JM

Joshua Mora

Large Scale HPC & AI
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Email: ****a@usa.net
LinkedIn: Joshua M.
Location: Austin, Texas, United States
Current employer:
SYSTEM-STACK
Current title:
Chief Executive Officer
Last updated: 15/05/2026 03:26 AM
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About

Joshua Mora is from Austin, Texas, United States. Joshua is currently Chief Executive Officer at SYSTEM-STACK, located in Austin, Texas, United States. In Joshua's previous role as a Principal Engineer, architecting next gen large scale AI solutions at Intel Corporation, Joshua worked in Austin, Texas, United States until Nov 2024. Prior to joining Intel Corporation, Joshua was a Principal Architect at NVIDIA and held the position of Principal Architect at Santa Clara. Prior to that, Joshua was a Chief Architect of microprocessor and applications for HPC and Big Data at FutureWei Technologies, based in Santa Clara, California from Dec 2017 to Sep 2018. Joshua started working as Principal Member Of Technical Staff at AMD in Austin, Texas Area in Apr 2016. From Mar 2013 to Apr 2016, Joshua was R&D SW+HW for HPC, World Wide Provider at HPCguru,LLC, based in World Wide. Prior to that, Joshua was a Director of Research and Development of Cloud Technology at Artisan Infrastructure, based in Austin, Texas Area from Jun 2015 to Nov 2015. Joshua started working as Principal Member of Technical Staff at Advanced Micro Devices in Sunnyvale in Apr 2013.

Joshua Mora's contact information is available for free on finalscout.com, a web-based professional networking database with more than 500 million business contacts and 200 million company profiles.

Joshua Mora's current jobs
Company: SYSTEM-STACK
Title: Chief Executive Officer
Period: Nov 2024 - Present (1 year, 6 months)
Location: Austin, Texas, United States

Bringing next level of resiliency and performance to very large scale HPC and AI infrastructures. Boosting datacenter revenues.

Joshua Mora's past jobs
Title: Principal Engineer, architecting next gen large scale AI solutions
Period: Sep 2020 - Nov 2024 (4 years, 2 months)
Location: Austin, Texas, United States

Research, development and optimization of next generation of supercomputing based solutions (HW+SW) (large scale computation, strong scaling) applied to AI markets.

Company: NVIDIA
Title: Principal Architect
Period: Sep 2018 - Sep 2020 (2 years)
Location: Santa Clara

Research, development and optimization of next generation of supercomputing based solutions (HW+SW) (large scale computation, strong scaling) applied to AI markets.

Title: Chief Architect of microprocessor and applications for HPC and Big Data
Period: Dec 2017 - Sep 2018 (9 months)
Location: Santa Clara, California

Architecting Huawei's next generation solutions for HPC and Big Data markets. See the link below for a presentation/summary of the work I have been driving during the 10 months at Huawei.

Company: AMD
Title: Principal Member Of Technical Staff
Period: Apr 2016 - Nov 2017 (1 year, 7 months)
Location: Austin, Texas Area

Ramp up leadership support for technical, business, marketing on the design of EPYC based (compute + storage) server systems, top US+China accounts for Cloud and HPC markets world wide.

Company: HPCguru,LLC
Title: R&D SW+HW for HPC, World Wide Provider
Period: Mar 2013 - Apr 2016 (3 years, 1 month)
Location: World Wide

World Wide professional services provided: + HPC hands on work Short term (few days) hands on work, to root cause and fix SW or and HW problems in your current HPC solutions. Benchmarking and performance analysis. Mid term SW or/and HW research and development (upto 1 year) of HPC solutions. + HPC brainstorming From concept to implementation: Algorithms, Software, Hardware, Optimization, Efficiency, Productivity. + HPC strategy review HPC technology trends and analysis that align in time with your needs. Forward thinking to max out your Return Of Investment.

Company: Artisan Infrastructure
Title: Director of Research and Development of Cloud Technology
Period: Jun 2015 - Nov 2015 (5 months)
Location: Austin, Texas Area

Wholesale Only Infrastructure For Cloud Solution Providers Enterprise grade, on-demand, platform supported by VMware, NetApp, HP, Arista, Brocade, and Cisco. R&D on Object Based Storage solutions

Title: Principal Member of Technical Staff
Period: Apr 2013 - May 2015 (2 years, 1 month)
Location: Sunnyvale

Responsible for end to end performance characterization, validation and tuning of Seamicro systems (CPU, memory, fabric:network and storage) for HPC and Big Data. Tuning of HPC applications (bioinformatics, oil and gas and molecular dynamics) leveraging 3D mesh network topology awareness and communication overlap. Development, Terasort tuning (YARN tuning, fabric custom routing) and validation of Hadoop 2.0 (YARN) (Cloudera, Hortonworks, MAPR) reference architecture on Seamicro with multi Petabyte storage infrastructure. Machine learning distributed algorithm development and performance assessment (MLP, Kmeans ++ parallel) Development of fault tolerance + network topology aware communication software framework with ZMQ.

Title: Sr. Member Technical Staff
Period: Mar 2007 - Feb 2013 (5 years, 11 months)

World Wide HPC engineering/business support. Performance assesment/tuning of large scale scientific applications on next AMD's generation of multicore processors. Management of HPC infrastructure at AMD performance lab. F1 processor design wins , 2012 and 2010.

Company: Panta Systems Inc
Title: Sr. Principal Engineer
Period: Oct 2005 - Feb 2007 (1 year, 4 months)

Performance assesment and tuning of large scale scientific applications on infiniband based clusters with AMD multi socket/core processors.

Joshua Mora's education
Wharton Executive Education
2024 - 2025
Industrial Institute of Science, Univ. of Tokyo
Research visitor
2000 - 2000
PhD
1997 - 2001
Engineer
1991 - 1997
MS
1996 - 1998
Joshua Mora's top skills
Processors Multi-core Parallel Computing GPU GPGPU exascale Cluster System Architecture STREAM Algorithms Performance Tuning Infiniband Software Engineering High Performance Computing Numerical Analysis CFD numerical algorithms Parallel Programming Performance Benchmarking Scalability
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