Bright Vision Technologies · 1 month ago
Edge AI Engineer
United States
Full-time
Remote
Senior Level
$100K/yr - $150K/yr
6+ years expBright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The Edge AI Engineer will design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, contributing to the company's mission of transforming business processes through technology.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
No H1B
Responsibilities
Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators
Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints
Tune model performance for latency, energy efficiency, and memory footprint on target hardware
Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML
Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs
Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field
Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability
Build telemetry pipelines that respect privacy while enabling continuous improvement
Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints
Implement secure execution paths, model protection, and integrity verification on edge devices
Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices
Drive responsible AI considerations including on-device privacy and bias evaluation
Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time
Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team
Qualification
Required
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
Six or more years of experience in ML engineering, with significant work on edge or mobile AI
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
Experience deploying ML models to production on mobile or embedded platforms
Strong performance engineering and profiling skills
Familiarity with on-device privacy and security considerations
Strong communication and cross-functional collaboration skills
Preferred
Experience with custom NPU or DSP toolchains
Familiarity with federated learning or on-device personalization
Exposure to safety-critical or industrial edge deployments
Open-source contributions to edge AI frameworks
Experience optimizing LLMs for on-device inference
Benefits
Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Competitive base salary commensurate with experience, plus benefits.
We will support H1B transfers for qualified candidates.
Company
Bright Vision Technologies
Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase