Senior Software Engineer, AI Platform - Robotics
at Nvidia
📍 Santa Clara, United States
$148,000-276,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 4 Kubernetes @ 4 Python @ 6 GCP @ 4 Algorithms @ 4 AWS @ 4 Azure @ 4 Communication @ 7Details
We are now looking for a senior software engineer for our Robotics Team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, research, and autonomous machines. The team is building a robotics platform for developing the next generation of intelligent robots. NVIDIA’s Isaac Robotics Platform is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to address hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens of different fields, and together we want to change the way robots are programmed.
Responsibilities
- Lead the design & development of an AI platform to enable industrial grade robotics solution
- Deploy solutions to enable customers to run their AI workflows on the platform
- Debug, and optimize full software stack from front-end to backend
- Work closely with dependent teams to drive the project.
- Responsible for issue management during integration, testing, deployment & quality assurance.
Requirements
- BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
- 5+ years of work experience. At least 2+ years of experience working on cloud platforms
- Experience with Docker & Kubernetes used for scalable fault-tolerant service deployments
- Excellent Python programming skills & proficient in other scripting languages
- Strong data skills & software design
- Ability to learn fast & debug complex system issues
- Ability to adapt quickly to varying roles & responsibilities
- Strong communication skills & ability to work across teams
Ways to stand out from the crowd:
- Proficiency with container orchestration systems such as Kubernetes
- Deployment with various cloud service providers such as AWS, GCP and Microsoft Azure
- Hands-on experience building data platform to scale the AI workflows
- Display technical ownership in a cross organizational, multi-disciplinary team.
- Practice leading a software project involving 4 or more engineers.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!