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Hand-write and optimize GPU kernels across NVIDIA, AMD, TPU, and Trainium for pre-training, inference, and post-training workloads, then encode those optimizations into searchable compiler structures using C++, CUDA, and ISA-level tooling.
Build and extend a search-based GPU compiler (MLIR, LLVM backend) that automatically optimizes AI training/inference kernels across NVIDIA, AMD, TPU, and Trainium targets, working the full pipeline from StableHLO ingestion to direct cubin emission.
The AI Solutions Architect translates customer requirements into concrete AI solution designs and reference architectures while coordinating proof-of-concept engagements. This pre-sales role works with executive and consulting teams to deliver scalable AI solutions.
The Principal Solution Architect will lead the strategy and delivery of data center and AI infrastructure projects while managing a team of architects and analysts. The role focuses on driving revenue growth through high-impact technical solutions and executive-level partnerships.
Senior engineer building open-source AI/ML integrations and tooling for Aerospike's distributed database, with a DevOps/SRE focus on scalability and reliability using Go, Python, Java, Scala, C/C++, Kubernetes, and Docker.
The Staff DevOps Engineer will design, deploy, and maintain scalable infrastructure for AI model training and inference using Kubernetes, Pulumi, and Terraform. The role focuses on building resilient, observable platforms to accelerate simulation workflows and improve developer velocity.
The Staff DevOps Engineer will design, deploy, and maintain the SimAI platform infrastructure, focusing on scaling GPU/CPU resources for AI model training and improving CI/CD and observability. The role involves working with Kubernetes, Pulumi, Terraform, and distributed systems to ensure platform reliability and developer velocity.
The DevOps Engineer will design and manage cloud infrastructure on Microsoft Azure using Terraform, Kubernetes, and CI/CD pipelines. The role focuses on automating deployments and optimizing cloud services in a fully remote environment.
NTT DATA is seeking a Full Stack Developer to build and maintain scalable web applications using Angular and Java. The role involves integrating Generative AI technologies into development workflows and collaborating within an international, agile team.
This DevOps and SRE role involves designing automation tools, managing CI/CD pipelines, and maintaining infrastructure for an international banking client. The position requires strong Python and FastAPI development skills alongside expertise in Jenkins, Ansible, and SQL databases.
The Data Engineer will design and implement scalable data ingestion pipelines for an automotive client using Python, Airflow, and SQL within a cloud environment. The role focuses on building ETL processes to support cloud platform data modeling and production indicators.
The Cloud Infra & DevOps Engineer will design, deploy, and secure Google Cloud infrastructure, focusing on API management, identity security, and CI/CD automation. The role involves managing network architecture and cloud services to ensure scalability and security across multiple projects.
The Data Engineer will build and maintain scalable data pipelines to integrate Machine Learning model predictions into production data products. The role involves using Python, SQL, Spark, and Databricks within a hybrid work environment in Barcelona.
MindMatch is seeking a Java Developer with experience in intralogistics and Warehouse Control Systems (WCS) to work on international projects. The role requires strong Java proficiency and a C1 level of English to collaborate with a global team.
Silver.dev is seeking a Senior Full-Stack Engineer in Argentina to design scalable architectures and integrate generative AI into the development lifecycle. The role involves collaborating with engineering and business teams to build high-quality product features.
Taligent is seeking a Semi-Senior Data Engineer to design and maintain scalable cloud data pipelines for analytics and AI. The role involves working with heterogeneous data sources and developing APIs to support predictive models and visualization tools.
The Snowflake Data Engineer will build and maintain cloud-native data ingestion and ELT pipelines on AWS and Snowflake. The role involves collaborating with cross-functional teams to develop and deploy production-ready data solutions and dimensional models.
This role involves building and maintaining cloud-native data pipelines and dimensional data models on AWS and Snowflake. The engineer will collaborate with cross-functional teams to ensure reliable data ingestion, transformation, and operational readiness.
The Linux Systems Engineer manages production environments, focusing on system patching, security, virtualization, and high-availability setups. The role leverages Linux expertise alongside cloud technologies like Docker and Kubernetes to ensure system reliability and scalability.
Backend developer building and maintaining Java/SpringBoot-based services and RESTful APIs, working with teams to translate requirements into scalable features, and participating in deployment and automation processes.
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