Ajit Mathews

CTO

Menlo Park, California, United States26 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Built and scaled 350+ engineering teams at Meta.
  • Launched ROCm, a leading open-source compute platform.
  • Drove innovation in mobile technology at Motorola.
Stackforce AI infers this person is a leader in AI infrastructure and mobile technology innovation.

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Skills

Core Skills

Organizational LeadershipAi/ml Technical DepthMachine Learning Software EngineeringOpen-source PlatformsMachine Learning SystemsPlatform SoftwareProduct DevelopmentEngineering CapabilitiesTechnical StrategyMobile Devices

Other Skills

AI AlgorithmsAgile Project ManagementAndroidAutomotiveChrome PlatformsComputer VisionCross-functional LeadershipCross-functional Team LeadershipData Center TrainingDeep LearningEmbedded SoftwareEmbedded SystemsFirmwareGPUs/AI AcceleratorsGTK

About

Mission: Redefine AI infrastructure at planetary scale by building world-class engineering organizations, advancing Model<->Algorithms<->Silicon co-design, and delivering breakthrough platforms that power the next generation of AI. I’m an engineering executive and ML technologist with a track record of building and scaling large, high-impact teams - 350+ at Meta — to deliver transformative advances in AI infrastructure, distributed systems, and AI silicon strategy. I’ve had the privilege of aligning world-class engineering teams and technical leaders to deliver state-of-the-art performance, shape Meta’s AI silicon strategy, and influence the broader AI industry. We're now on an exciting path—shaping higher-quality and more efficient infrastructure that supports billions of people and unlocks the next generation of experiences across Meta and the industry. Skills: ■ Organizational Leadership: Built and scaled large, high-impact engineering organizations — 350+ people at Meta. Proven record executive hiring and leadership development; distributed/multi-site team management; cross-functional collaboration; mentoring and talent development. ■ AI/ML Technical Depth: Deep expertise in distributed High-Performance Computing, PyTorch, ML compilers, GPUs/AI accelerators, and parallel programming models. Strong background in CUDA, ROCm, GPU architecture. ■ Innovation & Industry Impact: Holder of 10 patents (4 issued, 6 pending), multiple technical publications, and recognized by Mark Zuckerberg for shaping Meta’s AI Hardware strategy and scaling its AI infrastructure.

Experience

Meta

Senior Director Engineering, Meta AI

Aug 2020Present · 5 yrs 7 mos · Menlo Park, California, United States

  • Founded and lead Meta’s AI Acceleration Org, a 350+ person team advancing Generative AI and Recommendation Systems across GPUs and Meta’s in-house silicon (MTIA), spanning both training and inference. The org operates at the intersection of applied research and production systems, delivering state-of-the-art performance across industry benchmarks while shaping Meta’s silicon strategy. Leading and learning from self-directed, exceptional individual contributor and leaders.
  • Key Impacts:
  • > Built & Scaled Organization: Grew a 350+ person global org of HPC specialists, compiler engineers, and applied ML teams, recognized for technical depth and leadership pipeline development.
  • > Software Platforms: Advanced PyTorch-first infra, and enabled high-performance ML compilers & distributed systems for production AI workloads. Build the MTIA Software platform to power Meta’s industry-defining AI silicon. Advanced Gen AI Algorithms and Modeling paradigms.
  • > Industry Impact: Played a central role in shaping Meta’s GPU and accelerator AI strategy, influencing broader industry practices.
  • > Leadership Hiring: Substantial involvement in Meta's AI engineering leadership hiring, candidate reviews.
  • Hands-on management, a proven technical track record, and solid personal & technical leadership.
  • Proud of my team’s work — recognized directly by Mark Zuckerberg: “Your leadership has been critical to scaling our AI Infrastructure. You've helped us align the teams and the technical expertise to accelerate the pace of our development, and we're on an exciting path for Meta and our industry to help build higher quality and more efficient infrastructure to help us deliver experiences to our community and the world.”
  • If you’re excited about redefining AI infrastructure at planetary scale, let’s connect.
Organizational LeadershipAI/ML Technical DepthInnovation & Industry ImpactHigh-Performance ComputingPyTorchML Compilers+2

