Principal Engineer jobs at Arm in United States, Seattle

• 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!