1 day ago
Cambridge, United KingdomStaff+
Responsibilities
- Define and maintain target architectures and roadmaps for AI-enabled engineering across software development, build, verification, testing, design, and engineering operations.
- Develop reusable patterns for engineering agents, retrieval, model access, tool use, orchestration, context, evaluation, observability, and production support.
- Define integration patterns across source control, CI/CD, artifact management, IDEs, command-line tools, APIs, schedulers, technical computing, and specialist engineering platforms.
- Set architecture for identity propagation, secrets, permissions, privileged execution, human approval, traceability, failure handling, and safe shutdown.
- Shape secure and traceable AI access to source code, specifications, build and verification results, design artifacts, telemetry, and engineering knowledge.
- Lead significant Engineering AI design decisions and balance scale, latency, concurrency, resilience, cost, and supportability.
- Partner with engineering, platform, data, security, and service leaders while influencing without direct reporting authority and mentoring others.
Requirements
- Experience leading architecture for complex engineering platforms, developer environments, or technical-computing ecosystems at scale.
- Experience designing production AI solutions, including generative AI, agentic systems, retrieval-augmented generation, model integration, and evaluation.
- Strong architecture knowledge across source control, CI/CD, artifact management, build systems, developer tooling, APIs, events, IDE workflows, and command-line workflows.
- Experience designing for demanding distributed or compute-intensive workloads involving throughput, latency, concurrency, scheduling, capacity, resilience, and cost.
- Knowledge of identity, authorization, secrets, privileged execution, software supply-chain controls, auditability, and safe failure for AI-enabled workflows.
- Experience defining target architectures, reference patterns, and non-functional requirements and guiding services from experimentation into reliable production operation.
- Ability to influence senior Engineering and technology leaders, translate between specialists and enterprise teams, and build commitment without reporting-line authority.
- Preferred experience with semiconductor or SoC development, EDA, verification, simulation, engineering workflows, tool-protocol ecosystems, architecture communities, standards, research, open source, or technology partnerships.
Benefits
- Encouraging and inclusive environment supporting continuous learning and professional growth.
- Hybrid working framework with team-determined patterns; role-specific details are shared during the application process.
- Recruitment adjustments and accommodations are available upon request.
- Equal opportunity employer committed to a respectful and diverse workplace.
Categories
About Arm
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.