Jobs at ARM

• Set the product direction
• Choose target developers and representative workloads. Define the problem, desired outcome, roadmap, and product boundaries. Decide which capabilities should be common across markets and which must remain specific to humanoids, autonomous vehicles, or other robots.

• Define board power architectures and power trees, selecting VR components to meet efficiency, transient response, voltage ripple and other system requirements.
• Perform simulation and analysis of board PDNs with tools including SIMPLIS, SPICE, PowerDC, and Ansys SIWave.

• Drive strategic partnerships with Cloud AI BU’s IHV partners.
• Lead AVL validation program with IHV’s and OxM’s.

• Develop highly optimized solutions for AI workloads, from kernel level to system level, to meet the needs of the customer application.
• Create production quality reference implementations, documentation, and performance focused technical content

If you're interested in helping define Arm's next generation of XR and wearables, this is a unique opportunity to become an instrumental part in how we connect AI assistants, continuous sensing, and new form factors with the compute platforms behind real and meaningful experience.

Arm's techno...

• Knowledge of Design or Verification flows used in SoC development, with an awareness of other aspects of SoC development
• Skilled in a scripting language such as python and flows used for version control such as git, gerrit

• Solid understanding of digital hardware Verilog HDL and Verification strategies including, SystemVerilog UVM, C, Formal, and Hardware/Firmware co-verification.
• Verification experience in Security Hardware, Embedded Processor Systems, Applied Cryptography, Secure Boot, and Key Management.

• Conduct original research in one or more areas of robotics, such as machine learning and robot learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics.
• Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act i...

• Conduct original research in one or more areas of robotics, such as machine learning and robot learning, perception, planning, control, optimization, safety, formal methods, robot systems, or mechatronics.
• Develop new methods for enabling intelligent robots to perceive, reason, plan, learn, and act i...

• Design, develop, test, and operate APIs and platform services.
• Build Kubernetes operators and automation that enable self-service engineering workflows.

• Advanced understanding of hardware Verilog RTL design, verification, and EDA methodologies.
• Proven experience in Security Hardware, Embedded Processor Systems, Applied Cryptography, Secure Boot, Key Management, and Access Controls.

• Lead planning, implementation, tracking, monitoring, and reporting for complex projects and programs.
• Work with teams to build realistic plans and maintain clear visibility of delivery progress and confidence.

• Collaborate across the team to develop, document, test, and deploy Raven.
• Design and implement innovative Raven functionality to enable verification of architectural and microarchitectural features.

• Develop reusable software infrastructure for post-silicon validation and characterization
• Build Python automation for workloads, platform controls, instrumentation, and data collection

• Develop and maintain one or more functional safety work products such as Safety Plan, Safety Case report, adhering to established methodologies
• Drive safety analysis activities within the team and develop associated work products such as FMEA, FMEDA and DFA

• Lead the Project Management field across AI & Developer Platforms, setting standards for planning, governance, implementation, risk management, and delivery excellence.
• Lead, develop, and support a distributed team of Project Managers, building capability, consistency, and career growth across the function.

• Memory Controller IP and system model development and analysis: Optimize memory controller IP power and performance features using insights from system level analysis and bottlenecks with key workloads and KPIs. Develop Power and performance methodologies for enabling new workloads and usages with simulation and emulation. Work with various business units to provide models, analysis and guidance on designing optimized systems. Conduct system level analysis for finding bottlenecks and improving IP micro-architecture. Engage with partners in establishing high confidence in Arm IP and systems based on Arm technology. Mentoring team members.

• Define and build the architecture for cloud-based AI inference services.
• Develop Kubernetes controllers and platform capabilities supporting workload deployment, scheduling, recovery, scaling, upgrades, and lifecycle management.

• Build scalable backend services, APIs, and asynchronous workflows for managing AI workloads.
• Develop Kubernetes controllers that manage workload submission, recovery, and long-running service lifecycles.

• Act as the primary technical work with accredited third-party security laboratories responsible for evaluating Arm products
• Lead, coordinate, and run end-to-end security evaluation and certification programs, including planning, execution, documentation, and closure