Compensation
Salary undisclosedDescription
About Groq
Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU—the first processor designed specifically for AI inference—and are transforming that innovation into a global cloud platform powering production AI workloads.
With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!
Mission:
Own and evolve the Kubernetes platform and adjacent hyperscaler technologies that underpins Groq's cloud infrastructure. You will build reliable, scalable platform capabilities that enable engineering teams to deploy and operate workloads efficiently as Groq's infrastructure grows.
Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You’ll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.
Responsibilities & opportunities in this role:
- Own the architecture, development, reliability, and evolution of Groq's Kubernetes-based platform.
- Design and build Kubernetes-based systems that operate reliably and efficiently at scale.
- Build software, automation, and platform capabilities that simplify how workloads are deployed, operated, and scaled.
- Improve the resilience, observability, performance, and operational efficiency of the Kubernetes platform.
- Identify and eliminate reliability and scalability bottlenecks across clusters and supporting infrastructure.
- Own platform capabilities through their full lifecycle, from design and implementation through production operations and continuous improvement.
- Partner with software and infrastructure engineers to understand workload requirements and translate them into durable platform capabilities.
- Establish and improve Kubernetes engineering patterns, tooling, and operational practices.
- Debug complex production issues spanning Kubernetes, distributed systems, networking, compute, and cloud infrastructure.
- Help shape the technical direction of the platform as its scale and requirements evolve.
Ideal candidates have/are:
- Strong software engineering fundamentals with experience building and operating production infrastructure.
- Deep hands-on experience with Kubernetes and proficiency designing Kubernetes-based architectures.
- Experience owning Kubernetes environments in production, including deployment, scaling, upgrades, reliability, and troubleshooting.
- Experience building software and automation for cloud or infrastructure platforms.
- Strong understanding of distributed systems and the reliability and scalability challenges of operating infrastructure at scale.
- Experience with cloud infrastructure and modern infrastructure-as-code and automation practices.
- Ability to debug complex problems across application, Kubernetes, networking, compute, and infrastructure layers.
- Comfortable taking end-to-end ownership of production systems and making pragmatic architectural tradeoffs.
- Strong collaborator who can partner across engineering teams and translate their needs into scalable platform solutions.
- Motivated by ownership, technical excellence, reliability, and building durable infrastructure.
Why Join Us:
- Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
- Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
- Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
- Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
- Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.
If this sounds like you, we’d love to hear from you!
Compensation
Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary range for this position, which is inclusive of the potential bonus value, is $223,600 - $365,800, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.
#LI-DNI
US Job Posting
This position may require access to technology and/or information subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet certain citizenship or residency criteria. Specifically, they must qualify as U.S. Persons for export control purposes (i.e., U.S. citizen, U.S. lawful permanent resident (Green Card holder), or a protected individual under 8 U.S.C. § 1324b(a)(3) such as a refugee or asylee), or otherwise be eligible for an applicable export license.
Non-US Job Postings
This position may require access to technology and/or information subject to U.S. export control laws and regulations, as well as applicable local laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet all relevant export control eligibility criteria.
Groq is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
Groq complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We do not tolerate discrimination or harassment based on any protected characteristic.
Groq is committed to working with and providing reasonable accommodations to qualified individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at talent@groq.com. This contact is for accommodation requests only, which will be considered on a case-by-case basis.
All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.
Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster.
As part of our hiring process, Groq may use artificial intelligence (“AI”) tools or automated systems to assist with activities such as reviewing applications, evaluating qualifications, scheduling interviews, analyzing assessment responses, or supporting recruiting operations. These tools are designed to assist—not replace—human decision-making, and hiring decisions are subject to human review. We may process information you provide during the application process, including resumes, application materials, interview responses, assessments, and, where applicable, audio, video, or transcript data. If legally required, we will request consent before using technologies that analyze biometric or video interview data. Candidates may request reasonable accommodations, an alternative evaluation process, additional information regarding the use of AI in the hiring process, or review of certain automated decisions by contacting ta-operations@groq.com.
Stack
Distributed SystemsKubernetes
- Posted
- Oct 7, 2026
- Last seen
- Oct 8, 2026
- First seen
- Oct 7, 2026
