דרושים 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.

This is a hands-on role where you’ll be responsible for implementing new features, resolving issues, and improving the quality of our specification workflows. You’ll work closely with experienced engineers and specification authors, contributing to the efficiency and reliability of a growing platform

• Develop and improve Python tools for working with YAML/XML/JSON based specifications.
• Implement and test software components that validate or transform architectural specification data.
• Contribute to improving the authoring experience and consistency of specifications.
• Collaborate with partners across IP development and tooling teams to understand requirements.
• Participate in code reviews and help maintain a high standard of code quality and documentation.

• Proficiency in Python or a similar programming language..
• Strong problem-solving skills.
• Experience using Git for version control and collaborative development.
• High attention to detail and a commitment to writing clean, maintainable code.
• Ability to work independently while knowing when to seek guidance.
• Effective written and verbal communication skills in English.
• Awareness of coding standards, testing, version control, and automation best practices.
• Ability to use Bash or other shell environments for scripting and development workflows.

• Understanding of build systems, testing frameworks, and CI environments (e.g., Jenkins CI).
• Proficiency in manipulating structured data formats such as XML, JSON, and YAML.
• Basic understanding of Makefiles and build automation.
• Familiarity with schema validation techniques (e.g., XSD, JSON Schema).
• Experience writing or maintaining user documentation using Sphinx or similar tool.
• Interest in hardware design concepts (e.g., registers, memory maps, interrupts, clocks, resets).

This diverse role will largely focus on providing software enablement for our next generation CPU and accelerator based technologies on target use-cases. Typical activities would include application and system analysis, technology research, hands-on software prototyping to understand how software and hardware behaves, experimental investigations, and performance analysis. Recent projects have included technologies related to AI Video Camera, Video encode/decode, and LLM (Large Language Model) applications.

• Application bring-up on/porting to Arm silicon and modelling platforms
• Analyzing software stacks both statically (code structure) and dynamically (runtime performance profiling) to characterize the workloads/algorithms and determine a baseline performance from which to start optimization
• Accelerating algorithms with hand-optimized Arm assembly using the latest Arm technologies such as SVE (Scalable Vector Extensions) and SME (Scalable Matrix Extensions)
• Projecting and measuring gains at the application level
• Evaluating workload sensitivity to micro-architecture features and considering relevant trade-offs, especially related to performance
• Providing suggestions about improvements to the (micro-)architecture & application software
• Developing tools to automate workflow
• Line management and taking the lead on some technical areas within the team

• Good understanding of computer architecture and embedded systems
• Experience of software development for a commercial organization
• Strong knowledge of C or C++ programming
• Proficiency in problem solving and debugging skills
• Practical, organized and analytical approach to work
• Good oral and written English skills
• Line management and/or mentoring experience

• Experience with assembly programming
• Knowledge of optimising and profiling software
• Software development and integration on Linux, Android, or similar systems
• Knowledge of scripting languages, including Python

In this role, you will craft, build, and evolve a state-of-the-art benchmarking framework that brings together the hardware platforms (FPGA, emulation) along with their surrounding tools and automated flows. From hands-on hardware integration to benchmarking reports generation, and through scalable scripting and CI pipelines, you will contribute to unlocking the full performance potential of our next-gen CPUs.

• Define and maintain various benchmarking environments in simulation, hardware emulation or FPGA.
• Develop a robust automation framework around these environments, from pre-processing to post-processing.
• Run diverse workloads and benchmarks on in-development CPUs, and deliver insightful performance and benchmarking reports to the design team

• Solid foundation in Electrical Engineering, Computer Science or Engineering
• Experience with hardware bring-up in pre-silicon environments (simulation, hardware emulation, FPGA)
• Comfortable working in Linux-based development environments
• Good English interpersonal skills

• Scripting skills in Python or Perl
• Experience with CPU/System performance analysis
• Familiarity with CPU micro-architectural concepts

We have a friendly and high-performance working environment, where Arm offers a competitive benefits package in France, including: private medical insurance (employee and family), 25 days annual leave, 20-day sabbatical every four years, supplementary pension and reduction in working hours (11 days).

• Cooperate with software teams to establish and implement quality processes at every stage of the development cycle.
• Develop automated test cases for firmware and Linux-based systems (bootloaders, kernel, device drivers and applications).
• Drive improvement at every step of the process in a CI/CD environment.
• Facilitate the timely and effective resolution of any issues detected.

• You will build automated test solutions to deliver production quality software alongside established teams working on our open-source software stack for embedded devices.
• You will contribute to improvements in tooling and automation of various types of testing.
• You will join a distributed team that leads validation efforts to enable the delivery of high-quality software for our new products.

• Good understanding of testing principles, strategies and techniques.
• Experience with integration and system validation tests in an automated environment.
• Proficient user of version control, test management and issue tracking tools.
• Experience at the HW/SW interaction layer, with embedded systems, boot loaders, Linux kernel or device drivers.
• Programming skills to write effective test cases in C and test orchestration in Python.

• ISTQB foundation level certification.
• Experience with functional or non-functional security testing.
• Proficient working with Git, Jira, Yocto.
• Knowledgeable in computer architecture and microarchitecture concepts - ideally for the Arm architecture and its ecosystem.
• Curious about open-source and agile development practices.

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.

This internship will provide you with hands-on experience across QA, DevOps, AI tooling, and software engineering. You will be encouraged to explore new technologies, and take initiative while learning from experienced mentors in both infrastructure and AI domains.

• Work collaboratively across teams to integrate and evaluate machine learning-based EDA tooling within Arm’s internal infrastructure.
• Engage with internal partners to understand their workflows, challenges, and use cases for AI-enhanced solutions.
• Assist in the design, validation, and measurement of tool effectiveness and efficiency.
• Gain exposure to infrastructure development, MLOps, and DevOps best practices in a real-world semiconductor engineering environment.

Project specifics will be discussed during the interview to match your interests and skills.

• Dedicated mentoring and technical guidance.
• A collaborative team environment across disciplines.
• Opportunities to learn and grow in fields such as machine learning, DevOps, software infrastructure, and data engineering.

Are currently pursuing a Master’s degree (BAC+5 or equivalent) in Computer Science, Electronics Engineering, AI/ML, or a related field, and are available for a 5–6 month internship. Preferred candidates will have:

• Programming experience in Python, C++, or a similar language.
• Familiarity with UNIX-based systems and shell scripting.
• Interest in machine learning, DevOps, or data science applications in engineering environments.
• Strong communication skills and fluency in English (written and spoken).

• Exposure to tools such as Git, Docker, or Jenkins.
• Experience working on collaborative or open-source projects.
• Curiosity about MLOps and scalable ML systems.

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

Arm Internships require you to be enrolled in a higher education degree.

French Law requires students to complete an internship agreement (Convention de Stage). This is a tripartite agreement signed by the student, their home university and host organization, that facilitates an internship in France. It is the contract defining all the essential points of the internship: duration, missions, remuneration and benefits, insurance in the event of an accident, etc.

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 package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.