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CUDA-разработчик (инфраструктура и ускорение вычислений) в Автономный транспорт
Наша команда разрабатывает вычислительное ядро для направления автономного транспорта. Ищем сильного CUDA-разработчика. Откликайтесь, если профессионально пишете на CUDA и C++, понимаете модель исполнения GPU и…
Director Strategic Partnerships (Semiconductor)
About Ethernovia, Inc. Ethernovia is developing the future of Ethernet-based networks to realize the full potential of software-defined and autonomous vehicles, robotics and other intelligent machines. Founded in 2018,…


Senior Developer Relations Manager - Conglomerates
Lead Developer Relations for NVIDIA in India, engaging AI Labs and conglomerates to adopt NVIDIA’s AI platforms through demos, workshops, and technical guidance.
Staff Software Engineer - AV Labs
About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data…


NVIDIA 2027 Internships: Software Engineering
By submitting your resume, you acknowledge that your 2027 Software Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll…


NVIDIA 2027 Internships: Systems Software Engineering
By submitting your resume, you acknowledge that your 2027 Systems Software Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of…


NVIDIA 2027 Internships: Deep Learning Computer Architecture
NVIDIA is seeking interns for their Deep Learning Computer Architecture teams to work on projects involving GPU/CPU architecture, performance modeling, and parallel programming. Interns will utilize technologies such as C++, CUDA, and deep learning frameworks to solve complex computing challenges.


NVIDIA 2027 Internships: Deep Learning
NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
Senior Software Engineer
Builds C++ applications and test frameworks for defence/commercial sensor systems, integrating hardware interfaces and GUI/UX under Agile workflows.
Senior DIC Software Development Engineer
Senior software engineer designing and optimizing 2D/3D Digital Image Correlation algorithms and real-time imaging software for materials testing systems, using C++, MATLAB, and GPU acceleration (CUDA/OpenCL).
Senior Software Engineer (Onsite)
Senior Software Engineer developing high-performance C++ applications on Linux/Unix for defense systems at RTX in Huntsville, AL, supporting the full SDLC with Agile and DevSecOps practices.


Deep Learning Compiler Engineer
Design and implement compiler transformations for CUDA Tile, an MLIR-based tile programming model, optimizing GPU kernel performance across NVIDIA architectures using C/C++.


Senior Software QA Test Development Engineer - Diagnostics
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well…
Principal Edge Architect - Platform
Designs and leads the architecture of an edge platform for autonomous construction machines, integrating AI, perception, and real-time data processing to enable scalable, secure, and reliable autonomy solutions across Caterpillar’s fleet.
AI Research Engineer
Location: Bengaluru | Work Mode: On-site | Employment: Full-time Role Overview We are looking for an AI Research Engineer to work on advanced Computer Vision, Generative AI, Vision-Language Models (VLMs), and…
Campus AI Research Engineer – Deep Learning (Full-Time)
Research engineer builds and deploys deep-learning models for financial markets, using Python/C++/CUDA and PyTorch/JAX to optimize HPC pipelines and integrate low-latency systems.
Campus AI Research Engineer (Full-Time)
Research engineer builds and optimizes AI/ML systems for quantitative finance, integrating models into low-latency trading pipelines using Python, C++, and GPU frameworks.