Edge AI Applications Engineer (ML & CV)

Arm; Cambridge; Hybrid; GBP 97,000 - 132,000; Full time

Job summary

Arm's Partner Enablement group is seeking an experienced Applications Engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs and ecosystem partners on Arm-based systems. You will work with engineering teams to enable adoption, provide training, documentation and hands-on support throughout partner development journeys.

Based in Cambridge with hybrid working, you will collaborate across hardware, ML and applications teams, mentor engineers, and

Qualifications

• More than 10 years in firmware/software development.
• Knowledge of Machine Learning and Computer Vision software stacks.
• Experience with Linux from application layer to driver development.

Responsibilities

• Provide technical support to partners on firmware, software, ML and CV related issues on Arm-based systems.
• Collaborate with hardware, ML and applications engineering peers, and cross-functional teams.
• Investigate and reproduce complex customer issues with engineering to identify root causes and drive resolution.
• Deliver customer training sessions, workshops, and technical presentations.
• Provide technical support during major customer project milestones, including platform bring-up and integration activities.
• Share technical expertise and mentor less experienced engineers.
• Travel occasionally to Arm sites and partner locations.

Skills

Machine Learning

Computer Vision

C/C++

Firmware debugging

Linux

SoC architecture

Arm architecture

Cross-functional leadership

Team mentoring

TensorFlow

PyTorch

ONNX

Tools

RTL simulation tools

Job description

Arm's Partner Enablement group is seeking an experienced Applications Engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs and ecosystem partners on Arm-based systems. You will work with engineering teams to enable adoption, provide training, documentation and hands-on support throughout partner development journeys.

Based in Cambridge with hybrid working, you will collaborate across hardware, ML and applications teams, mentor engineers, and