Sr. Machine Learning Solutions Architect - Mountain View, United States - Groq

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 LPUTM 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 – .

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.

Sr. Machine Learning Solutions Architect

About this role:

As a part of the Field Technical Sales organization, you will be working directly with our customers and Groq's business and technical leadership to architect and promote winning solutions and business strategies. The ideal candidate has experience building, deploying, or supporting machine learning solutions in production platforms. A background in software development and AI. Large language models (LLMs), computer vision, text-to-speech, and related domains are all highly desirable. Low-level algorithm programming languages, particularly embedded domain specific languages (EDSL) such as CUDA, OneAPI, OpenCL, or HDL are a plus. Practical experience understanding algorithmic kernels and models running on accelerated hardware such as GPUs, FPGAs, DSPs, or custom ASICs is a plus. Practical experience understanding algorithmic kernels and models running on accelerated hardware such as GPUs, FPGAs, DSPs, or custom ASICs is relevant and valuable.

Responsibilities & opportunities in this role:

• Develop a deep understanding of Groq's Language Processor Unit (LPU) and our software stack.
• Lead all technical sales activities related to customer engagements from the early stage through the successful design win stages.
• Lead early-stage technical discussions in tandem with sales account managers to present Groq product offerings.
• Uncover and understand customer solutions and identify critical technical and/or business considerations.
• Develop and articulate Groq's unique product value messaging while positioning to target specific customer opportunities.
• Prepare and present demonstrations (demos) and proof points to gain technical credibility and advance the sales engagement.
• Work in partnership with sales account leaders in developing winning technical proposals with Groq products.
• Work closely with Groq's sales, product, and development teams to engage and support customers and partners throughout the globe to ensure the technical experience with our product is outstanding.
• Recommend product enhancements and improvements to Product Marketing teams based on first-hand knowledge and usage.

Ideal candidates have/are:

• Technically curious problem solver with the ability to quickly understand complex technical and business challenges and synthesize and articulate back-identified opportunities.
• Experience with:
  • Computational sciences, physics, or mathematical-centric applications
  • Algorithm programming using languages such as Python, Java, Julia, Haskell, R, C++, Scala, or Matlab programming, and at least one modern machine learning framework.
  • Supporting or using PCIe accelerators such as GPUs, FPGAs, or DSPs from evaluation to production.
  • A strong technical understanding of AI/ML, the targeted applications, and competition.
  • Prior experience working in or with customers in the hyperscale data center, automotive, or high-performance compute (HPC) domains.
  • Strong writer and public speaker; operate with integrity and drive transparency, openness, and effective communication.
  • Comfortable engaging directly with customers, particularly with executive or architect-level engineering leadership

Qualifications for this role:

• MS in CS, CE/EE, Math, or Physics or related discipline with 5+ years in machine learning or similar algorithmic/computational experience in model development or deployment highly desirable. Or, a Ph.D. in computer science, math, or engineering WITH AT LEAST 4 YEARS OF INDUSTRY EXPERIENCE CODING MACHINE LEARNING or computational algorithms will also be considered.
• A proven track record of supporting customers through highly complex design cycles.
• Customer-first mindset. Driven to meet or exceed customer expectations, resolve issues expeditiously, and, when possible, proactively.
• Excellent leadership, mentoring, and cross-functional collaborative and influencing skills.
• Effective communication & and presentation skills and comfortable in a customer-facing environment.
• Able to work in a very dynamic start-up environment.
• Willingness to travel worldwide to customer locations to support customer engagements.
• May require up to 25% travel during peak periods (i.e. one week per month).
• Location Preference: North America. Mt. View, California, New York or DC area preferred.
  • Open to remote locations.

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: 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