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© All Rights Reserved. ApplyBlast.com
Groq
This role focuses on leading complex customer engagements for AI infrastructure, translating ambiguous requirements into production-ready architectures and solutions. The engineer will work hands-on across Linux, Kubernetes, and GPU/LPX systems to deploy, validate, and troubleshoot large-scale AI workloads. Collaboration with internal teams and customers is essential to drive technical execution and improve platform capabilities.
Headquarters
Mountain View, California, United States
Company Size
51-200 employees
Founded
2016
Groq is the premier neocloud for fast AI inference, offering a fully integrated platform for infrastructure, inference, and control. It pioneered the LPU and now pairs its LPX with NVIDIA's next-generation GPUs to deliver fast, affordable, and scalable inference at hundreds of megawatts of capacity. Millions of developers run trillions of tokens on Groq every week, making it a leading destination for production AI workloads.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Groq.
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