דרושים Ai System Architect ב-Arm ב-France, Valbonne

• Hold (or will hold) a relevant University degree by the starting date. This can be a Bachelors, Masters or PhD in Computer Science or Electronic Engineering. Candidates with alternative degrees will also be considered if they have proven experience.
• Understand computer architecture concepts and trends (CPU, GPU and/or other hardware acceleration).
• Have strong low level programming and analytical skills.
• Demonstrate passion and communicate clearly.
• Have a strong desire to extend both the depth and breadth of their expertise.

• Deep Learning and/or generative AI (LLMs) and/or Robotics.
• Complex systems and algorithms.
• Architecture performance analysis/optimisation using cycle accurate modelling.
• Digital Signal Processing and/or Computer Vision.
• Vector processing and parallel programming.
• Assembly language, ideally Arm.
• Software/Hardware interface (e.g. device driver, operating system, or compiler development)
• Arm architecture fundamentals.

We encourage early applications as we review them on a first come/first served basis.

In addition to a competitive salary and , you'll also receive the support, autonomy and opportunity to excel in your career.

With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our "Grad-teach-Grads" workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills.

You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.

Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.

1. Implementation of performance critical machines specific kernel or ARM assembly code on dedicated hardware accelerator and CPU to drive algorithm and architecture exploration
2. Collaborate with ML Algorithm development team to explore performance critical analysis
3. Develop internal tooling capabilities to support algorithmic and architecture exploration

• Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic
• Develop performance critical kernel to accelerate fusing of multiple ML operations on accelerators
• Explore different quantization schemes and assess performance PPA trade off

• 3+ years experience in developing performance critical kernel on dedicated accelerator, GPU or CPU
• Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
• Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
• Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
• Ability to develop and work with large software systems in programming languages like Python
• Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch
• Willing to learn and train large deep learning models on GPU-based systems

• Experience with ML model design, optimization, and HW-SW co-development methodology
• ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
• Adaptability to the fast-moving ML industry and willingness to learn new technology in a very dynamic environment

Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.

• Identification/research of forward-looking AI use-cases that will drive Arm's roadmap.
• Building positive relationships within Arm and with Arm's partners, including the largest and most innovative companies in the world.
• Leading development of prototypes and proof-of-concepts, that path-find future use-cases and influence the foundational technology we develop.
• Working as the AI domain expert within a multi-disciplinary team, making a significant contribution to ATG's strategy.

• Experience deploying AI in real applications, in production (for example, on device/cloud or both).
• Experience with GenAI models (either research/deployment) and AI agents workflows.
• Deep knowledge of the full stack for AI applications including data conditioning and processing.
• Practical understanding of ML frameworks such as Pytorch, Tensorflow, ONNX.
• Experience tuning for performance including the use of accelerators.

• Background in computer architecture and techniques for high performance and acceleration of ML workloads.
• Understanding of Android development and internals.

• Responsible for delivering a comprehensive set of tools to enable IoT developers to migrate and deploy their applications and ML models on Arm based platforms
• Define the strategy for platform and ML tooling to support Arm’s IoT products and IP portfolio
• Collaborate with the Arm developer ecosystem and customers to understand the tools and frameworks required to deploy their workloads
• Work across product and engineering teams to ensure that required tools, frameworks and libraries are delivered to provide support for key customers on our solutions
• Manage partnerships with strategic third-party vendors to incorporate and optimize their products on the Arm architecture

• Relevant software development experience on Linux based systems, as a software architect or lead developer for one or more products
• Prior experience building applications with ML frameworks, such as PyTorch
• Excellent communication and teamwork skills, with the ability to build consensus across product and engineering teams
• Exceptional leadership skills, with a history of building and motivating high-performing teams.

