Senior Software Engineer, AI Platform - Robotics

US, CA, Santa Clara

NVIDIA

NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.

View all jobs at NVIDIA

Apply now Apply later

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.

What you’ll be doing:

  • 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.

What we need to see:

  • 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 system 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!

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Apply now Apply later
  • Share this job via
  • or
Job stats:  1  0  0

Tags: AWS Azure Computer Science Computer Vision Docker Engineering GCP GPU Industrial Kubernetes PhD Python Research Robotics Testing

Perks/benefits: Equity / stock options

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.