Senior Principal Engineer jobs at Arm in United States, Seattle

Applications Engineering is a multifaceted, deeply technical role, where you will not only use your expertise but your social skills to support our partners through their technical challenges. This role is mostly focusing on Arm IP and Subsystem products that target the Automotive markets.

Working with customers means that you will need to understand what they want to achieve, analyze their requests and issues and provide a solution that moves them forward. As your the experience grows, you will develop and present training courses on our products to customer development teams, and also provide reviews and advice on their system designs. You may be required to mentor and guide other team members, passing on your deep experience and expertise to assist with developing best working practice within the group.

You will collaborate with engineering teams and new product planning teams, acting as the voice of the customer to motivate changes which improve our products and help our partners adopt new technology. You will also raise defects against products, review documentation and periodically write application notes, example source code and knowledge base articles.

• Provide fast and accurate technical answers to customer questions
• Develop and deliver technical training corses on IP systems, both onsite and remotely
• Perform SoC design reviews of customers' Arm-based systems and provide functionality and optimization recommendations
• Work with Arm IP design and product management teams to improve partners experience and influence IP feature development
• Develop tools and techniques to aid Application Engineers solve problems more efficiently
• Mentor junior members of the team

• Deep experience designing or verifing ASICs and other digitial systems
• Proven understanding of SoC architecture and design principles, especially for Automotive applications
• Experience debugging RTL issues, including in silicon
• Knowledge of scripting languages (Perl/python).
• Ability to work with remote teams and software teams
• Excellent written and spoken English language skills

• Arm CPU Architecture and AMBA bus protocols
• High speed I/O : PCIe, CXL, CCIX
• Experience with failure modes, effects, and diagnostic analysis (FMEDA) or dependent failure analysis (DFA) would be a plus.
• Understanding of Function Safety (FuSa) knowledges and processes, including knowledges of ISO 26262 or IEC 61508.
• Experience of SoC design for FuSa products is also a plus.
• SoC physical implementation and manufacturing principles
• A Degree or equivalent experience in Electronic Engineering

You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a diverse team of project and program managers.

• Define the AI acceleration roadmap across Arm’s compute portfolio (CPU, GPU, NPU).
• Drive AI/ML software optimization for TensorFlow, PyTorch, ONNX, and TVM on Arm-based chips.
• Identify AI market trends, customer difficulties, and competitor strategies to refine product positioning.
• Work with hyperscalers (AWS, Google, Microsoft), OEMs, and AI startups to drive adoption of Arm’s AI technology.
• Collaborate with engineering teams to optimize AI workloads for low-power inference and high-performance AI acceleration.
• Support developer relations, SDK/API improvements, and open-source initiatives to expand Arm’s AI influence.

• 5-10+ years of product management in AI/ML, semiconductor, or software-hardware co-design.
• Strong AI/ML knowledge, including AI inference optimization, neural network quantization, and hardware acceleration.
• Experience in AI frameworks (TensorFlow, PyTorch, ONNX, TVM, MLIR) and their optimization for custom silicon.
• Familiarity with low-power AI workloads, edge AI, or cloud AI infrastructure.
• Experience engaging with hyperscalers, OEMs, and AI software developers to drive product adoption.
• Strong technical acuity with the ability to collaborate across engineering, marketing, and sales teams.

• Master’s or PhD in Computer Science, AI/ML, or Electrical Engineering.
• Experience in semiconductor AI acceleration (e.g., NPUs, AI-optimized CPUs/GPUs).
• Background in AI compilers, LLVM, MLIR, and AI-specific software stacks.

Responsibilities:

• Accountable for ensuring our performance tools provide the automated insights to solve performance issues. Establish the 'what do I do next' insights for performance workflows.
• Grow into a go-to expert on performance workflows on Arm Neoverse platforms, driving user impact by bringing technical insights from across the organization to life in tooling.
• Work with product, UX (user experience) and engineering to help specify and test required features in the tool.
• Craft end to end application performance issues as demonstrable examples and tests.
• Build online support documentation and code examples for developers debugging performance problems through our learning paths.

Required Skills and Experience:

• 5+ proven experience identifying and resolving performance issues in server and cloud contexts with a deep understanding of computer architecture.
• Familiarity with performance profiling and monitoring tools (e.g., VTune, New Relic, Datadog, AppDynamics, Grafana, Prometheus).
• A passion and history of writing and sharing technical knowledge.
• Proficient in both high and low level programming preferably with C++ and Python.

