loadsmart - Senior Embedded Systems Engineer

• 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 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. • 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. • WORKING AT LOADSMART: • Competitive base salaries - we believe in rewarding top talent • Extremely competitive Equity package - become a shareholder in our company! • Loadie Time Off - PTO and sick days without a limit • Comprehensive Medical, Dental, and Vision insurance plans • Applicants must be currently authorized to work in the United States on a full-time basis. Loadsmart will not sponsor applicants for work visas.