Senior Web Software Engineer, AI Infrastructure
At a glance
Senior ML Platform & Ops role at NVIDIA. China, Shanghai · full-time.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build dependable distributed systems that support AI infrastructure and deep learning work
- Create microservices and pipelines to mine, transform and combine petabyte-scale datasets
- Work with deep learning teams to shape a platform that helps developers and researchers work more effectively
- Develop diagnostic tools for investigating autonomous vehicle system problems
- Improve the platform experience by working with its users
What you bring
- A bachelor's or master's degree in computer science, software engineering or a related field
- At least eight years designing and building distributed systems professionally
- Strong grounding in software fundamentals, including algorithms, data structures and computer architecture
- Practical experience with big data platforms such as Spark and large-scale batch or streaming pipelines
- Expert skill in Go, Python or Java
Who this fits
This senior role suits an experienced engineer who enjoys building distributed systems and working with deep learning teams and platform users. It calls for cross-team collaboration and technical communication.
From the employer
NVIDIA is seeking a Senior Web Software Engineer to join us to design and build our versatile, highly scaled AI infrastructure and deep learning platform for autonomous vehicles. In this role, you will work together with global teams, contribute your talents to our next generation AI infrastructure, help our customers to build their products and change the world.
What you’ll be doing:
- Design and develop scalable, reliable distributed systems that power our AI infrastructure and deep learning platform.
- Design and develop microservices, data pipelines for mining, transforming, and composing petabyte-scale datasets.
- Collaborate with deep learning teams to understand their needs and build a future-ready platform that improves developer and researcher productivity.
- Design and develop tools to diagnose and analyze autonomous vehicles system issues.
- Partner with platform users to continuously improve the user experience.
What we need to see:
- A bachelor's or master's degree in computer science, software engineering, or a related fields.
- At least 8 years of industry experience in designing and developing distributed systems.
- Strong software development fundamentals, including algorithms, data structures, design patterns, computer architecture.
- Deep knowledge in distributed system design and development.
- Hands-on experience designing or operating big data platforms, including Apache Spark, data architectures, and large-scale batch or streaming data pipelines.
- Expert-level proficiency in at least one of the following languages: Go, Python, or Java.
- Strong communication and interpersonal skills, with a demonstrated ability to collaborate across cross-functional teams, organizations.
Ways to stand out from the crowd:
- Experience with Amazon AWS cloud, especially CloudFront, DynamoDB, Lambda, S3, SNS/SQS.
- Experience with Kubernetes and Docker.
- Contributions to open-source projects.
- Demonstrated passion for new technologies and initiative in tackling complex technical challenges.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative and autonomous software engineer with a genuine passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you!