Edge AI Engineer - name

Polluxa, Inc.; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Bright Vision Technologies (BV Teck) seeks an experienced ML engineer focused on edge and mobile AI to advance on-device inference capabilities. You will design, optimize, and deploy models for constrained hardware, collaborating with cross-functional teams to meet performance and privacy requirements.

The ideal candidate has 6+ years in ML engineering, strong Python and C++, experience with model compression and edge frameworks, and a track record of production deployments on mobile or embedded

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.
• 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.

Skills

Python

C++

Edge ML

Profiling

Communication

Education

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

Tools

NPUtoolchains

DSPtoolchains

Edge inference framework

Job description

• 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.
• 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.

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.