Director Product Management jobs at Arm in 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.

• 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.

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.

We are seeking a Program Technical Director to lead the execution of AI/ML infrastructure, AI frameworks, and AI model deployment pipelines. This role will ensure end-to-end technical program management, aligning engineering, research, and product teams to deliver high-performance AI solutions at scale.Drive execution of AI/ML programs, including AI frameworks (TensorFlow, PyTorch, JAX), AI model training, and inference optimization!

• Align AI/ML software and hardware co-design efforts, ensuring seamless integration across cloud, edge, and AI chip platforms.
• Manage technical roadmaps, delivery timelines, and engineering dependencies across AI/ML product teams.
• Collaborate with hyperscalers (AWS, Google, Microsoft), AI research labs, and semiconductor partners to optimize AI performance.
• Develop scalable program management frameworks for AI infrastructure, MLOps, and AI model execution pipelines.
• Define and track AI/ML KPIs, ensuring performance, efficiency, and risk mitigation in AI product execution.

Required Qualifications

• 12+ years in AI/ML technical program management, AI infrastructure, or AI model deployment at scale.
• Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, ONNX, MLIR, TVM) and AI hardware-software co-design.
• Proven leadership in large-scale AI product execution, integrating research, engineering, and infrastructure teams.
• Strong experience working with hyperscalers, OEMs, and AI ecosystem partners to scale AI adoption.
• Excellent technical leadership, driving AI execution in fast-paced, cross-functional environments.

In Return:

• Lead high-impact AI/ML technical execution, driving AI acceleration and AI infrastructure at Arm.
• Work alongside AI research leaders (Google DeepMind, Amazon AI, OpenAI, Meta) to shape next-gen AI technology.

• 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.