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Build low-level middleware APIs for NVIDIA’s DRIVE (autonomous vehicles) and Jetson (robotics) platforms, enabling safe, high-performance data sharing across GPUs, CPUs, and accelerators.
Build autonomous AI coding agents that generate, evaluate, and optimize high-performance code using NVIDIA’s GPU stack and distributed systems.
Forward Deployment Engineering Manager Location: United States Department: Strategy & Ecosystem About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a…
Build and maintain the distributed training and inference infrastructure that powers a startup’s AI research, using PyTorch, vLLM/SGLang, and GPU schedulers to scale physics-discovery models.
Principal Machine Learning Engineer Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Builds and optimizes the host software stack for Etched’s AI chips, writing high-performance Rust, C++, and Python code to accelerate transformer inference and distributed serving.
Build and scale distributed systems that power low-latency AI inference for a physical-world LLM platform, optimizing GPU clusters and cloud infrastructure.
Develop and optimize GPU-based rendering and machine learning components for real-time visual applications, integrating ML models into graphics pipelines using DX12/Vulkan and ONNX/TensorRT, while profiling and tuning for performance.
Builds automated data pipelines for autonomous-vehicle perception models, including mining, preprocessing, auto-labeling, and ground-truth generation on NVIDIA’s DRIVE platform using Python, C++, CUDA, and deep-learning frameworks.
Develop and optimize high-performance geophysical algorithms for seismic processing and imaging using C/C++ and parallel computing on GPU/CPU architectures.
Develop and optimize high-performance geophysical algorithms for seismic processing and imaging on GPU/CPU architectures using C/C++ and parallel computing tools like MPI and CUDA.
[Job-30851] Master Software Developer/Devops (NVIDIA knowledge), Colombia Team: Prod_Centaurus+ Location: Colombia Commitment: Homeoffice Workplace Type: remote At CI&T, we help large enterprises transform the…
[Job-30851] Master Software Developer/Devops (NVIDIA knowledge), Brazil Team: Prod_Centaurus+ Location: Brazil Commitment: Homeoffice Workplace Type: remote At CI&T, we help large enterprises transform the…
Embed with AI labs to onboard, tune, and debug large-scale training/inference workloads on GPU clusters, owning reliability and automation for distributed systems.
Build and secure the cloud, container and networking backbone that lets Sunrise’s robotics cells deploy, update and run reliably at customer sites, using Linux, cloud IaaC and monitoring tooling.
Principal Machine Learning Engineer at Upstart builds and scales AI-driven credit underwriting infrastructure, designing ML platforms that accelerate model development and deployment for a fintech lending marketplace.
Lead Software Engineer Location: NOTTINGHAM 01 Time Type: Full time Job Description At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal…
Design and deploy NVIDIA cuOpt-based routing solutions on Azure, optimizing GPU-accelerated compute for large-scale delivery optimization workloads.
Design and deploy GPU-accelerated routing optimization solutions using NVIDIA cuOpt on Azure, tuning performance and scaling infrastructure for high-volume logistics workloads.
Location: San Diego, CA Job Type: Full-Time Salary Range: $202,000 – 215,000 Position Overview We are building a product where learned models and compute-heavy inference components have to run inside a tight local…
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