• Degree or equivalent experience in a relevant subject, such as electronic engineering or computer science.
• Practical development experience working with the Arm architecture
• Prior experience developing build tools and compilers

Responsibilities:

• Analyse benchmarks and workloads to identify software and hardware optimization opportunities, analyse CPU performance and understand limitations we need to break through.
• Collaborate with various software teams, compiler, OS, applications to implement improvements.
• Collaborate with CPU design teams to identify bottlenecks.
• Write/Extract performance tests out of existing SW applications and run it on C/C++ models, emulators or real devices (Laptops, Smartphones, Servers…) on various operating systems.
• Work alongside with modelling engineers, CPU design teams and Arm Architecture group.
• Drive technical activities.
• Collaborate with Business teams and partners to present technical results.

Required Skills and Experience :

• You graduated from a university or Engineering School, in Computer Science, Mathematics, Electronic / Electrical Engineering, or other related science
• You have bare minimum of several years of either software, hardware, or mathematic experience.
• You have some a proven experience in SW programming alongside with technical management
• You have a passion to innovate, think different, explore new avenues.
• You can work efficiently alone as well as in a team environment.

“Nice To Have” Skills and Experience :

• Having strong SW development experience in one or several domains like HPC, machine learning, distributed applications, web technologies, mobile applications, databases, multi-media, …
• Having strong development skills in one or more high-level programming languages (C, C++, Java, Rust, …)
• Have SW performance analysis experience in platforms like Android (big/LITTLE systems), Windows, Linux and operating System settings impact (power management, frequency governor…) , single-threaded vs multi-threaded…
• Having working experience in CPU performance analysis, methodology (PMU-based, TDA, …), tools (linux perf, Intel Vtune, android simpleperf/perfetto, …), aarch64 assembly language programming
• Having knowledge on CPU architecture and micro-architecture performance techniques (branch prediction, prefetchers, …)
• You are used to develop and adapt some experimental application code to test new architectures.
• You demonstrate passion, drive and diligence.
• You have good written and verbal communication skills

As a member of the IoT Edge Solutions team, you will have the chance to grow your knowledge and expertise. You will contribute to Arm technology deployed in the next generation of AI and IoT systems at the Edge, enabling the safe execution of complex workload scenarios.

Your day-to-day activities will include:

• You will help build automated test solutions to deliver production quality software alongside established teams working on our open-source software stack for embedded devices.
• You will provide recommendations on tooling options for various types of testing and offer input on CI design and setup.
• You will join a distributed team that leads validation efforts and ensures the delivery of high-quality software.

Required Skills and Experience :

• Proficient in Python.
• Good knowledge of C.
• Experience in developing integration and validation tests using various testing and automation tools, frameworks, and methodologies.
• Basic understanding of the Linux kernel, system software and device drivers.
• Hands on experience with software debuggers e.g. gdb.

“Nice To Have” Skills and Experience :

• Proficient working with Git.
• Knowledgeable in computer architecture and microarchitecture concepts - ideally for the Arm architecture and its ecosystem.
• Experience with any automation test framework development or customisation.
• Curious about open-source development practices.

could you be doing as a Graduate CPU Technology Architect?

• Work with real hardware devices (Smartphones, Laptop) to analyze CPU performance and power efficiency.
• Understand the limitations we need to break through.
• Invent and model / prototype new technologies to improve CPU performance or power efficiency.

• Graduated (or are on track to complete by the programme start date) a University or Engineering School degree in Computer Science, Mathematics, Electronic / Electrical Engineering, (or other related science).
• Enjoy innovating, thinking differently, exploring new avenues.
• Are able to work efficiently alone, as well as in a team - this team spans multiple groups and multiple continents.

• You have been working on hardware devices to assess their performance or power consumption
• You have some experience in C/C++/Python programming and Arm assembly
• You are used to working on immature technologies and following the latest advances in science
• You demonstrate enthusiasm, drive and diligence
• You have good written and verbal communication skills

We encourage early applications as we review them on a first come/first served basis.

In addition to a competitive salary and , you'll also receive the support, autonomy and opportunity to excel in your career.

With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our "Grad-teach-Grads" workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills.

You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.