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Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job…
At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with software and hardware. In this Solutions Architect role,…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless…
AI Software Developer on LTA's Transport AI Programme, building and maintaining production-grade AI applications for Singapore's land transport network — integrating LLMs, computer vision, RAG pipelines and agentic systems into operational workflows. Core stack: Python, PyTorch, LangChain/LlamaIndex, vLLM/TensorRT-LLM, cloud (AWS/Azure/GCP), Docker/Kubernetes and CI/CD.
Senior Data Engineer building generative-AI capabilities for the company's scenario planning and analysis platform (Anaplan). Day to day: LLM integration, prompt engineering, RAG and agentic systems, designing the retrieval/knowledge layer (vector and graph databases, knowledge graphs), plus evaluation and feature pipelines. Requires strong Python, ML, and MLOps/LLMOps expertise.
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
ML infrastructure/systems engineer at Nuance Labs owning end-to-end inference optimization for real-time AI avatar models (LLMs, audio, diffusion) — tuning KV cache strategies, deploying serving frameworks like vLLM and TensorRT-LLM, applying quantization, and profiling latency/throughput. On-site in Seattle 5 days/week with relocation and visa support.
Develops and deploys deep-learning perception algorithms (object detection/tracking, anomaly detection, LiDAR segmentation) for autonomous inspection robots, optimizing models for NVIDIA Jetson edge hardware and integrating them via ROS. Works across the full pipeline: data annotation, MLOps with GitLab/MLflow, and cloud training/inference on AWS (SageMaker, Bedrock).
Remote (Pakistan-based) senior engineer at CloudPSO designing, training, and deploying speech AI models (STT/NLU/TTS) for a Voice Agent platform with MLOps pipelines, while also building Android/iOS apps and frontend prototypes. Core stack: Python, PyTorch/TensorFlow, ONNX/TensorRT, Kotlin, Swift, and React.
Early-career research engineer at MIT Lincoln Laboratory developing, optimizing, and deploying machine learning models on resource-constrained edge/embedded platforms for national security applications, working with Python, PyTorch, and edge AI toolchains like TensorRT, ONNX Runtime, and CUDA.
Staff Software Engineer to lead Beacon AI's AWS cloud foundation and LLM platform: designing IaC-based infrastructure, CI/CD, RAG/vector-search data systems, model endpoints (Bedrock/SageMaker), and eval/observability tooling for aviation AI products. Core stack is AWS (Terraform/CDK), Python, and LangChain; hybrid role based in San Carlos, CA.
Senior engineer who designs, builds, and operates Beacon AI's AWS cloud foundation and LLM platform — IaC-managed infrastructure, CI/CD, secure networking, RAG/vector-search data systems, model endpoints (Bedrock/SageMaker), and observability for AI-powered aviation products. Hybrid role based in San Carlos, CA.
Builds and maintains the ML infrastructure behind Mach9's production AI models for civil engineering and surveying: versioning training data, orchestrating training pipelines over hundreds of terabytes of 3D point cloud and image data, and optimizing real-time inference services, primarily with Python and PyTorch.
Senior ML engineer on Apple's Cloud AI platform team in Seattle, building managed serverless AI infrastructure that spans the full ML lifecycle — data/feature engineering, embeddings and retrieval, model training, and inference optimization and routing. Day to day is production platform work at the intersection of ML, distributed systems, and Python/Rust/Java engineering.
Prototypes and deploys learning-based AI on real construction-layout robots — building perception, Vision-Language-Action models, and training/data pipelines that work outside the lab — combining classical robotics with ML using C++, Python, PyTorch, and ROS on real-world sensor data.
Sphere Partners is hiring a remote AI/LLM Systems Engineer to lead AI-first product development for clients, covering LLM application architecture, RAG pipelines, multi-agent workflows, and production inference optimization (batching, quantization, benchmarking with vLLM/TensorRT-LLM/Triton). Contract/staff-augmentation engagement, fully remote from anywhere.
As a Forward Deployed Engineer at Inferact, you work hands-on inside customer environments to deploy, integrate, debug, and optimize vLLM-powered AI inference systems across cloud, Kubernetes, GPU, and networking stacks, then turn field learnings into reusable product capabilities.
Wayve is hiring a Staff ML Engineer for its Model Integration and Release team in London to own the release process for its autonomous driving models — defining branching/release workflows, reviewing model and code changes, and building CI/CD pipelines, evaluation tooling, and monitoring. Core tech includes PyTorch, TensorRT, GitHub Actions, and model deployment/registry tooling.
Senior ML Engineer on Wayve's ML Optimisation (AI Performance) team in London, owning end-to-end delivery of production-ready model releases for autonomous driving — training and iterating PyTorch models and applying quantisation, distillation and low-rank optimisation so models meet tight on-vehicle runtime and latency constraints.
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