דרושים Principal Product Manager ב-Arm ב-United States, Seattle

• Be the visionary for how we understand end-user and developer needs across Cloud to Edge computing for application and AI solutions.

• Build out the team across new and emerging technology areas.
• Define and implement the software product strategy delivery process and roadmap, aligning with the business goals and customer needs across multiple teams.
• Collaborate with a cross-functional team of technology managers, engineers, and other team members to conceptualize and define compelling software products for client market segments.
• Engage with technical customers and partners to solicit feedback, collect requirements, validate assumptions, and demonstrate solutions.
• Build cases to rationalize investments and prioritize features for software products.
• Produce high-quality outbound material such as product presentations, user stories, demos, white papers, etc

You will be a self-starter, detailed, organized, analytical and be able to work reciprocally with the broader teams within Arm.

• Strong understanding of software development methodologies such as agile or lean
• Shown experience in software product management role in a relevant field
• PhD or master's degree or equivalent in engineering, Information Systems, Computer Science with experience in the software stacks typically deployed on devices in our relevant market segments, and the licensing of these
• Experience with writing business plans and commercial justifications
• Understand market landscape and business challenges
• Experience in leading or handling complementary teams across different locations

• 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.

• 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.

• 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.

Verification engineers in the GPU Group play a critical role in developing next-generation GPU IP for graphics and compute. We are looking for passionate and skilled verification engineers who are capable of taking ownership of verification environments for future-generation hardware IP. In this role, you will contribute to all phases of the verification flow, ensuring high-quality and on-time delivery.

• Exposure to all stages of unit verification, including collecting requirements, defining test methodologies, writing test plans, developing testbenches and test cases, and driving verification closure.
• Strong hands-on experience in System Verilog and UVM methodology, with a solid background in Object-Oriented programming.
• Proven ability to debug complex designs and verification environments.
• Experience owning verification environments across multiple stages of verification, from investigation to closure.
• Ability to work with project management and technical leads on planning tasks, setting schedules, and defining quality checkpoints.
• Strong communication skills and ability to work effectively in a large team

• Hands-on experience with formal verification techniques.
• Experience mentoring team members or reviewing technical work.
• Knowledge of scripting languages such as Python, Perl, or Unix shell scripting.
• Experience with continuous integration platforms (e.g., Jenkins) and version control systems (e.g., Git).
• Understanding of verification for Safety and Security requirements.
• Knowledge of the fundamentals of computer architecture and 3D graphics.

• 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.