Senior Embedded AI/ML Engineer - Edge Inference

Jobtailor; Spring (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced embedded AI/ML engineer to design, implement, and optimize software for edge devices across PCs, docking solutions, displays, and peripherals. You will translate research models into production firmware with low latency, memory, and power footprints.

You will work with hardware, firmware, software, and data science teams to define requirements, integration plans, and validation procedures, while profiling and tuning workloads for performance and energy

Qualifications

• Bachelor’s or Master’s degree in a technical field (CS/CE/AI/Robotics).
• 7–10 years in embedded software, AI/ML deployment or edge inference.
• Hands-on experience deploying AI on embedded systems and constrained devices.
• Experience with model optimization (quantization, pruning) and deployment toolchains.
• Strong ML inference knowledge and real-time performance tuning.
• Familiarity with RTOS/Linux/Windows and low-level software environments.
• Proficient in C/C++ and Python; experience with AI frameworks (PyTorch, TensorFlow, ONNX).
• Knowledge of sensors, devices, data flow, and hardware interfaces.

Responsibilities

• Design, develop, and optimize embedded AI/ML software for edge devices.
• Convert AI/ML models into production-ready implementations optimized for latency, memory, and power.
• Integrate inference engines, model runtimes, and accelerators into firmware and system software.
• Collaborate with hardware, firmware, software, and data science teams on requirements and architecture.
• Profile and tune embedded AI workloads to improve inference performance and memory footprint.
• Develop interfaces between AI components, firmware, drivers, sensors, and host apps.
• Support model compression and deployment using embedded frameworks and hardware acceleration tech.
• Troubleshoot complex system-level issues across AI inference, firmware, sensors, and platform integration.
• Create and maintain architecture docs, design specs, validation procedures, and deployment notes.
• Explore emerging embedded AI topics to drive innovation across future HP platforms.

Skills

Embedded Software Development

AI/ML Model Deployment

C/C++ Programming

Python Programming

Model Optimization Techniques

Hardware/Software Co-Optimization

Multi-Threaded Development

Real-Time Execution

Sensor Input Handling

Debugging and Profiling

Education

Bachelor’s or Master’s in CS/CE/AI/Robotics

Tools

TensorRT

ONNX

TFLite

PyTorch

TensorFlow

OpenVINO

RTOS

Linux

Windows

JTAG

Job description

Jobtailor is seeking an experienced embedded AI/ML engineer to design, implement, and optimize software for edge devices across PCs, docking solutions, displays, and peripherals. You will translate research models into production firmware with low latency, memory, and power footprints.

You will work with hardware, firmware, software, and data science teams to define requirements, integration plans, and validation procedures, while profiling and tuning workloads for performance and energy