Groq

Systems Support Engineer

Remote Mountain View, CA
USD 90k - 500k
Machine Learning C++ Python Ansible
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Description

At Groq. We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally developed for the gaming market and soon to become the weakest link in the AI economy.

Enter Groq's LPU™ Inference Engine. Specifically engineered for the demands of large language models (LLMs), the Language Processing Unit outpaces the GPU in speed, power, efficiency, and cost-effectiveness. The quickest way to understand the opportunity is to watch the following talk – groq.link/scspdemo.

Why join Groq? AI will change humanity forever, and we believe preservation of human agency and self determination is only possible if AI is made affordably and universally accessible. Groq’s LPUs will power AI from an early stage, and you will get to leave your fingerprint on civilization.

Systems Support Engineer

About this role: 

We are looking for a Systems Support Engineer with experience in system administration and technical support. As a part of the Customer Experience and Support Team at Groq, you will be working closely with our Sales, Field, and Engineering teams to support customers and partners to ensure the entire technical experience with our products is outstanding.  

As a System Support Engineer, you will work with a support team that is passionate about bringing Groq’s groundbreaking AI/HPC hardware and software to developers around the world and have the opportunity to help build the future of the team! 

Whether you’re a seasoned support engineer or an individual who is just starting out we encourage you to apply!

Responsibilities & opportunities in this role:

  • Develop a deep understanding of Groq’s ML accelerator solutions and software offerings. 
  • Stay abreast of the industry  standard machine learning development tool ecosystem.
  • Drive on-site software debug and qualification efforts using available tools to investigate, troubleshoot, and track technical issues until fully resolved. 
  • Engage directly with customers to ensure successful accelerator and server installations in addition to the best possible experience.
  • Manage the technical aspects of the customer design process from product evaluation into production including technical support and debug, escalation management, and program qualification efforts. 
  • Recommend product enhancements and contribute to engineering test and validation plans based on first-hand knowledge and usage.
  • Record all customer interactions and assist in the development of comprehensive and reusable self-service solutions for future incidents.
  • Provide in-depth technical training to key customers and partners as well as to the rest of the field organization. 
  • Lead solutions architecture discussions with strategic lead customers for Groq hardware, network, storage, manageability, and performance optimizations.
  • Coordinate across product, engineering, account management, and project management teams to ensure customer requirements and schedule needs are prioritized and remain on schedule. 
  • Develop customer messaging and coordinate recovery plans when unexpected schedule slips or issues occur.

Ideal candidates have/are:

  • Good programming skills, preferably with C/C++ and Python. 
  • Solid knowledge of Linux fundamentals, including device drivers, hypervisors, virtual machines, and communication between them and system and network profiling.
  • Solid knowledge of system administration, including security setup, device driver management, package management, and hardware and system interfaces.
  • Strong understanding of hardware concepts.
  • Strong communication skills and comfortable engaging directly with customers.
  • Experience with deploying systems with machine learning accelerators or graphics processors (GPUs) in large scale networks, networking, and software/hardware installation.
  • Host system virtualization and containerization for deploying multiple OSs and applications on a server using PCIe endpoint devices.
  • Development of Ansible roles to enable configuration management (OS and network).
  • Server hardware ecosystem at the node, rack and datacenter level.
  • Familiarity with CUDA and MLOps frameworks is a plus.
  • Familiarity with AI/ML, LLMs, vector databases, and semantic search.
  • The ability to learn and adapt!

Qualifications for this role:

  • BS in CS, CE, EE, Math, or Physics or equivalent work experience (within customer support and troubleshooting environments is a plus).
  • Deep understanding of GNU/Linux distributions and troubleshooting issues at the kernel and application level.
  • Experience developing for or supporting one or more HW acceleration products, i.e. ML, networking, security offload acceleration.
  • Customer first mindset. Driven to meet or exceed customer expectations, resolve issues expeditiously and, when possible, proactively. 
  • Excellent leadership, mentoring and cross-functional collaborative skills. 
  • Strong writer and communicator; operate with integrity and drive transparency, openness, and effective communication. 
  • Comfortable engaging directly with customers.
  • Able to work in a very dynamic start-up environment.
  • Willingness to travel to customer locations to support bring-up, debug, porting efforts and on-site customer deployments.  Some roles may require up to 25% travel during peak on-site bring-up and support periods (i.e. one week per month).  
  • Able to lift up to 50 lbs. (racking hardware).

Attributes of a Groqster:

  • Humility - Egos are checked at the door
  • Collaborative & Team Savvy - We make up the smartest person in the room, together
  • Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
  • Curious & Innovative - Take a creative approach to projects, problems, and design
  • Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking

If this sounds like you, we’d love to hear from you!

Compensation: The national pay range for our technical roles are $100,000-$500,000. The national pay range for our non-technical roles are $90,000-$470,000. Individual compensation will be commensurate with the candidate’s experience aligned with Groq’s internal leveling guidelines and benchmarks.

Location: Groq is a geo-agnostic company, meaning you work where you are. Exceptional candidates will thrive in asynchronous partnerships and remote collaboration methods. Some roles may require being located near our primary sites, as indicated in the job description.  

At Groq: Our goal is to hire and promote an exceptional workforce as diverse as the global populations we serve. Groq is an equal opportunity employer committed to diversity, inclusion, and belonging in all aspects of our organization. We value and celebrate diversity in thought, beliefs, talent, expression, and backgrounds. We know that our individual differences make us better.

 

Groq is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status.  We also take affirmative action to offer employment opportunities to minorities, women, individuals with disabilities, and protected veterans.

Groq is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at:  hr@groq.com.  This contact information is for accommodation requests only.  Evaluation of requests for reasonable accommodations will be determined on a case-by-case basis. #LI-Remote

 Groq
Groq
Electronics Machine Learning Semiconductor

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