Staff Applications Engineer

CamWebDir; United Kingdom; Hybrid; GBP 100.000 - 140.000; Vollzeit

Zusammenfassung

Arm is seeking a senior technical enablement engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs, and ecosystem partners for Edge and Physical AI applications.

You will work closely with engineering teams to ensure successful adoption, deliver training and enablement throughout the partner journey, and mentor engineers while traveling to Arm sites and partner locations as needed.

Qualifikationen

• Knowledge of Machine Learning and Computer Vision software stacks.
• Experience debugging from firmware to OS/application layers.
• Knowledge of Linux from application layer to driver development.
• 10+ years in firmware/software development.
• 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.

Aufgaben

• Provide technical support to partners on firmware, software, ML, and Computer Vision issues on Arm-based systems.
• Collaborate with hardware, ML, and applications engineering peers and cross-functional teams.
• Investigate and reproduce complex customer issues, 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.

Kenntnisse

Machine Learning

Computer Vision

Firmware debugging

Linux driver dev

SoC architecture

Arm architecture

Technical leadership

Communications skills

TensorFlow

PyTorch

ONNX

Inference runtimes

JTAG debugging

Performance analysis

RTL simulation

Jobbeschreibung

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
• 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!

#LI-JW1

Our 10x Mindset

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [email protected] so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working

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

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.

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