Job ID 2025-13515
Date posted Feb. 13, 2025
Location Cambridge, United Kingdom
Category Hardware Engineering
Do you want to help Arm’s partners build real world solutions based on Arm GPU technology? This is an excellent opportunity to join Arm’s Sales and Partner Enablement group as an Applications Engineer! Our partners scale from big semiconductor houses to small start-ups, 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 Description:
As a GPU Software Applications Engineer, you will demonstrate your technical and customer facing skills to support partners in overcoming technical challenges, primarily focusing on GPU software products. Your role involves understanding customer objectives, analysing requests and issues, and providing effective solutions. You will develop and deliver training courses to customer development teams, offer reviews and advice on GPU use cases and product integration, and provide technical support for issue debugging. Collaborating with GPU engineering teams, you will advocate for customer needs to drive product improvements and facilitate the adoption of new GPU technologies. Additionally, you will identify and report product defects, provide debug patches, review partners’ use cases, and periodically develop debugging tools, application notes, example source code, and knowledge base articles.

Responsibilities:

• Provide high quality technical support for GPU drivers, including detailed technical investigations, issue triage, and performance optimisation recommendations.
• Collaborate with GPU driver design and product management teams to enhance partner experiences
• Develop and deliver technical training courses on GPU drivers, both onsite and remotely.
• Test and validate GPU driver release, providing feedback to the design team before release to partners.
• Develop ideas to improve GPU driver debugging methodologies and tools for efficient issue resolution.

Required Skills and Experience :

• Master’s degree or higher in Computer Science or a related field.
• Over 8 years of experience in GPU driver, graphics application development, and technical support roles.
• Experience in graphics APIs such as Vulkan, OpenGL ES, and Direct3D.
• Understanding of GPU architecture, pipelines, and design principles on mobile and desktop platforms.
• Experience in Linux kernel driver development.
• Strong skills in reproducing and debugging GPU driver issues.
• Knowledge of modern window systems, including SurfaceFlinger on Android and Wayland on Linux.
• Knowledge of operating systems such as Android, Linux, and Windows.
• Good communication skills for collaborating with remote teams across different time zones.
• Proficiency in written and spoken English.

“Nice To Have” Skills and Experience :

• Experience of Windows WDDM or Linux kernel driver development.
• Experience of AI frameworks (TensorFlow, PyTorch, ONNX).
• Knowledge of multimedia use cases including video, camera, display, and GPU.

In Return:
You will have the opportunity to demonstrate technical expertise and leadership skill to engage with GPU design and Product management teams to influence product design and roadmap. You will work closely with highly skilled GPU engineering teams globally on ground-breaking new GPU technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a team with varied strengths of GPU software and hardware application engineers.

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Help Arm’s partners build real world solutions based on Arm GPU technology.|
Accommodations at Arm
At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation 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 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

• Provide high quality technical support for GPU drivers, including detailed technical investigations, issue triage, and performance optimisation recommendations.
• Collaborate with GPU driver design and product management teams to enhance partner experiences
• Develop and deliver technical training courses on GPU drivers, both onsite and remotely.
• Test and validate GPU driver release, providing feedback to the design team before release to partners.
• Develop ideas to improve GPU driver debugging methodologies and tools for efficient issue resolution