“Nice To Have” Skills and Experience:

• Applicable knowledge of the Arm architecture and how it differs from x86.
• Technical leadership roles and responsibilities.

• Developer Engagement: Lead outreach to internal and external developer communities, promoting standard methodologies, tools, and frameworks for AI/ML and enterprise application development on Arm architectures.
• Customer Collaboration: Partner with customers to identify their AI/ML and enterprise application needs, designing and prototyping solutions for server-side systems and mobile platforms that meet performance and scalability goals.
• Solution Prototyping: Create proofs-of-concept (PoCs) and prototypes integrating AI/ML workloads (e.g., LLMs, computer vision) with enterprise applications, optimized for Arm-powered devices across edge, server, and mobile environments.
• Benchmarking Tools Development: Design and implement benchmarking tools to evaluate the performance of AI/ML models and enterprise applications on Arm architectures, providing developers and customers with actionable insights.
• Competitive Analysis: Conduct in-depth analysis of opposing platforms and solutions, identifying strengths, weaknesses, and opportunities to position Arm’s offerings as the industry leader in AI/ML and enterprise computing.
• AI/ML Enablement: Enhance developer tools, APIs, and frameworks (e.g., TensorFlow Lite, PyTorch) to fine tune AI deployment and prototyping, incorporating benchmarking capabilities for performance validation.
• Enterprise Application Focus: Develop scalable solutions addressing customer needs in server-side enterprise systems (e.g., microservices, APIs) and mobile applications, demonstrating benchmarking to ensure performance.
• Technical Leadership: Guide engineering teams and customers on optimizing AI models and enterprise applications, using benchmarking data and insights to instruct design decisions.
• Multi-functional Collaboration: Work with hardware engineers, software developers, and customer teams to refine prototypes and benchmarking tools, ensuring solutions are production-ready and competitively superior.
• Industry Influence: Stay ahead of trends in AI/ML, enterprise computing, and competitive landscapes, giving to developer resources, publications, or open-source projects to elevate Arm’s ecosystem.
• Mentorship: Mentor junior engineers and developers, fostering a culture of customer-focused innovation, meticulous benchmarking, and awareness.

• Education: Master’s or Ph.D. in Computer Science, AI/ML, or a related field (or shown experience).
• Experience: 10+ years in AI/ML software engineering, system architecture, or enterprise application development, with a focus on deployment, optimization, and performance evaluation.
• Shown experience engaging with developers or customers to prototype and deliver technical solutions.
• Background in benchmarking, performance analysis, or competitive analysis within AI/ML or enterprise software domains.
• Technical Expertise:
• Strong proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and their application in prototyping and performance testing.
• Experience with AI model optimization (e.g., compression, quantization, distillation) and benchmarking for edge, server, or mobile deployment.
• Deep understanding of enterprise application architectures (e.g., server-side systems, microservices) and mobile development (e.g., iOS, Android, or cross-platform frameworks).
• Familiarity with Arm architectures and hardware acceleration (e.g., GPUs, NPUs).
• Knowledge of benchmarking tools and methodologies (e.g., MLPerf, custom performance suites) and competitive analysis techniques.
• Leadership & Problem-Solving:
• Shown ability to lead large-scale technical initiatives, balancing innovation, customer needs, and driven positioning.
• Collaboration skills to bridge AI/ML, enterprise software, benchmarking, and customer requirements.

• Experience in developer advocacy, improving tooling, or building ecosystems for AI/ML or enterprise solutions focusing on benchmarking.
• Background in designing benchmarking tools or conducting competitive analysis for customer-facing solutions on Arm or similar platforms.
• Open-source contributions or published research in AI/ML, enterprise computing, or performance benchmarking domains.

