Robotics MPU & DNPU Field Applications Engineer (AI)

TL;DR

Robotics MPU & DNPU Field Applications Engineer (AI): Providing technical leadership for customers architecting next-generation robotics platforms with an accent on embedded Linux, heterogeneous compute, and AI inference integration. Focus on solving complex hardware-software challenges, optimizing perception pipelines, and enabling rapid system bring-up for AMRs, drones, and humanoids.

Location: Must be based in or near San Jose, Austin, Detroit, or the Boston metro area, or major East Coast metropolitan areas with airport access.

Salary: $166,200–$228,500 annually (California range).

Company

hirify.global is a global leader in secure edge intelligence and intelligent edge solutions, driving innovation across automotive, industrial, and IoT markets.

What you will do

• Provide technical leadership for edge-compute architecture, processor selection, and software stack integration.
• Guide customers through end-to-end robotics compute architecture, including perception, localization, and control.
• Architect heterogeneous compute solutions combining Linux application cores with real-time microcontroller tasks.
• Perform lab troubleshooting, schematic reviews, and root-cause analysis across hardware, kernel, and drivers.
• Enable AI, vision, and sensor-fusion workloads on NXP processors and integrated NPUs.
• Deliver technical training, workshops, and proof-of-concept builds for robotics reference designs.

Requirements

• Bachelor's or Master's in Electrical Engineering, Computer Engineering, or Computer Science.
• 10+ years of experience in embedded systems development or applications support for MPU/SoC platforms.
• Strong embedded Linux expertise: bootloader, kernel, device drivers, Yocto, and user-space integration.
• Proficiency in C/C++ and scripting languages like Python.
• Hands-on experience with ARM Cortex-A processors and heterogeneous compute architectures.
• Willingness to travel primarily within North America.

Nice to have

• Experience enabling AI/ML workloads on edge processors and NPUs.
• Knowledge of robotics middleware such as ROS/ROS 2, DDS, and real-time Linux.
• Familiarity with computer-vision pipelines and sensor-fusion (LiDAR, radar, IMU).
• Understanding of functional safety (ISO 26262) and cybersecurity standards.

Culture & Benefits

• Competitive compensation including base salary, incentives, and equity.
• Comprehensive health, dental, and vision insurance.
• 401(k) retirement plan and paid leave.
• Collaborative, high-performance work environment with flexible work arrangements.
• Access to modern, collaborative workspaces in major tech hubs.