
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 April 29
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Build highly scalable, robust, and efficient CI/CD frameworks. • The workload is data intensive and requires CPU/GPU heterogeneous computation. • Build world-class visualization tools for analyzing and optimizing for all our datasets and compute jobs (across 10s of thousands of GPUs) • Develop and apply AI agents to significantly improve programming efficiency within the team, and decrease the human effort in fixing job failures • Overall, collaborate with researchers to gather requirements, understand tooling / visualization / automation needs, and deliver full-stack solutions that move the needle with speed of light.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience • 12 + years of full-time industry experience in large-scale MLOps and AI infrastructure. • Strong experience in full-stack software development, with a focus on building CI/CD or visualization tools. • Proficient in both front-end and back-end programming with Python, JavaScript, SQL, or similar. • Familiar with modern web front/back end technologies like React, Node.js. • Knowledge of GPU technologies like CUDA and NCCL • Bonus: experience with PyTorch, Ray, Kubernetes
• equity • benefits
Apply Now🕒 April 29
Robotics Implementation Lead overseeing deployment, optimization, and operational success of robotic cleaning solutions for KBS. Managing training, troubleshooting, and collaboration with engineering and field teams.
🗣️🇪🇸 Spanish Required
🕒 April 24
10,000+ employees
Quadient (GMC) Inspire Developer creating automated customer workflows and enhancing communication processes. Collaborate with cross-functional teams to implement and resolve issues in Process Automation and Designer.
🇺🇸 United States – Remote
💵 $105k - $120k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Robotics
🦅 H1B Visa Sponsor
🕒 April 21
Founder position leveraging expertise to build AI Native services in robotics. Focus on creating foundational infrastructure for sensor fusion across robotics verticals.
🕒 April 21
RPA Engineer at Ardent analyzing user needs and developing software solutions. Responsible for complex systems architecture related to automation and telecommunications.
🕒 April 15
Robotics Engineer developing and deploying robotic solutions for industrial automation. Focused on improving operational efficiency, accuracy, and scalability in fulfillment and manufacturing environments.