Responsibilities

• Developer Engagement: Lead outreach to internal and external developer communities, promoting standard methodologies, tools, and frameworks for AI/ML and enterprise application development on Arm architectures.
• Customer Collaboration: Partner with customers to identify their AI/ML and enterprise application needs, designing and prototyping solutions for server-side systems and mobile platforms that meet performance and scalability goals.
• Solution Prototyping: Create proofs-of-concept (PoCs) and prototypes integrating AI/ML workloads (e.g., LLMs, computer vision) with enterprise applications, optimized for Arm-powered devices across edge, server, and mobile environments.
• Benchmarking Tools Development: Design and implement benchmarking tools to evaluate the performance of AI/ML models and enterprise applications on Arm architectures, providing developers and customers with actionable insights.
• Competitive Analysis: Conduct in-depth analysis of competing platforms and solutions, identifying strengths, weaknesses, and opportunities to position Arm’s offerings as the industry leader in AI/ML and enterprise computing.
• AI/ML Enablement: Enhance developer tools, APIs, and frameworks (e.g., TensorFlow Lite, PyTorch) to streamline AI deployment and prototyping, incorporating benchmarking capabilities for performance validation.
• Enterprise Application Focus: Develop scalable solutions addressing customer needs in server-side enterprise systems (e.g., microservices, APIs) and mobile applications, demonstrating benchmarking to ensure driven performance.
• Technical Leadership: Guide engineering teams and customers on optimizing AI models and enterprise applications, using benchmarking data and competitive insights to advise design decisions.
• Multifunctional Collaboration: Work with hardware engineers, software developers, and customer teams to refine prototypes and benchmarking tools, ensuring solutions are production-ready and competitively superior.
• Industry Influence: Stay ahead of trends in AI/ML, enterprise computing, and competitive landscapes, contributing to developer resources, publications, or open-source projects to elevate Arm’s ecosystem.
• Mentorship: Mentor junior engineers and developers, fostering a culture of customer-focused innovation, rigorous benchmarking, and competitive awareness.

Required Qualifications

• Education: Master’s or Ph.D. in Computer Science, AI/ML, or a related field (or equivalent experience).
• Experience:
• 4+ years in AI/ML software engineering, system architecture, or enterprise application development, with a focus on deployment, optimization, and performance evaluation.
• Proven experience engaging with developers or customers to prototype and deliver technical solutions.
• Background in benchmarking, performance analysis, or competitive analysis within AI/ML or enterprise software domains.
• Technical Expertise:
• Strong proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and their application in prototyping and performance testing.
• Experience with AI model optimization (e.g., compression, quantization, distillation) and benchmarking for edge, server, or mobile deployment.
• Deep understanding of enterprise application architectures (e.g., server-side systems, microservices) and mobile development (e.g., iOS, Android, or cross-platform frameworks).
• Familiarity with Arm architectures and hardware acceleration (e.g., GPUs, NPUs).
• Knowledge of benchmarking tools and methodologies (e.g., MLPerf, custom performance suites) and competitive analysis techniques.
• Leadership & Problem-Solving:
• Demonstrated ability to lead large-scale technical initiatives, balancing innovation, customer needs, and driven positioning.
• Collaboration skills to bridge AI/ML, enterprise software, benchmarking, and customer requirements.

Preferred Qualifications

• Experience in developer advocacy, improving tooling, or building ecosystems for AI/ML or enterprise solutions with a focus on benchmarking.
• Background in designing benchmarking tools or conducting competitive analysis for customer-facing solutions on Arm or similar platforms.
• Open-source contributions or published research in AI/ML, enterprise computing, or performance benchmarking domains.

Why Join Us?

• Lead developer engagement and customer focused innovation for a global semiconductor leader, bringing to bear benchmarking and competitive analysis to maintain Arm’s edge.
• Prototype pioneering AI/ML and enterprise solutions while developing tools to measure and showcase their superiority across server, mobile, and edge platforms.
• Join a diverse, high-impact team shaping the future of computing with a focus on developer success and customer satisfaction!

• Product Strategy: Define the AI acceleration roadmap across Arm’s compute portfolio (CPU, GPU, NPU).
• AI Software & Developer Enablement: Drive AI/ML software optimization for TensorFlow, PyTorch, ONNX, and TVM on Arm-based chips.
• Market & Competitive Analysis: Identify AI market trends, customer pain points, and competitor strategies to refine product positioning.
• Partner Teamwork: Work with hyperscalers (AWS, Google, Microsoft), OEMs, and AI startups to drive adoption of Arm’s AI technology.
• Hardware-Software Co-Design: Collaborate with engineering teams to optimize AI workloads for low-power inference and high-performance AI acceleration.
• Ecosystem Growth: Support developer relations, SDK/API enhancements, and open-source initiatives to expand Arm’s AI influence.

• 5-10+ years of product management experience in AI/ML, semiconductor, or software-hardware co-design.
• Strong AI/ML knowledge, including AI inference optimization, neural network quantization, and hardware acceleration.
• Experience in AI frameworks (TensorFlow, PyTorch, ONNX, TVM, MLIR) and their optimization for custom silicon.
• Familiarity with low-power AI workloads, edge AI, or cloud AI infrastructure.
• Experience engaging with hyperscalers, OEMs, and AI software developers to drive product adoption.
• Strong technical acuity with the ability to collaborate across engineering, marketing, and sales teams.

