The Hardware Infrastructure team in Groq is responsible for architecting and supporting a world class pre- and post-silicon ASIC development and verification environments that optimizes the productivity of our hardware and software engineering teams. Work closely with our systems engineering team to bring up and deploy new hardware product platforms including integrating those new platforms into established build, delivery, and verification frameworks. Automate and integrate flows into Groq’s overall infrastructure to streamline our development cycle.
As part of the Infrastructure Team, you will drive the implementation of core cloud infrastructure and platform for cloud-native applications, create tools and services that power Engineering teams, and collaborate with them, influencing the design and delivery of our footprint. The Cloud Infrastructure team provides the components that enable engineering productivity.
As part of the AWS MS Engineering development team, working REMOTELY in the US, you will work with our enterprise-level clients providing medium to advanced troubleshooting support services in AWS Serverless Concepts and Services. Our engineers will work with established customers to maintain the recurring revenue center in business. Works with a variety of clients and projects to maintain customer system performance. Builds and customizes new features in client systems, including web applications, reporting applications, and troubleshooting tools.
As part of the AWS MS Engineering development team, you will work with enterprise-level clients providing medium to advanced troubleshooting support services in AWS Serverless Concepts and Services. Our engineers will work with established customers to maintain the recurring revenue center in business. Works with a variety of clients and projects to maintain customer system performance.
The ML Infra Engineer will build and scale the platform that powers low-latency, high-throughput ML model inference in production. You’ll design, deploy, and maintain model-serving infrastructure, APIs, and orchestration workflows. The Pricing team is responsible for determining the best price for all hotel rooms, flights, and rental cars sold on the platform.
The DevOps/Site Reliability Engineer (SRE) is responsible for architecting, implementing, and maintaining robust cloud-native infrastructure and deployment pipelines with a focus on reliability, scalability, and automation. This role requires experience with AWS, Kubernetes (EKS), ArgoCD, GitHub, and familiarity with development languages such as Kotlin, Python, and Bash. The engineer will collaborate closely with software development and operations teams to ensure continuous delivery, system reliability, and rapid incident response.
Play a pivotal role in using the hardware design platform to generate the training data to enhance enterprise LLMs' capabilities. This unique position offers the chance to directly contribute to the sophistication of enterprise LLMs, ensuring they operate with unparalleled efficiency and intelligence. Develop, configure, and customize the hardware design platform, utilizing it to generate vital training data for enterprise LLMs.
This position is filled in the IoT Technology team, working on big data, data analytics, data sharing and IoT solution implementation projects. You will develop, document, integrate and deploy Infrastructure-As-Code into Multiple and Staged Cloud Runtime Environments. Also, you will coordinate security measures in various layers of a resource management product.
Seeking a Senior DevOps Engineer to lead the evolution of Tenna’s cloud infrastructure. You will help shape DevOps practices, drive innovation across systems architecture, and enable the Engineering Team to deliver highly available, secure, and scalable services. As a senior member, you will be hands-on in developing automation solutions, optimizing performance and cost efficiency, and mentoring the team on modern DevOps best practices.
Solve complex reliability problems at scale as a Senior SRE. You will join our SRE team, supporting both our developers and the AlphaSense platform, and working on platforming and tooling with the freedom to propose and experiment with solutions. The scale of our operations presents unique challenges, requiring us to adapt open-source solutions to fit our needs.