Edge Ai Experience Kit Lead jobs at Arm in United Kingdom, Cambridge

As a Staff Software Engineer, you will own one or more engineering platforms and their delivery. You will work with engineers, project management and stakeholders to define the platform roadmap and improve the impact of services for our engineering community.

Lead the developer portal platform team, providing an outstanding engineering experience for Arm's hardware and software engineers. The domains and areas include:

• Define a roadmap of future work, carry out customer management and regularly present a view of customer interest and asks.
• Drive Developer Experience Improvements - Collect feedback from internal teams to continuously improve portal UX, performance, and capabilities that reduce cognitive load and improve onboarding, discoverability, and self-service.
• Collaborate Across Engineering & IT - Partner closely with platform, software and hardware teams to integrate services, tooling, and policies into the portal in a user-centric and automated manner.
• Work hands-on with a variety of technologies, to provide a first-class engineering experience for Arm's hardware and software engineers
• Line management and professional development of the platform team members.

• Experience of Product/Service ownership, setting the roadmap direction, leading the delivery backlog and representing customers needs to the engineering team.
• Worked in a Platform Engineering environment, with the associated focus on developer experience and productivity, and the ethos of enabling self-service access to infrastructure and systems through automation.
• Background in software engineering and DevOps having worked with varied languages, toolchains and environments.

• Experience in building or integrating developer tools, platforms, or portals, such as Backstage.
• Proficiency in web development with React, TypeScript and Node and experience with Bash and Python.
• Solid understanding of Cloud platforms (AWS, GCP, Azure) with knowledge of Kubernetes, and other DevOps tools (e.g. Docker, Kubernetes, Terraform, Helm, ArgoCD) and CI/CD (Jenkins, Artifactory, Gitlab).

As a hardware design engineer, you will make a difference by influencing the design methodology, taking ownership of complex work packages and driving them to success, including front-end implementation tasks like synthesis, logic equivalence check, power analysis and optimizations.

• An understanding of the entire ASIC/FPGA design flow and knowledge of hardware description languages: Verilog or System Verilog.
• Confirmed delivery record of high quality, low power, high performance sophisticated micro-architecture and RTL implementations in reasonable timescales.
• Skilled in planning design tasks and producing realistic effort and time estimates.

• Experience in working with requirements definition and management.
• Formal verification experience.
• Proficiency in developing C/C++ models of a microarchitecture.
• Familiarity with Arm architecture and AMBA bus protocols.
• Experience with CI platforms and version control tools.
• Practical knowledge of machine learning and neural networks.

This position can be either located in Cambridge or Lund.

• Design and develop test cases and sample applications to ensure production-quality software.
• Collaborate with global teams to build and automate CI/CD pipelines.
• Work with open-source communities and partners to maintain system-level test cases.
• Adapt to testing various components across the networking software stack.

• Expertise in testing software interfaces and functionality in C/C++/Python.
• Strong grasp of multicore processor architectures and low-level systems.
• Experience developing automated test frameworks, maintaining CI/CD pipelines, and improving software quality.
• Skilled in defect identification, data analysis, and performance benchmarking.
• Proficiency in Git and distributed version control systems.

• Experience with open-source software maintenance, SDN, Kubernetes, and Docker.
• Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL).
• Performance benchmarking and multi-node setup testing using traffic generators like IXIA.

• Travel across Europe and the UK, supporting our partners in the games industry in their use of Arm technology
• Collaborating closely with your counterpart team in China to share knowledge
• Keeping up to speed on the latest graphics techniques, learning from other teams within the company
• Sharing lessons learned and providing feedback to our research and tooling development teams, driving our future roadmaps

• Understanding of modern Game Engine rendering pipelines
• Ability to debug and modify graphics features
• Graphics profiling knowledge
• Modern graphics API knowledge (Vulkan, DirectX12)
• Shader development and optimization skills
• Excellent communication and collaboration skills
• The ability to integrate yourself as a guest in a new team and share your knowledge while respecting the domain and skills of the team you are advising
• High debugging skills for both CPU and GPU
• Experience in working with large codebases, both adding features and maintaining
• Programming experience (C++ and shader languages)
• Experience with version control system and delivering software.

• Shader development and optimisation skills
• Debugging skills for both CPU and GPU
• Experience in working with large codebases, both adding features and maintaining
• Knowledge of emerging AI graphics techniques
• Games proven experience, ideally as part of an engine / CoreTech team
• Familiarity with CI pipelines and validating / testing the codebase

As an experienced C/C++ developer, you will lead a team developing Linux application-level software for a new range of Arm hardware devices aimed at AI use cases. You will work with architects, other technical leaders and project managers to define, estimate, plan and deliver work for your team. You will also be the line manager for the team, handling the full range of activities such as hiring, development and performance evaluations.

· Leading a high-performing team of up to 5 engineers

· Developing Linux services to manage AI workloads and interact with device drivers

· Experienced at designing and developing Linux application-level software in modern C or C++

· Interacting with the Linux kernel and device drivers

· Expertise in inter-process communication, including mailboxes and shared memory

· Experience in managing other engineers

· Effective communicator and ability to collaborate well within and across teams

· Familiarity with container technologies such as Docker

· Understanding of tensor operators in Neural Networks

· Understanding business requirements and technical architecture

· Ensure the technical foundation for our solutions are strong and develop and guide sophisticated solutions

· Defining engineering work packages and capturing these in a prioritized backlog

· Communicating and aligning with other technical leaders and engineering teams

· Provide technical guidance to the team and mentoring to junior engineers, helping them develop skills and improve their performance

· Experienced C/C++ developer with some familiarity with python

· Track record of providing technical leadership across multi-team projects

· Knowledge of Linux system fundamentals (networking, storage, and operating systems) · Expertise with embedded Linux software stacks including firmware and kernel drivers

· Effective communicator and ability to collaborate well within and across teams

· Knowledge of the Arm AArch64 architecture

· Awareness of security threat modelling and security development lifecycle

• Define and drive delivery of the software development kits for Arm's next generation of Edge AI devices, including the software components, toolchains and documentation
• Work with external customers and partners to understand what they need to be successful
• Work with our software engineering teams to build and deliver our experience kits
• Engage with lead partners to help ensure they can successfully unlock the full potential of Edge AI
• Engage with Ecosystem vendors to deliver system and application-level components
• Contribute as part of a broader product team, defining the software, tools and ecosystem for a new class of Edge AI devices

• Experience delivering SDKs or platform software which is used by software engineering teams
• Strong ML/AI skills and an understanding of the needs of developers working with AI at the Edge
• Experience working in the IoT or Embedded space
• Solid development skills low-level programming languages like C, C++ or Rust
• A curious mind and an interest in continuous learning

• Strong written communication skills
• A background in a delivering a Linux software distribution or in platform software development
• Experience with long-term support of commercial products
• An understanding of the latest trends in AI/ML research and development
• Good familiarity in one of the popular ML frameworks such as PyTorch/ExecuTorch, TensorFlow, JAX, ONNX PaddlePaddle
• A history of developer engagement or participation in an active open-source development community
• Experience of Product Owner roles, or a desire to growing into more commercial and product focused roles