…Experience with multi-sensor calibration and fusion - Experience optimizing models for onboard/embedded GPU inference - Background in safety-critical or automotive software development - Experience…

…modalities . Engineer temporal processing modules to improve the stability and consistency of predictions over time. Optimize model architectures for real-time on-vehicle inference…

…and transform large volumes of multi-modal data Implement inference platforms that host or proxy models for live inference, batch annotation, and large-scale…

…Experience with multi-sensor calibration and fusion. - Experience optimizing models for onboard/embedded GPU inference. - Background in safety-critical or automotive software development. - Experience…

…agentic systems, and multi-modal AI solutions they can repeatedly deliver to customers. Hands-on Enablement: Co-build with partner engineering teams through end…

…As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image…

…such as Omniverse, Unreal Engine, Unity, or similar digital-twin platforms. Background in vision-language models or related multi-modal AI, including integrating these…

…quality software. Collaboration: Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams spanning AI, hardware, and safety engineering. Education…

…and remain deeply hands-on with implementation, including modern transformer-based, multi-modal, and vision-language techniques where they add real value. What you…

…KB) and multi-modal retrieval at platform scale Technical Leadership Set technical direction for the agent platform and agentic operations; mentor engineers and drive…

…We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities…

…software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi…

…We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of…

…Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient…

…and mentor other engineers, while remaining deeply hands-on with architecture, algorithms, and implementation, including modern transformer-based, multi-modal, and vision-language techniques…

…software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications…

…supervised and multimodal learning - Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities - Proven ability to…

…fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is…

…Hands-on experience with vector stores (e.g., Amazon OpenSearch Serverless, PostgreSQL pgvector, Pinecone, Weaviate) and embedding optimization. - Multi-modal AI: Experience working with…

…grade software design, scalability, and data structures. Framework Proficiency: Expert-level hands-on experience with PyTorch and deep familiarity with multi-modal data processing…

About the Role We are looking for a Staff/Lead Software Engineer, AI Infrastructure, to play a critical role in building and scaling the…

…We solve foundational challenges including schema-agnostic multi-modal understanding, efficient inference at order-of-magnitude cost reduction, and rapid innovation through automated experimentation…

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that…

…inference infrastructure. We prefer: PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal…

…Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and…