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.
Hands-on role building and managing ETL/ELT pipelines, integrating ADF with Azure services and on-premise data sources. Strong expertise in deploying and managing Confluent Kafka for real-time data streaming. Proficiency in designing and maintaining CI/CD pipelines using Azure DevOps. Skilled in designing, securing, and managing APIs using APIM.
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.
As Lead Engineer for Cortex’s Platform, you will play a pivotal role in defining the architecture of our infrastructure. Working closely with engineering and product, you will spearhead the development of foundational platforms that ensure scalability, reliability, and efficiency for our growing customer base.
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.
Embark on a pioneering journey to drive air freight and logistics digital transformation. As a Cloud Infrastructure Engineer, you will engage with diverse stakeholders, contributing to our company cloud infrastructure, and ensuring the quality of the work. You will take charge of the infrastructure that runs our software platform, operating a lean multicloud platform that allows us to run workloads according to their needs.