Amd

Corporate Vice President, Compute and Machine Learning Software Engineering

May 2018Aug 2020 · 2 yrs 3 mos · San Francisco Bay Area

  • Founded and led AMD’s Machine Learning Software Engineering Org, scaling to 450+ engineers worldwide. Drove the company’s compute and AI software strategy for data center training, inference, and HPC, while delivering the industry’s leading open-source heterogeneous compute platform.
  • Key Achievements:
  • > Built & Scaled Organization: Grew and led a 450+ person global team spanning frameworks, compilers, runtimes, libraries, tools, and Linux GPU kernel.
  • > Launched ROCm: Established ROCm (Radeon Open Compute) as AMD’s open-source platform for heterogeneous compute, enabling PyTorch, TensorFlow, MLIR, LLVM, TVM and unlocking AI workloads on AMD GPUs.
  • > Full Stack Leadership: Delivered and optimized frameworks, graph compilers, libraries (BLAS, FFT), runtimes (HIP, OpenMP), and developer tools (rocGDB, rocProfiler) to support production-scale ML models (NLP, CNNs, RNNs, RL, LSTM).
  • > Silicon–Software Co-Design: Drove end-to-end optimization of AMD GPUs for data center training and inference workloads, improving performance, scalability, and developer adoption.
  • > Strategic Growth: Expanded AMD’s global ML software footprint by acquiring Acceleware’s GPU library team in Calgary, Canada, creating a new center of software excellence.
  • > Industry Impact: Positioned AMD as a viable alternative to NVIDIA in AI, HPC, and ML software stacks — shaping developer ecosystems through open source and industry partnerships.
Machine Learning Software EngineeringOpen-source PlatformsHeterogeneous ComputeData Center TrainingInferenceHPC

Intel corporation

Senior Director of Engineering

Aug 2011May 2018 · 6 yrs 9 mos · Santa Clara,California

  • Led and scaled multi-disciplinary engineering orgs of 200–300+ people driving company-wide impact across ML systems, Chrome platforms, and Intel’s first Atom-based tablets. Built leadership bench through hiring and talent development while forging strategic partnerships with Google, Microsoft, and Apple to deliver zero-to-one products and platforms.
  • Key Achievements:
  • > Org Leadership: Built and managed 200–300+ person cross-geo teams, spanning machine learning systems, Chrome OS, computer vision, and platform software.
  • > Zero-to-One Innovation: Delivered Intel’s first Atom processor tablet with integrated graphics & ML capabilities, driving new product categories and market expansion.
  • > Software Excellence: Championed open-source contributions across MKL-DNN, Chrome OS, and Linux while leading software quality initiatives. Won Intel’s Software Quality Award (ISQA) and Intel Achievement Award (IAA) — the company’s highest team and individual honors.
  • > Computer Vision & ML: Built new HW/SW architectures for vision and ML workloads, advancing performance and developer adoption across imaging and video processing.
  • > HW/SW Co-Design: Spearheaded pre-silicon to post-silicon strategies, optimizing hardware and software stacks for next-generation SoCs.
  • > Industry Partnerships: Drove collaborations with Google, Microsoft, and Apple — enabling co-design of products and ecosystems at global scale.
Machine Learning SystemsChrome PlatformsComputer VisionPlatform SoftwareHW/SW Co-Design

Foxconn international holdings limited

Director Product Engineering (Software)

Jun 2008Aug 2011 · 3 yrs 2 mos

  • Served on the leadership team establishing Foxconn’s US product development center, building engineering capabilities and partnerships that accelerated the company’s entry into Android devices and advanced mobile platforms.
  • Key Achievements:
  • > Org & Team Building: Helped create Foxconn’s US engineering startup team, scaling multi-disciplinary software development capabilities.
  • > Strategic Partnerships: Forged relationships with Google that secured Foxconn’s membership in the Open Handset Alliance, enabling Android adoption.
  • > Zero-to-One Products: Directed development of one of Foxconn’s first Snapdragon-based Android tablets, delivered for a Tier-1 CDMA carrier in partnership with Google.
  • > Cross-Industry Collaboration: Managed engineering programs with Intel, Sprint, ST Ericsson, Motorola, Broadcom, and Wind River, accelerating Foxconn’s ecosystem integration and product roadmap.
Product DevelopmentEngineering CapabilitiesMobile PlatformsStrategic Partnerships

Motorola mobile devices

Distinguished Member Of Technical Staff

Nov 1999May 2008 · 8 yrs 6 mos

  • Drove innovation and technical strategy across Motorola’s mobile devices division during a period of rapid industry transformation. Led cross-functional and global teams, delivering first-of-their-kind products and technologies that shaped the evolution of smartphones, graphics, and user interfaces. Consistently rated in the top 10% of performance across Motorola.
  • Key Achievements:
  • > Groundbreaking Product Innovation: Architected Motorola’s first color device (2002) and shipped the first ATI GPU-based mobile product (2004), advancing graphics and multimedia for next-gen devices.
  • > Android Advocacy: Championed Motorola’s early adoption of Android (2008) and led prototype development showcased at Mobile World Congress, laying the groundwork for Motorola’s shift to open platforms.
  • > UI & Interaction Leadership: Led the User Interface Taskforce (2007), creating a declarative UI framework and intelligent multimodal interactions that shipped in 10M+ devices.
  • > Cross-Geo Leadership: Managed teams across China, India, and Japan, delivering mobile web technologies, multimedia frameworks, and ecosystem integrations with partners like Google.
  • > Recognition & Awards: Multiple Design Excellence Awards (2002–2006), “Engineering Excellence” (2002), “Innovator of the Month” (2004), and nomination for Motorola’s Science and Advisory Board Association (2007).
Technical StrategyCross-functional LeadershipMobile DevicesUser Interfaces

Education

Northwestern University - Kellogg School of Management

MBA

Jan 2009Jan 2010

Florida Atlantic University

MS — Computer Science

Bangalore University

Bachelor of Engineering — Electronics and Instrumentation Engineering

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