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Designs and scales high-performance GPU/TPU clusters for AI training and inference, focusing on distributed systems, scheduling, and performance optimization.
Builds and optimizes high-performance ML systems for TPU hardware using JAX, XLA, and Pallas, focusing on inference/training workloads and compiler/runtime tuning.
Builds and optimizes large-scale AI inference systems for frontier models, focusing on performance, latency, and cost across thousands of GPUs.
Lead Chewy’s Ads Data Science team to build AI-powered ranking, bidding, and optimization systems for onsite and offsite ads, shaping the future of retail media with LLMs and generative AI.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Research and develop multilingual large language models from scratch, including data curation, model architecture, and distributed training on GPU clusters.
Performance Engineer at RadixArk in Palo Alto optimizes LLM inference and training systems for latency, throughput, and cost efficiency across production workloads using SGLang, Miles, and GPU/TPU infrastructure.
Builds and maintains developer-facing tools (APIs, SDKs, dashboards) on top of AI inference/training infrastructure like SGLang and Miles, collaborating with product and research teams to create intuitive interfaces.
Builds and engages the technical community around SGLang and Miles by creating content, speaking at events, and collaborating with developers to optimize AI infrastructure.
Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.
Designs and deploys GPU-powered AI and HPC infrastructure on Civo’s cloud platform, optimizing Kubernetes and bare-metal performance for AI workloads.
Role Summary: We are seeking a Solution Architect - AI Infrastructure to join our fast-scaling team. In this role, you will act as the technical bridge between customers, Product Management, Engineering, Operations,…
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
Build and deploy large-scale AI foundation models for machine-generated data (logs, graphs, time series) to improve reliability, security, and predictive insights across Splunk’s observability and security platforms.
AI Applications Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Optimize AI training and inference workloads for speed, cost, and efficiency across the full stack, from GPU kernels to distributed systems, using Python, C++, and profiling tools.
Define and drive the product strategy for ML training workflows that improve model development speed, training reliability, and developer productivity for GM’s autonomous vehicle platform.
Design and deploy deep-learning perception models for automotive ADAS systems, optimizing neural networks for embedded hardware and real-time performance.
Build and train large language models from scratch for coding assistance, deploying them to production across JetBrains’ developer tools ecosystem.
Build generative and agentic AI models to accelerate drug discovery and biological research at a leading biotech company.
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