Make a difference in the intelligence, visual quality, and performance of games on billions of Arm-based devices! Join Arm’s Developer Platforms team to bring machine-learning and graphics technologies to mobile games. This role sits within the Strategy and Ecosystems group, helping deliver an outstanding developer experience for graphics and gaming applications on Arm.
We are looking for an inquisitive software engineer who can connect practical machine-learning model development with real-time graphics and game-engine engineering. You will explore the full software stack—from data and training workflows to on-device inference, rendering, and the underlying hardware. The position is based at Arm’s offices in Shanghai.
Responsibilities:
The Senior/Staff Software Engineer will work with Arm partners and internal teams to turn machine-learning and graphics techniques into production-ready solutions for games in China. The role calls for hands-on expertise in model training and evaluation, real-time graphics, and game engines, together with the ability to explain technical trade-offs and collaborate effectively.
- Design, train, fine-tune, and evaluate machine-learning and neural-graphics models for gaming workloads; optimise them for Arm CPU/GPU deployment while balancing visual quality, latency, memory use, and power consumption.
- Build reliable data and model-training workflows, including dataset preparation, augmentation, experiment tracking, benchmarking, and validation using representative game content and workloads.
- Prototype and integrate model-powered graphics techniques—such as neural rendering, super-resolution, denoising, or ray-tracing enhancements—into real-time rendering and game-engine pipelines.
- Profile end-to-end workloads across data processing, training, inference, and rendering; identify bottlenecks and improve runtime integration, model precision, GPU execution, and memory efficiency.
- Work closely with internal teams and game/engine partners, including onsite collaboration, to bring Arm software and ML solutions into popular games and support them from prototype to deployment.
Job Requirements
A successful candidate will be flexible, curious, and comfortable working across machine learning, graphics, and software engineering, with a commitment to extending the breadth and depth of their knowledge.
Education & Qualifications
BS or MS degree in Computer Science, Computer Engineering, Artificial Intelligence, Graphics, or a related field, or equivalent experience.
Required Skills and Experience:
- Strong programming skills in C/C++ and Python, with experience writing maintainable software.
- Hands-on experience developing, training, and evaluating deep-learning models using PyTorch, TensorFlow, or a comparable framework.
- Sound understanding of model-training fundamentals, including data preparation, model selection, loss functions, optimisation, evaluation metrics, and reproducible experiments.
- Experience with, or proven track record to build, end-to-end AI/ML development workflows, covering dataset and model versioning, training or fine-tuning, experiment tracking, automated evaluation, reproducible pipelines, and model packaging/deployment.
- Strong understanding of computer graphics and real-time rendering, including the graphics pipeline, shaders, and GPU-based workloads.
- In-depth experience with a game engine such as Unreal Engine or Unity, including integrating runtime code or graphics features.
- Experience with Android/mobile software development and a modern graphics API such as Vulkan, DirectX 12, or Metal.
- Strong debugging and profiling skills, an understanding of Arm Mali or other GPU architectures, and clear written and verbal communication in English and Chinese.
“Nice To Have”:
- Experience working with game studios to integrate ML-powered graphics or GPU features into a game engine or shipping title.
- Proven game-development experience, preferably with commercial mobile games and performance-constrained devices.
- Experience with ML inference on edge/mobile devices, including model conversion, quantisation, pruning, or runtime acceleration on Arm platforms.
- Familiarity with Agile/Scrum and collaborative research-to-product development.
In Return:
You will be supported with training and development in a friendly team that is passionate about technology. Arm offices provide an excellent place to collaborate with colleagues, as well as opportunities to take part in social and volunteering activities.
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 accommodations@arm.com 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 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 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.