Lightweight Model & Edge Inference Engineer

চাকরির বিবরণ

You will specialise in compressing and deploying deep learning models for real-time inference on resource-constrained robotic and embedded hardware. Your optimised models will run on Jetson devices, Raspberry Pis, and custom edge platforms with strict latency and power budgets. WorkSprout is a deep-tech engineering and design partner across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering & Collection, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We deliver systems that work in production, not just in demos. Office hours 08:00 – 17:00 BST, Monday to Friday; hybrid in Rajshahi, Bangladesh. Applications are reviewed on a rolling basis. To apply, email careers@worksprout.us with the subject "Lightweight Model & Edge Inference Engineer".

দায়িত্ব

• Apply model quantisation (INT8, FP16) and structured pruning to reduce model footprint
• Export models to ONNX, TensorRT, or TFLite for target hardware deployment
• Benchmark inference latency, throughput, and accuracy trade-offs on real devices
• Collect and validate real-world inference data on deployed robot systems
• Optimise memory layout and power consumption for embedded SBC platforms
• Document compression workflows, benchmarks, and performance reports

যোগ্যতা

• Strong Python with PyTorch and model optimisation libraries
• Hands-on experience with TensorRT, ONNX Runtime, or TFLite
• Understanding of quantisation, knowledge distillation, and pruning techniques
• Experience with NVIDIA Jetson (Nano, Xavier, Orin) or Raspberry Pi hardware
• Proficiency in profiling tools (PyTorch Profiler, Nsight Systems, perf)
• Nice to have: Experience with OpenVINO for Intel edge inference targets
• Nice to have: Knowledge of ARM NEON SIMD or RISC-V vector intrinsics
• Nice to have: Familiarity with Triton Inference Server for serving optimised models

সুবিধা

• Work at the frontier of edge AI deployment on real hardware platforms
• Competitive salary benchmarked to international rates
• Access to Jetson, Raspberry Pi, and edge device lab
• Dedicated benchmark and research time each week
• Support for conference attendance and technical publication