• Master’s or PhD in Computer Science, AI/ML, or Electrical Engineering.
• Experience in semiconductor AI acceleration (e.g., NPUs, AI-optimized CPUs/GPUs).
• Background in AI compilers, LLVM, MLIR, and AI-specific software stacks.

Responsibilities

• Developer Engagement: Lead outreach to internal and external developer communities, promoting standard methodologies, tools, and frameworks for AI/ML and enterprise application development on Arm architectures.
• Customer Collaboration: Partner with customers to identify their AI/ML and enterprise application needs, designing and prototyping solutions for server-side systems and mobile platforms that meet performance and scalability goals.
• Solution Prototyping: Create proofs-of-concept (PoCs) and prototypes integrating AI/ML workloads (e.g., LLMs, computer vision) with enterprise applications, optimized for Arm-powered devices across edge, server, and mobile environments.
• Benchmarking Tools Development: Design and implement benchmarking tools to evaluate the performance of AI/ML models and enterprise applications on Arm architectures, providing developers and customers with actionable insights.
• Competitive Analysis: Conduct in-depth analysis of competing platforms and solutions, identifying strengths, weaknesses, and opportunities to position Arm’s offerings as the industry leader in AI/ML and enterprise computing.
• AI/ML Enablement: Enhance developer tools, APIs, and frameworks (e.g., TensorFlow Lite, PyTorch) to streamline AI deployment and prototyping, incorporating benchmarking capabilities for performance validation.
• Enterprise Application Focus: Develop scalable solutions addressing customer needs in server-side enterprise systems (e.g., microservices, APIs) and mobile applications, demonstrating benchmarking to ensure driven performance.
• Technical Leadership: Guide engineering teams and customers on optimizing AI models and enterprise applications, using benchmarking data and competitive insights to advise design decisions.
• Multifunctional Collaboration: Work with hardware engineers, software developers, and customer teams to refine prototypes and benchmarking tools, ensuring solutions are production-ready and competitively superior.
• Industry Influence: Stay ahead of trends in AI/ML, enterprise computing, and competitive landscapes, contributing to developer resources, publications, or open-source projects to elevate Arm’s ecosystem.
• Mentorship: Mentor junior engineers and developers, fostering a culture of customer-focused innovation, rigorous benchmarking, and competitive awareness.

Required Qualifications

• Education: Master’s or Ph.D. in Computer Science, AI/ML, or a related field (or equivalent experience).
• Experience:
• 10+ years in AI/ML software engineering, system architecture, or enterprise application development, with a focus on deployment, optimization, and performance evaluation.
• Proven experience engaging with developers or customers to prototype and deliver technical solutions.
• Background in benchmarking, performance analysis, or competitive analysis within AI/ML or enterprise software domains.
• Technical Expertise:
• Strong proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and their application in prototyping and performance testing.
• Experience with AI model optimization (e.g., compression, quantization, distillation) and benchmarking for edge, server, or mobile deployment.
• Deep understanding of enterprise application architectures (e.g., server-side systems, microservices) and mobile development (e.g., iOS, Android, or cross-platform frameworks).
• Familiarity with Arm architectures and hardware acceleration (e.g., GPUs, NPUs).
• Knowledge of benchmarking tools and methodologies (e.g., MLPerf, custom performance suites) and competitive analysis techniques.
• Leadership & Problem-Solving:
• Demonstrated ability to lead large-scale technical initiatives, balancing innovation, customer needs, and driven positioning.
• Collaboration skills to bridge AI/ML, enterprise software, benchmarking, and customer requirements.

Preferred Qualifications

• Experience in developer advocacy, improving tooling, or building ecosystems for AI/ML or enterprise solutions with a focus on benchmarking.
• Background in designing benchmarking tools or conducting competitive analysis for customer-facing solutions on Arm or similar platforms.
• Open-source contributions or published research in AI/ML, enterprise computing, or performance benchmarking domains.

Why Join Us?

• Lead developer engagement and customer focused innovation for a global semiconductor leader, bringing to bear benchmarking and competitive analysis to maintain Arm’s edge.
• Prototype pioneering AI/ML and enterprise solutions while developing tools to measure and showcase their superiority across server, mobile, and edge platforms.
• Join a diverse, high-impact team shaping the future of computing with a focus on developer success and customer satisfaction!