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Senior ML engineer building scalable GenAI inference pipelines and APIs that power Adobe’s Firefly, Photoshop, and other creative tools using PyTorch, CUDA, and diffusion models.
Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
Who we are looking for: As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize…
Build and maintain the embedded Linux OS that runs Zoox’s autonomous vehicle systems, using Yocto, U-Boot, C/C++, and Rust to optimize performance and reliability.
Builds and optimizes large-scale AI infrastructure, including Kubernetes clusters, RDMA networking, and GPU orchestration to improve efficiency and scalability of AI training/inference systems.
Build and maintain scalable data pipelines on AWS and Snowflake, integrating vector/graph databases with AI workflows using Python and SQL.
Develop and maintain microscopy-control software for advanced light- and electron-microscopy platforms, integrating hardware and enabling automation and real-time data workflows.
Build and optimize perception algorithms for self-driving vehicles using camera, lidar, and radar data, deploying models to autonomous fleets.
Optimize LLM inference performance on Intel GPUs by profiling bottlenecks, writing custom kernels, and contributing to open-source serving frameworks like vLLM and SGLang.
Builds next-gen autonomous-vehicle software that blends classical safety stacks with large-scale AI models, covering perception through control and system-level safety.
Builds GPU development and verification frameworks in C++ to generate stimulus, debug, and analyze performance for next-gen NVIDIA GPUs.
Lead developer relations for NVIDIA’s quantum computing stack, engaging federal labs and researchers to drive adoption of CUDA-Q and related tools through workshops, collaborations, and technical evangelism.
Design and recommend AI infrastructure solutions using NVIDIA DGX and OEM platforms, collaborating with sales and customers to translate needs into optimized GPU-accelerated data center setups.
Build and scale IQVIA’s Orion GenAI platform, designing architectures for transformer models, RAG, and AI agents while shielding teams from low-level complexity.
Build and scale IQVIA’s Orion GenAI platform, designing robust architectures for transformer models, RAG, and AI agents while abstracting complexity for application teams.
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities…
Join UXV Technologies as an Embedded Linux Developer Are you passionate about high-quality, innovative technologies and driven to make a real impact in defense, robotics, and autonomous systems? At UXV Technologies, we…
Senior engineer debugging and optimizing NVIDIA’s high-speed AI cluster networks (InfiniBand, NVLink, Spectrum-X) using C, Python, and Linux internals to resolve customer issues and tune performance.
NVIDIA’s accelerated computing platform relies on continuous performance excellence at every stage of development. We are seeking an outstanding Performance Analysis Manager to lead an engineering team responsible for…
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