at the forefront of developing advanced surveillance and player tracking technology specifically designed for the casino industry. We are currently seeking an On-Site Systems Engineer to join our innovative team.

The role involves being the crucial bridge between our technology and casino operations, focusing on the deployment and maintenance of sophisticated surveillance infrastructure. You'll be responsible for managing on-premise infrastructure, troubleshooting complex technical issues, and ensuring smooth operation of mission-critical systems that leverage AI and computer vision technologies.

As our On-Site Systems Engineer, you'll work directly with casino clients, acting as the primary point of contact for technical matters. This position requires a unique blend of technical expertise in infrastructure management, edge computing, NVIDIA SDK applications, and camera-based AI solutions, combined with strong customer-facing skills.

The ideal candidate will thrive in a fast-paced, mission-critical environment where technical excellence meets customer service. You'll be working with cutting-edge technology in the exciting intersection of AI, surveillance, and gaming industry compliance. This role offers the opportunity to shape the future of casino surveillance technology while working with a dynamic team dedicated to innovation.

If you're passionate about infrastructure, AI technology, and delivering exceptional customer service, this role offers an exciting opportunity to make a significant impact in the gaming industry. The position comes with competitive compensation ranging from $80,000 to $100,000 annually, reflecting the technical expertise and responsibility required for this critical role.

Last updated 2 months ago

Responsibilities For On-Site Systems Engineer

  • Oversee the deployment, installation, and configuration of on-premise infrastructure to support casino operations
  • Diagnose and resolve technical issues related to the infrastructure, hardware, and software
  • Act as the main point of contact for customers and collaborate to address technical needs and concerns
  • Configure, manage, and troubleshoot edge devices essential for operations
  • Utilize NVIDIA SDKs for relevant applications and ensure proper integration with on-site systems
  • Work with camera-based systems, including streaming technologies and vision AI

Requirements For On-Site Systems Engineer

Linux
  • Strong background in setting up, installing, and managing physical infrastructure
  • Hands-on experience with edge devices and their integration into larger systems
  • Experience with NVIDIA SDKs, including applications in AI, GPU-accelerated workloads, and streaming solutions
  • Experience with camera-based solutions, video streaming technologies, and vision AI
  • Strong problem-solving abilities with a customer-focused approach

Interested in this job?

Jobs Related To EagleSight.ai On-Site Systems Engineer

DevOps Engineer (Expression of Interest)

DevOps Engineer position at EagleSight.ai, focusing on managing on-premise deployments for casino surveillance systems, requiring 3+ years of experience in DevOps and containerization.

Technology Engineer

Technology Engineer position at Tenable focusing on infrastructure management, security implementation, and cloud technologies in a hybrid work environment.

Chief Engineer

Chief Engineer position at Collective Retreats maintaining luxury outdoor retreat facilities and ensuring exceptional guest experiences.

DevOps Engineer

DevOps Engineer position at Xayn AG, focusing on cloud infrastructure, automation, and supporting AI-driven legal tech solutions.

DevOps Engineer (Grafana monitoring tools)

Remote DevOps Engineer position at Staff4Me focusing on Grafana monitoring tools implementation, infrastructure management, and system optimization.