Product Manager
CurrentProduct Manager - AI/HPC for MTIA chips and systems to accelerate AI at Meta.
Sep 2024 - Present
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Aman Verma Email & Phone Number
Product Management, AI Hardware at Meta
at
Meta
1 work email found
@microsoft.com
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✓ Verified July 2026
4 data sources
Profile completeness 86%
Current company
Role
Product Management, AI Hardware at Meta
Location
Greater Seattle Area, United States
Who is Aman Verma? Overview
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Aman Verma is listed as Product Management, AI Hardware at Meta at Meta, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at microsoft.com and a matched LinkedIn profile for Aman Verma.
Aman Verma previously worked as Product Manager at Meta and Product Manager at Google. Aman Verma holds Doctor Of Philosophy (Ph.D.), Aerospace Engineering And Mechanics from University Of Minnesota.
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{first}.{last}@microsoft.com
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Profile bio
About Aman Verma
Product leader with 15+ years driving innovation in AI and HPC hardware and software infrastructure.Currently helping build Meta's AI hardware infrastructure including MTIA, Meta's custom AI chip. Previously at Google, I led the core ML software infrastructure (runtime, compilers) focused on performance, fleet and developer efficiency. Prior to that at Microsoft Azure, I helped build supercomputers for HPC and AI cloud customers.Proven track record of leading high-impact strategic initiatives with deep expertise in AI infrastructure and cloud computing. Demonstrated ability to bridge business, product, and technical domains, translating research into impactful products (1 patent, 20+ publications). Ph.D. in scientific computing. IIT-alumnus.
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10 roles · 12 years
Aman Verma work experience
A career timeline built from the work history available for this profile.
Product Manager
Product Lead for Google's core ML software infrastructure (compilers, runtimes). Impacting users and partners across Google (DeepMind, Cloud, Ads, Search, YouTube, etc.) and directly influencing the roadmap for ~100 engineers.- Delivered (0->n) a standardized ML runtime infrastructure for scalable and performant ML execution across HW (TPU, GPU, CPU) and frameworks (JAX, PyTorch, Tensorflow). This is the default stack at Google and many industry partners (open source OpenXLA).- Proposed and initiated (0->1) a cross-organizational program to bridge Google's internal and cloud ML infrastructure, translating to significant cloud revenue and infrastructure efficiency through foundational products, tooling and processes.
2022 - Sep 2024
Product Manager
Managed Azure's market-leading product portfolio of HPC compute instances to deliver supercomputing HW+SW infrastructure. Drive the product strategy, roadmap and execution to productize complex infrastructure technologies end-to-end; from silicon to global-scale datacenters. Additionally, managed the software platform and ecosystem: services, tools, libraries for virtualization, performance and usability. Hands-on from technology evaluation, system design, go-to-market strategy to customer/partner sales engagements. Incubated strategic initiatives to invest in novel products and services. Present to executives (CXOs, VPs) in EBCs and public forums.Media interview (The Next Platform); invited presentation (Ansys); 1 conference publication (Super Computing).
2019 - Jan 2022
Software Development Engineer
Delivered platform capabilities for the virtualization, performance and scalability of cloud computing instances. Demonstrated unprecedented scalability of distributed HPC applications on the cloud, 20x over competition, consequently critical to winning multiple deals.Founded roadmap for the HPC & AI software stack on Azure: optimized OS images, container images, extensions, and recipes. Delivered automated provisioning of GPU and InfiniBand (networking) enabled compute with O(10^5) MAUs and >99.9% SLA.
Dec 2017 - 2019
Program Lead / Computational Software Engineer
Leader of the Scientific Computing interest group with >400 members world-wide. Created a technical competency assessment and development program to measure and improve mandated KPIs. Forged relationships in academia and industry for research, recruitment and training.Program Lead for a next-gen HPC multi-physics simulation platform. Delivered a multi-year development roadmap to business stakeholders of a $xB product line to strengthen technology offering and increase market share. Implemented the architecture (MPI, OpenMP, C++11/14), mathematical model and delivered PoC which was strategically built for HPC in the cloud."Be Outstanding - Out of the Ordinary Award" for technical expertise impacting business.1 patent memo (ML for scientific computing), 3 conference publications.
2015 - Dec 2017
Simulation Engineer
Delivered unprecedented 4x performance gains in a legacy multi-physics simulation workflow by leveraging heterogeneous parallel computing. First HPC (MPI, OpenMP, CUDA) deployment on the cloud (Azure, Google) for a petrotechnical application (in 2014) resulting in a scalable, premium product offering to clients with direct annual license revenue of $xM.SME (subject matter expert) advising energy industry clients on optimal and safe productionof assets by leveraging multi-physics modeling and simulation (completion, stimulation).1 patent pending with USPTO.Journal reviewer (Physics of Fluids). Internal publications on HPC for energy industry applications.
Oct 2012 - Oct 2015
Research Assistant
US Navy Submarine 'Crashback': Enabled the first large scale simulations (LES, 20M cells) of a submarine propeller with a hull and analyzed the complex flow in a mission-critical condition. Code (MPI, Fortran) is now used at the US Naval Surface Warfare Center to design stealth submarines.Turbulence modeling in Large Eddy Simulation (LES): Developed a constrained optimization-based, hybrid turbulence model (RANS-LES) to enable inexpensive yet statistically resolved flow simulations in complex geometries replacing inaccurate, parameterized models.3 competitive university awards for excellence in academics.4 journal publications, 7 conference publications in prestigious, high impact-factor journals.
Jan 2008 - Oct 2012
Teaching Assistant
Taught computational structural analysis (FEA) and solid mechanics to senior and junior year undergraduate students.
Sep 2007 - Dec 2007
Research Intern
Performed numerical optimization (Matlab) of energy functionals to determine optimal shapes for internally strained elastic thin films.
May 2006 - Jul 2006
Research Fellow
Developed novel k-d tree based upwind meshless numerical method (C++) to simulate inviscid flow past multi-element airfoils.
May 2005 - Jul 2005
3 education records
Aman Verma education
Doctor Of Philosophy (Ph.D.), Aerospace Engineering And Mechanics
University Of Minnesota
Master Of Science (M.S.), Aerospace Engineering And Mechanics
University Of Minnesota
B.Tech (Honors), Aerospace Engineering
Indian Institute Of Technology, Kharagpur
FAQ
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Quick answers generated from the profile data available on this page.
What company does Aman Verma work for?
Aman Verma works for Meta.
What is Aman Verma's role at Meta?
Aman Verma is listed as Product Management, AI Hardware at Meta at Meta.
What is Aman Verma's email address?
AeroLeads has found 1 work email signal at @microsoft.com for Aman Verma at Meta.
Where is Aman Verma based?
Aman Verma is based in Greater Seattle Area, United States while working with Meta.
What companies has Aman Verma worked for?
Aman Verma has worked for Meta, Google, Microsoft, Schlumberger, and University Of Minnesota.
How can I contact Aman Verma?
You can use AeroLeads to view verified contact signals for Aman Verma at Meta, including work email, phone, and LinkedIn data when available.
What schools did Aman Verma attend?
Aman Verma holds Doctor Of Philosophy (Ph.D.), Aerospace Engineering And Mechanics from University Of Minnesota.
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