Arm

About the Company

Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm.

Arm is everywhere technology matters. Technology matters everywhere.

Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond.

Changing the world. Again. On Arm.

Listed Jobs

Company Name

Arm

Job Title

Senior AI Engineer

Job Description

Job title: Senior AI Engineer Role Summary: Design, develop and deploy production‑grade AI solutions that enhance engineering workflows. Lead end‑to‑end projects—from concept to production—co‑creating impactful systems with partner teams, while mentoring junior engineers and influencing reusable architectural patterns. Expectations: - Own the full AI delivery lifecycle, delivering measurable productivity gains for engineering teams. - Translate partner needs into scalable AI architectures and maintain high code quality, security, and performance. - Keep abreast of emerging AI tools and evaluate their applicability to large‑scale production environments. - Provide technical leadership through code reviews, demos, and pair programming. Key Responsibilities: - Design and implement LLM‑based systems, including retrieval‑augmented generation (RAG), evaluation pipelines, and guardrails. - Build agentic AI components (planning, memory, tool orchestration) using frameworks such as LangChain or LlamaIndex. - Write production‑ready, testable Python code and contribute reusable libraries and documentation. - Deploy models to cloud platforms (AWS preferred, Azure/GCP acceptable) and manage MLOps pipelines. - Collaborate across disciplines to identify opportunities, deliver prototypes, and iterate to production. - Mentor junior peers and share knowledge through pair programming and demos. Required Skills: - Proven experience delivering production‑grade AI/ML solutions. - Strong Python programming and software engineering fundamentals. - Expertise in LLM systems: prompting, RAG, evaluation, and orchestration. - Familiarity with enterprise AI APIs (OpenAI, Anthropic, Azure OpenAI). - Experience with cloud platforms (AWS, Azure, GCP) and retrieval systems. - Good communication, teamwork, and a learning‑oriented mindset. Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred (advanced degrees or relevant certifications are an advantage).

Cambridge, United kingdom

Hybrid

Senior

03-11-2025

Company Name

Arm

Job Title

ML Quality Intern

Job Description

**Job Title:** ML Quality Intern **Role Summary:** Intern supports building intelligent systems that predict quality risks by training and evaluating machine learning models, preparing datasets, and integrating models into production pipelines. **Expectations:** - 12‑month internship starting summer 2026. - Must be enrolled in an undergraduate, graduate, or doctoral program and intend to return after completion. - Early applications are reviewed on a first‑come, first‑served basis. **Key Responsibilities:** - Train and fine‑tune machine‑learning models to enhance predictive accuracy. - Clean, preprocess, and engineer datasets for analysis and model training. - Evaluate and benchmark models, identify performance gaps, and propose improvements. - Collaborate with software developers and data engineers to deploy models within larger systems. - Experiment with emerging tools and techniques, documenting findings and best practices. **Required Skills:** - Proficiency in at least one programming language, preferably Python. - Strong problem‑solving ability and willingness to learn new tools and methods. - Demonstrated enthusiasm for machine‑learning and data‑driven technologies. - Prior experience with personal ML projects, Kaggle, hackathons, or research (preferred). **Required Education & Certifications:** - Current enrollment toward a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Artificial Intelligence/ML, Software Engineering, or a related field. - Candidates from other disciplines may apply if they possess relevant technical skills and experience.

Cambridge, United kingdom

Hybrid

Fresher

06-11-2025

Company Name

Arm

Job Title

Senior Software Engineer in Test

Job Description

**Job Title** Senior Software Engineer in Test **Role Summary** Drive performance analysis, optimization, and validation of data‑center workloads on ARM64 platforms. Collaborate with partners and internal teams to identify bottlenecks, design benchmarks, and tune system software for throughput, latency, and power efficiency. **Expectations** - Deliver measurable performance improvements for C/C++ and dynamic‑language workloads on ARM64. - Provide clear, data‑driven recommendations for hardware, OS, and compiler optimizations. - Act as a technical bridge between partner stacks and ARM infrastructure, ensuring solutions meet production standards. - Maintain up‑to‑date knowledge of ARM architecture, performance‑profiling tools, and modern OS internals. **Key Responsibilities** - Analyze workloads using Linux perf, hardware PMUs, and trace tools to locate microarchitectural bottlenecks. - Design, execute, and document benchmark suites and profiling experiments. - Tune system configuration (compiler flags, kernel parameters, scheduling policies, runtime environments) to achieve target metrics. - Optimize system software components, including compiler back‑ends and C libraries. - Present detailed performance analyses to partners and internal stakeholders, guiding joint optimization initiatives. - Contribute to open‑source projects (Linux kernel, LLVM, GNU toolchain) where relevant. **Required Skills** - Deep understanding of performance profiling and analysis on Linux/ARM64 (Linux perf, hardware PMUs). - Strong grasp of OS internals: context switching, interrupt handling, task scheduling, virtual memory, NUMA. - Proficient in C/C++; able to read complex codebases and interpret compiler‑generated assembly. - Knowledge of SoC architecture (CPU clusters, interconnects, memory subsystems). - Experience with top‑down performance methodology, from application level to micro‑architectural details. - Ability to design benchmarks, conduct diagnostic experiments, and document findings. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. - No specific certifications required; expertise in ARM architecture, OS internals, and performance tooling is essential.

Cambridge, United kingdom

Hybrid

Senior

10-11-2025

Company Name

Arm

Job Title

Senior Safety Engineer

Job Description

**Job Title:** Senior Safety Engineer **Role Summary:** Lead safety analysis for automotive and industrial hardware, software, and system architectures within a dependability framework. Apply functional safety standards, conduct qualitative and quantitative safety assessments, and advance safety methodologies and tooling. Produce high‑quality technical documentation and support cross‑functional teams in delivering safe, reliable, and secure products. **Expactations:** - Strong enthusiasm, flexibility, and a proactive, hardworking attitude. - Ability to communicate complex technical concepts clearly to diverse audiences. - Commitment to continuous improvement of safety processes and standards. **Key Responsibilities:** - Execute safety analysis activities on automotive/industrial HW, SW, and system architectures. - Develop and refine safety analysis methods; evaluate and recommend new tools and practices. - Produce comprehensive safety reports and work products adhering to industry standards and internal templates. - Collaborate with the functional safety team to apply and evolve relevant safety standards (e.g., ISO 26262). - Contribute to the creation and maintenance of safety documentation and verification artifacts. **Required Skills:** - Master’s degree in Electronics, Computer Science, or a related field (PhD or equivalent industry experience a plus). - Design and verification experience of embedded electronics, HW/SW architectures. - Proficiency with HDL languages (Verilog, VHDL) and programming languages (Assembler, C, C++, Python). - Strong technical writing and documentation review capabilities. - Excellent interpersonal and communication skills for conveying sophisticated technical information. - Familiarity with functional safety standards and dependability concepts (safety, cybersecurity, reliability, availability, real‑time). **Required Education & Certifications:** - Master’s degree in Electronics, Computer Science, Electrical Engineering, or a comparable discipline. - Relevant functional safety training or certification (e.g., ISO 26262, IEC 61508) preferred; PhD or extensive industry safety engineering experience considered an asset.

Sophia antipolis, France

Hybrid

Senior

11-11-2025