Edge AI Engineer

Location: 100% remote within the United States

Salary: $100,000–$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 and implement edge AI solutions for mobile SoCs, NPUs, embedded accelerators, DSPs, and mobile GPUs.
• Apply quantization, pruning, distillation, and architectural optimization to meet compute, memory, energy, and connectivity constraints.
• Build cross-platform inference runtimes using TensorFlow Lite, ONNX Runtime, Core ML, and related technologies.
• Implement secure model updates, versioning, rollback workflows, hybrid edge-cloud architectures, and privacy-conscious telemetry pipelines.
• Develop benchmarking suites for accuracy, latency, memory, and energy trade-offs across target devices.
• Collaborate with hardware, firmware, and product teams while maintaining technical documentation and evaluating new edge AI technologies.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 8+ years of ML engineering experience with significant edge or mobile AI work.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, pruning, edge inference frameworks, and production ML deployment on mobile or embedded platforms.
• Strong performance engineering and profiling skills, with knowledge of mobile and embedded hardware architectures.
• Applicants must be authorized to work in the United States as U.S. citizens, Green Card holders, EAD holders, or candidates eligible for H-1B transfer; new H-1B 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.
• Remote work within the United States.
• Opportunity to work on cloud, AI, data, and enterprise technology solutions.
• Equal employment opportunity workplace.