Senior Software Engineer, Ai Platform - Robotics

Details of the offer

Senior Software Engineer, AI Platform - RoboticsNVIDIA Published 27 Aug 2024
Share this job Santa Clara, CA, USA
$148000-$276000 annually
Full Time
Role Highlights Python
AI
Computer Vision
Computer Science
Integrations
QA
Software Design
Electrical Engineering
Computer Graphics
Robotics
Gaming
Research
Frontend
Testing
Deployment
PhD
Cloud
Scripting
Data
Tools, Libraries and Frameworks GPUs
Docker
AWS
GCP
Description The company is focused on advancing the field of robotics through the development of an AI platform that supports industrial-grade robotics solutions. The role involves leading the design and development of this platform, enabling clients to run their AI workflows efficiently. The team integrates visual and physical simulation, employing sophisticated algorithms in computer vision and artificial intelligence. The goal is to revolutionize how robotics is programmed, leveraging collaborative efforts from experts across various disciplines.
Required Qualifications and Skills A BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field is required. Applicants must have a minimum of five years of work experience, including at least two years with cloud platforms. Proficiency in Python and experience with Docker and Kubernetes for scalable deployments are essential. Candidates should also possess strong data skills, the ability to debug complex systems, and effective communication skills for collaboration across teams.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Share & DisclaimerShare this jobDisclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

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