Edge AI Engineer

Location: 100% remote within the United States

Salary: $70,000–$100,000 annually

Company

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

What you will do

• Design, optimize, and deploy machine learning models for mobile platforms, embedded systems, and specialized accelerators.
• Apply model compression, quantization, pruning, and hardware-aware optimization techniques.
• Deploy reliable machine learning capabilities to production on mobile and embedded platforms.
• Profile and optimize systems under compute, memory, energy, and connectivity constraints.
• Address on-device privacy and security considerations.
• Collaborate with cross-functional engineering teams and communicate technical decisions clearly.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• At least 6 years of ML engineering experience, including significant work with edge or mobile AI; the position lists 8+ years of overall experience.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, pruning, edge inference frameworks, and production deployment on mobile or embedded platforms.
• Strong understanding of mobile and embedded hardware architectures, performance engineering, and profiling.
• Applicants must be authorized to work in the United States; new H-1B visa petitions cannot be sponsored.

Nice to have

• Experience with custom NPU or DSP toolchains.
• Familiarity with federated learning or on-device personalization.
• Experience with safety-critical or industrial edge deployments.
• Open-source contributions to edge AI frameworks.
• Experience optimizing LLMs for on-device inference.

Culture & Benefits

• Full-time direct W2 employment.
• Fully remote work within the United States.
• Career growth opportunities within an established technology consulting and software development organization.
• Equal employment opportunity and a workplace free from discrimination and harassment.