Hiring: Intelligent Edge Engineer Company: Bright Vision Technologies Location: Cedar Park, TX Job Posted Time: 2026-09-15 19:56:56 Employment Type: Full-time, Direct W2 Target Skills & Keywords: Edge AI, Machine Learning, Model Compression, Quantization, Pruning, Python, C++, Edge Inference Frameworks, Embedded Systems, Mobile AI, NPU, DSP, Federated Learning, On-Device Inference, LLM Optimization, Performance Engineering Experience: - 6+ years of experience in ML engineering, with significant work on edge or mobile AI - Experience deploying ML models to production on mobile or embedded platforms Required Skills: - Strong proficiency in Python and C++ - Hands-on experience with model compression, quantization, and pruning techniques - Experience with at least one major edge inference framework - Solid understanding of mobile and embedded hardware architectures - Strong performance engineering and profiling skills - Familiarity with on-device privacy and security considerations - Strong communication and cross-functional collaboration skills Qualifications: - Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field - Proven ability to design, optimize, and deploy machine learning models on resource-constrained edge devices - Experience shipping edge AI in production environments where compute, memory, energy, and connectivity constraints shape engineering trade-offs - Preferred: Experience with custom NPU or DSP toolchains - Preferred: Familiarity with federated learning or on-device personalization - Preferred: Exposure to safety-critical or industrial edge deployments - Preferred: Open-source contributions to edge AI frameworks - Preferred: Experience optimizing LLMs for on-device inference Compensation: $135,000–$155,000 Annually Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!