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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.
Build and maintain the backend and API platform powering SGLang and Miles, including REST/gRPC services, authentication, multi-tenancy, and monitoring for AI infrastructure.
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.
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference…
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Build and improve Wayve’s Gaia video world model, training large-scale ML models to predict future driving frames and generate synthetic scenarios for autonomous vehicles.
Senior Backend Engineer builds and scales distributed systems for AI training, experiment management, and developer tooling at a platform company.
Build and optimize distributed training systems for large neural networks (LLMs, diffusion, SSMs) across GPU clusters, focusing on throughput, stability, and fault tolerance using PyTorch, Megatron-LM, and DeepSpeed.
Researches and builds 3D computer vision and SLAM systems for autonomous robots, focusing on perception pipelines, navigation, and manipulation in real-world environments.
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 deploy India’s open healthcare foundation model: train a 30B-parameter MoE on 500B+ Indic-language tokens, then ship fast inference and robust evals for doctors and government use.
Research and post-train large language models for healthcare, adapting them to Indian languages and clinical workflows using SFT, preference optimization, and RL with physician feedback.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Build and optimize distributed AI training systems, profiling bottlenecks in PyTorch stacks and low-level GPU kernels to speed up model convergence.
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, MLflow, and CI/CD pipelines.
Build generative and predictive ML models to decode cellular behavior and guide drug discovery using single-cell multi-omics and perturbation data.
Senior backend engineer building distributed AI training infrastructure and orchestration services to support scalable model development and experimentation.
Senior engineer building backend systems for AI agent orchestration and distributed training at Lightning AI, the creators of PyTorch Lightning.
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