Senior Embedded Systems Engineer

Loadsmart•Chicago / Remote, IL

1d•Remote

About The Position

Loadsmart is seeking a Senior Embedded Systems Engineer to join their SmartGate team. SmartGate is a Physical AI platform for warehouses and distribution centers, utilizing computer vision systems deployed at customer gates to automatically identify trucks, capture license plates and DOT numbers, automate check-ins, and feed real-time data into their dock and yard management platform. The technology operates on NVIDIA Jetson edge compute devices with AXIS IP cameras, housed in self-contained outdoor enclosures with LTE connectivity and power systems designed for reliability in all conditions, including solar power. This role is fast-paced and deadline-driven, requiring the engineer to own the full hardware-software integration layer, including the edge software stack, compatibility validation, fleet reliability, and remote troubleshooting. Physical installation is handled by contractors.

Requirements

Linux: 2+ years of production experience with embedded or server-side Linux, including service configuration, log analysis, and process-level debugging.
Scripting: 2+ years writing Python and/or Bash for production use, including diagnostic tools and operational automation in Linux or embedded environments.
Networking: working knowledge of IP networking (subnets, VLANs, DNS, routing, firewalls) and cellular/LTE; able to independently isolate and resolve edge-to-cloud connectivity failures.
Hardware Integration: production experience integrating edge compute platforms (NVIDIA Jetson or comparable), IP cameras, and supporting hardware into validated, production-ready systems; working knowledge of DC power constraints and solar-capable configurations.
IP Camera Systems: experience configuring, testing, and troubleshooting IP cameras in production environments; familiarity with camera-side compute capabilities and the distinction between on-camera and edge-device workloads.
Video Streaming & Encoding: experience with real-time video transport protocols such as RTSP and SRT, including configuring, and troubleshooting. Able to diagnose streaming issues and instability across edge and cloud systems. Comfortable working across the full video pipeline, from camera output through network transport to decoding and visualization.
Video and Image Encoding Fundamentals: Understanding of modern video codecs such as H.265/HEVC and their trade-offs in compression efficiency, bandwidth usage, latency, and compute requirements. Familiar with key encoding parameters (bitrate, GOP structure, profiles, presets) and how they impact image quality, artifacting, and system performance. Strong grasp of image fundamentals including resolution, pixel density, compression formats, and file size implications, with the ability to make informed decisions balancing visual quality, storage, and transmission constraints in edge-based computer vision systems.
Remote Troubleshooting and Fleet Management: track record of diagnosing and resolving hardware and software failures without physical device access; experience with Ansible or comparable tools for managing remote device fleets.
Communication: ability to document technical findings clearly and coordinate with contractors, engineering teammates, and customer contacts.
Applicants must be currently authorized to work in the United States on a full-time basis. Loadsmart will not sponsor applicants for work visas.

Nice To Haves

Familiarity with edge AI inference pipelines such as NVIDIA DeepStream, Savant, TensorRT; model training is not required.
Experience with AXIS camera systems and the AXIS Camera Application Platform (ACAP).
Experience with Docker in embedded or edge computing environments.
Background in logistics, warehousing, or industrial technology is a plus.
Experience authoring operational documentation, kit validation procedures, or runbooks in an environment where processes are being built from scratch.

Responsibilities

Maintain end-to-end system integrity across the SmartGate hardware-software stack: AXIS IP cameras, NVIDIA Jetson edge compute devices, Savant video pipeline, LTE modems, routing hardware, outdoor enclosures, and power systems.
Test new hardware generations, firmware versions, and software releases against the production stack before fleet-wide rollout.
Build, configure, and validate complete hardware kits ahead of customer deployments.
Verify power budget compliance for solar-capable configurations.
Coordinate with installation contractors on setup expectations and post-install validation.
Deploy and update SmartGate software across 30+ edge and cloud gates using the Ansible-based Fleet Management system.
Manage hardware inventory and prepare Jetson and camera kits for shipment to new sites.
Remotely diagnose and resolve failures across the deployed fleet, including Savant pipeline lockups, camera connectivity issues, and networking misconfigurations.
Perform on-site visits when remote resolution is not achievable.
Develop and maintain commissioning runbooks and validation procedures.
Collaborate with the Computer Vision team on hardware-side model validation and root cause analysis for missed or incorrect gate events.
Test and benchmark which SmartGate pipeline workloads can run directly on AXIS camera hardware versus the Jetson.