Edge AI Engineer

Bright Vision Technologies; Monroeville (Allegheny County); Remote; USD 100,000 - 155,000; Full time

Job summary

Bright Vision Technologies is seeking an Edge AI Engineer to design, optimize, and deploy ML models on edge devices, including mobile platforms and embedded systems. The role emphasizes compression, quantization, and hardware-aware optimization to run reliably outside data centers.

You will work with cross-functional teams to build cross-platform runtimes, tune performance, and ensure secure, privacy‑preserving edge deployments.

Qualifications

• Bachelor’s or Master’s degree in CS, CE, or a related field.
• 8+ years of ML engineering with edge or mobile AI experience.
• Proficiency in Python and C++ for production ML pipelines.
• Experience deploying ML models to mobile/embedded platforms.
• Familiarity with edge inference frameworks.

Responsibilities

• Design edge AI solutions for mobile SoCs, NPUs, edge accelerators.
• Apply quantization, pruning, distillation to meet edge constraints.
• Tune latency, energy, memory on target hardware.
• Build cross-platform runtimes using TensorFlow Lite, ONNX Runtime, Core ML.
• Optimize for accelerator backends.
• Implement on-device update, versioning, rollback workflows.
• Design hybrid edge-cloud architectures that adapt to connectivity.
• Build privacy-respecting telemetry pipelines.
• Collaborate with hardware, firmware, and product teams.
• Ensure secure execution paths and model protection.
• Develop benchmarking suites for accuracy, latency, energy.
• Drive responsible AI on-device privacy and bias evaluation.
• Maintain architecture documentation and runbooks.
• Stay current with edge AI hardware/software developments.

Skills

Python

C++

Performance engineering

Cross-functional collaboration

Communication

Education

Bachelor’s or Master’s degree in CS/CE or related field

Tools

TensorFlow Lite

ONNX Runtime

Core ML

Mobile/Embedded frameworks

Job description

Edge AI Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Edge AI Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$155,000 Annually

Experience Required: 8+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for an Edge AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware‑aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade‑offs.

Key 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.

Required Qualifications

• 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 Qualifications

• 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.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.