Edge Vision Systems Engineer

Terminal Industries • Austin, TX

2d

About The Position

Our world class vision engineering team has built an engine that can process the movement of trucks and containers in real-time. It’s now time to unlock the potential of that engine by building SaaS applications that leverage the vision engine to transform the logistics industry.
As an Edge Vision Systems Engineer at Terminal, you will design and deploy edge-based computer vision platforms that combine embedded Linux software, GPU inference hardware, network cameras, and connectivity infrastructure. You will own the full stack from prototype through production — building reliable edge systems on Jetson-class hardware that ingest video from network cameras and power downstream computer vision pipelines.
This is a primarily software-focused role, but success requires strong practical understanding of hardware systems and real-world deployment constraints. The work spans embedded Linux development, device provisioning, networking integration, power and thermal considerations, and prototype hardware integration. You will work on early prototypes through deployment-ready systems and collaborate with engineering teams and site implementation teams.

Requirements

• Strong embedded Linux development experience.
• Python software development for production system services.
• Linux system services (systemd) design and management.
• Solid networking fundamentals and troubleshooting ability.
• RTSP / network video familiarity.
• Hands-on hardware system integration experience.
• Track record debugging real-world, multi-layer system failures.
• Years of experience are flexible for exceptional candidates with highly relevant domain expertise.

Nice To Haves

• NVIDIA Jetson platforms and CUDA / TensorRT.
• GStreamer pipelines and GPU video decoding.
• Device provisioning systems and OTA update infrastructure.
• Edge observability, telemetry, and cloud integration (S3, IoT, streaming).
• Background in robotics, drone platforms, autonomous vehicle perception, industrial inspection, security camera analytics, or edge AI startups.

Responsibilities

• Design and maintain software running on embedded Linux edge devices including Python-based system services, device provisioning and configuration, systemd services, Docker container workloads, device image builds, and OTA update mechanisms (e.g., Yocto-based images).
• Integrate and troubleshoot camera systems including RTSP network cameras, video streaming and decoding, video transport issues, and hardware camera evaluation.
• Integrate and validate hardware systems including NVIDIA Jetson devices, PoE network cameras, DC power systems, edge enclosures, and thermal management solutions. The focus is on hardware integration rather than electronics design.
• Support connectivity for edge systems including Linux networking configuration, VPN connectivity (e.g., Tailscale), cellular routers (LTE / 5G), and diagnosing bandwidth and connectivity issues.
• Build prototype devices, execute hardware bring-up, field testing, and deployment troubleshooting. Some travel may be required for prototype validation.
• Collaborate with engineering teams and site implementation teams to ensure systems are reliable, scalable, and deployment-ready.

Benefits

• Joining the Terminal team means being part of a dynamic, innovative environment where your work directly impacts the future of logistics and the global supply chain.
• You will work closely with a team of experts passionate about operational excellence and technological innovation.
• We offer competitive salaries, a comprehensive benefits package, and opportunities for professional growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed