Intelligent Edge Engineer

Location: 100% remote within the United States

Salary: $135,000–$155,000 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 edge accelerators.
• Apply model compression, quantization, pruning, and hardware-aware optimization techniques.
• Deploy machine learning models to production on mobile and embedded platforms.
• Engineer reliable AI capabilities under compute, memory, energy, and connectivity constraints.
• Profile and optimize system performance while collaborating with cross-functional teams.
• Address on-device privacy and security considerations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 6+ years of machine learning engineering experience, including significant work with edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, and pruning.
• Experience with at least one major edge inference framework and a solid understanding of mobile and embedded hardware architectures.
• Must be eligible to work in the United States as a U.S. citizen, Green Card holder, EAD holder, or H-1B transfer candidate; 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 W-2 employment.
• 100% remote work within the United States.
• Career growth opportunities within an established organization.
• Equal employment opportunity and a workplace free from discrimination and harassment.