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The Opportunity: Federal Sherpa is uniquely positioned to support the United States Army's Mission Command Training Program (MCTP) at Fort Leavenworth, KS by delivering strategic program and project management…
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to…
Designs and oversees large-scale AI/ML production systems, optimizing GPU performance, distributed training, and inference pipelines to deploy advanced models reliably at scale.
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of…
The Senior Machine Learning Engineer will design and build scalable AI/ML platform infrastructure to support distributed model training for intelligent driving technologies. The role involves optimizing training performance and collaborating with research teams using Python, PyTorch, and cloud-based distributed computing environments.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
Build and operate MLOps platforms on AWS for autonomous driving ML workloads, implementing ML pipelines with Airflow and MLflow, managing multi-GPU training, and maintaining infrastructure using Kubernetes/EKS, Terraform, and Python.
Staff Software Engineer leading the design and evolution of Stripe’s ML Platform, building scalable infrastructure for ML training, model serving, and AI workflows to power Stripe’s fintech products.
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice…
Overview Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will…
Builds and scales the ML compute platform for autonomous driving, focusing on Kubernetes-based orchestration, distributed training, and resource governance using tools like Argo Workflows and Ray.
The Engineering Manager will lead the Network Security team at Anthropic, overseeing the design and implementation of secure networking controls for cloud and bare-metal data centers. This role involves managing senior engineers, setting security strategy, and ensuring secure-by-default infrastructure to support large-scale AI research and production environments.
Why this role exists K0rdent AI is the orchestration layer that turns raw, disaggregated GPU infrastructure into a multi-tenant, production-ready AI cloud — without locking companies into a single hyperscaler or…
The Associate Director of Platform Engineering will lead the team managing hybrid compute infrastructure, developer platforms, and scientific compute environments for drug discovery. The role involves setting architectural strategy for Kubernetes-based clusters and MLOps pipelines while collaborating with data science and engineering teams.
The Software Golang Engineer will design and build a managed Slurm service on Kubernetes, focusing on scheduling and orchestration for GPU-intensive workloads. The role involves developing observability and remediation tools using Go and cloud-native technologies.
The AI/ML ASIC Architect will design and define architecture specifications for next-generation AI storage and accelerator solutions, focusing on I/O subsystems and high-performance interfaces like PCIe, CXL, and UCIe. The role involves collaborating with cross-functional teams to optimize performance, power, and area for large-scale LLM training and inference workloads.
The Technical Architect will design and implement scalable, fault-tolerant AI systems on Google Cloud, bridging the gap between research and production. The role involves leading MLOps lifecycles, defining compute strategies for AI workloads, and mentoring teams to build resilient, cloud-native architectures.
We currently have a career opportunity for an Technical Architect to join our team located in New York. Job Overview: We are seeking a distinguished technical leader to architect the next generation of our platform on…
The Role Training robot foundation models is expensive and iteration speed is everything: the faster our robotics engineers can launch a job, get results, and try the next idea, the faster the whole company moves. We…
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
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