Senior Embedded Systems Engineer

ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY?
Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)!
We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less.
With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork.

We are looking for an Embedded Systems Engineer to join our SmartGate team. SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers — computer vision systems deployed at customer gates that automatically identify trucks, capture license plates and DOT numbers, automate check-ins, and feed real-time data into Opendock, our dock and yard management platform. The technology runs on NVIDIA Jetson edge compute devices paired with AXIS IP cameras, packaged in self-contained outdoor enclosures with LTE connectivity and power systems designed to operate reliably in all conditions, including solar-powered installations. This is a fast-paced, deadline-driven role: this engineer owns the full hardware-software integration layer, including the edge software stack, compatibility validation, fleet reliability, and remote troubleshooting. Physical installation at customer sites is performed by contractors.

DEPARTMENT: Engineering

LOCATION: United States (Remote)

WHAT YOU GET TO DO:

• 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; AXIS cameras include the ARTPEC-8 chip with an onboard AI inference engine (Larod) and support custom applications via the AXIS Camera Application Platform (ACAP).

REQUIRED QUALIFICATIONS:

• Linux: 2+ years of production experience with embedded or server-side Linux, including service configuration, log analysis, and process-level debugging; NVIDIA Jetson experience is a strong plus

• 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 diag