**Enhance the Security of Future Endoscopy Solutions **Are you passionate about cybersecurity and interested in protecting innovative medical technologies that help clinicians improve patient care? We are looking for a…
The specific pay rate and level will depend on the successful candidate’s qualifications, prior experience and location. This is a remote position that requires regular field activity and national travel. The employee…
(Internally titled Key Account Executive) Responsible for managing and growing an assigned portfolio of customers with less than US$250K in committed revenue, while developing new business opportunities. The role…
Designs and secures public-cloud web and database hosting for Johns Hopkins' 1,600+ sites and applications, leading DevSecOps architecture, infrastructure-as-code, CI/CD pipelines, containerization, and AI/ML hosting research, with on-call support.
Develops and debugs low-level software and Board Support Packages for high-performance networking devices using C, Linux kernel programming, and Python, while using AI coding tools to build and maintain a client testing tool across router platforms.
Designs and optimizes high-performance CUDA kernels and GPU libraries for AI training, inference, and HPC workloads. Works with ML engineers to profile production GPU systems using Nsight and NCCL, shipping performance improvements in C++/CUDA, PyTorch, JAX, or Triton.
Senior SAP Consultant (w/m/d) – SAP EPPM (PS, PPM, CPM)In Voll- oder TeilzeitAls NTT DATA Business Solutions treiben wir Innovationen voran – von der Beratung und Implementierung bis hin zu Managed Services und darüber…
In Voll- oder TeilzeitAls NTT DATA Business Solutions treiben wir Innovationen voran – von der Beratung und Implementierung bis hin zu Managed Services und darüber hinaus, gestützt von einem globalen Team von über…
Designs, builds, and operates the GPU/accelerator platform layer for large-scale AI training and inference, including scheduling, storage, networking, and developer tooling for ML engineers. Uses Python, Go/C++, Kubernetes, Slurm/Ray, and cloud ML infrastructure; 100% remote U.S. role.
At Element Biosciences, we are passionate about our mission to develop high performing products to study genomics with unprecedented flexibility and quality that enable researchers to better understand biology for the…
Senior Software Engineer will lead OpenMined's ScreamingFace squad, building the open-source toolkit and leaderboard for fusion model benchmarks. Role involves distributed Python systems, AI agent workflows, and technical leadership to scale production-grade open-source infrastructure.
Technical Cloud Architect designs end-to-end cloud solutions, leads architecture reviews, and drives migrations and FinOps for a U.S. technology consulting firm. Day-to-day work centers on AWS, Azure, or GCP, plus cloud networking, security, identity, containers, and serverless, while mentoring engineering teams.
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible…
The engineer will join a network automation project at CodiLime, building Java backends and APIs that transform XML/XPath network feature definitions into maintainable implementations. Day-to-day work includes backend development, AI-assisted code generation and validation, testing, and troubleshooting in cloud environments alongside QA and architects.
The Systems Engineer – Platform Deployment Operations plans and deploys SPHEREboard infrastructure into new regions and secure zones for enterprise clients. Day to day, they provision VMs with Terraform, configure Windows/Linux, SQL Server, networking, SSL/TLS, and storage connectors, and partner with client teams to keep the platform healthy.
Infrastructure Engineer focusing on Terraform automation for cloud/hybrid environments: design reusable modules, harden CI/CD pipelines, enforce policy-as-code, and standardize infrastructure delivery across teams and cloud providers. Requires deep production Terraform experience, strong scripting (Python/Go/Bash), and software engineering discipline.
Designs, builds, and operates Microsoft Azure cloud environments for a U.S. technology consulting firm, managing infrastructure-as-code, AKS clusters, CI/CD pipelines, and cloud security using Terraform, Bicep, Azure DevOps/GitHub Actions, PowerShell, Bash, and Python.
Member of Technical Staff for Model Training infrastructure and platform at Xperteez Technology. The role involves architecting and scaling distributed systems for supervised fine-tuning, reinforcement learning, and distillation across GPU clusters, owning inference optimization, experiment tracking, and platform architecture for AI research teams, using Python and systems languages such as C++, R
Builds and scales distributed GPU infrastructure for large-scale model training (SFT, RL, distillation) and agent execution platforms, optimizing PyTorch/DeepSpeed/Ray pipelines, inference engines (vLLM, TensorRT-LLM), and Kubernetes-orchestrated clusters. Owns architecture from distributed training to experiment tracking and fault recovery.
Designs and governs cloud-native architectures across compute, networking, data, identity, and security on a major cloud platform (AWS/Azure/GCP), collaborating with stakeholders and engineering teams to deliver scalable, cost-effective enterprise solutions. Requires 8+ years experience and cloud architecture certification.
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