Principal Engineer, AI Systems and Solutions (AI)

TL;DR

Principal Engineer, AI Systems and Solutions (AI): Lead the design and development of integrated AI systems that combine deep learning and machine learning with hardware, software, firmware, board, and silicon components. Focus on AI systems architecture, reinforcement learning/policy learning, computer vision, simulation and robotics, and delivering end-to-end deployments with benchmarks and technical documentation.

Location: US, Oregon, Hillsboro

Salary: $255,850.00-361,200.00 USD (annual)

Company

hirify.global builds scalable engineering solutions and supports product enablement, custom ASIC, and foundry enablement.

What you will do

• Design and develop integrated AI solutions (deep learning and machine learning) that meet customer requirements and operational constraints.
• Own AI systems architecture by translating business opportunities into use cases and product specifications.
• Define hardware and software components to optimize performance, reliability, and maintainability across the system lifecycle.
• Innovate in reinforcement learning, policy learning, computer vision, simulation, and robotics.
• Analyze component-level tradeoffs across performance, features, cost, security, scalability, and sustainability.
• Lead implementation and integration: deploy solutions, execute benchmarks, and deliver technical documentation; mentor technical leaders.

Requirements

• 12+ years of experience in AI systems and solutions (or 8+ years with a Master’s, or 6+ years with a PhD) plus a BS in Computer Science, Electrical Engineering, or a related field.
• Demonstrated expertise in AI productization platforms, deep learning models, and systems architecture.
• Proven experience in solution design, systems validation, and delivering end-to-end technical solutions.
• Proficiency with deep learning frameworks, and programming languages such as Python or C++ plus AI infrastructure tools.
• Strong track record delivering complex technical projects to market with disciplined execution.

Culture & Benefits

• Hybrid work model: split time between on-site work at the assigned Intel site and off-site work.
• Total compensation package includes competitive pay, stock bonuses, and benefits (health, retirement, vacation).
• Role requires passing an extended Background Investigation (including education and sanctions checks, subject to country law).

Hiring process

• Background Investigation and required checks prior to starting (for internal candidates, completion timing may vary).
• Employment consideration provided without regard to protected characteristics under applicable law.