Staff Applications Engineer

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

Job ID 2026-16857 Date posted 11/08/2026 Location Cambridge, United Kingdom; Sophia Antipolis, France Category Engineering Management

This is an excellent opportunity to join Arm's Partner Enablement group! Applications Engineering is a multifaceted and wide-ranging role that combines deep technical expertise with outstanding interpersonal skills. We help Arm's partners build real world applications based on Arm technology. Our partners scale from big semiconductor houses to small start-ups, and all of them are building new exiting products. This role gives the possibility to be on the forefront of technological evolution and accelerate innovation.

Job Overview

This role focuses on supporting our Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs, and ecosystem partners for Edge and Physical AI applications.

You will contribute directly at a technical level to customer and partner enablement, working closely with engineering teams and other technical experts to ensure successful adoption and deployment of Arm technologies. You will join a highly skilled team, working directly with customers and partners to provide technical support, training, documentation, and enablement throughout their development journey.

There is significant potential for technical innovation and career development as new technologies and Arm ambitions emerge.

Responsibilities

• Provide technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems.
• Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management.
• Investigate and reproduce complex customer issues, working with engineering teams 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.

Required Skills And Experience

• Knowledge of Machine Learning and Computer Vision software stacks
• Experience debugging from firmware to OS/application layers
• Knowledge of the workings of Rich OS such as Linux from application layer to driver development
• 10+ years in firmware/software development
• Strong C/C++ programming skills
• Deep understanding of SoC architecture
• Solid grasp of Arm processor architecture
• Ability to collaborate and provide technical leadership across geographically distributed and cross-functional teams.
• Excellent communications skills both written and verbal

“Nice To Have” Skills And Experience

• Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes.
• System bring-up and JTAG debugging expertise
• Good background of system performance analysis
• Experience with RTL simulation tools and software development tools

In Return

You’ll gain deep exposure to real‑world applications built on Arm architectures, sharpen both your technical and interpersonal skills, and contribute directly to accelerating technological evolution across the industry!

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Salary Range

£97,300 - £131,700 per year