NVIDIA is looking to enhance engineering productivity of its teams by enabling security and compliance of its IP with minimal customer effort, and to secure workflows for worldwide chip development, verification, and artificial intelligence.
Requirements
- Proficiency developing and deploying Python systems in a Linux environment.
- Proven strong foundation in object-oriented design and software architecture patterns.
- Hands-on experience with CI/CD pipelines (GitLab, GitHub, or Perforce) and DevOps practices.
- Consistent track record of owning features end-to-end including testing, deployment, and monitoring.
- Expertise in Python backends (FastAPI, Django, or Flask) with production-scale deployments
- Cloud-native infrastructure experience: Kubernetes orchestration, microservices architecture, and observability (OpenTelemetry)
- Knowledge of databases, data lakes, and operating on large data sets (MongoDB, OpenSearch, PostgreSQL)
Responsibilities
- Design and implement new services, tools and libraries to make our customers' workflows 'Secure By Default'.
- Be responsible for the complete lifecycle from architecture to production deployment of security tooling.
- Partner with chip design, security and AI teams to understand complex workflows and translate their requirements into technical software solutions.
- Directly contribute to the overall quality of and improve time to market for our next generation chips and deep learning models.
Other
- BS/MS in Computer Science/Engineering or equivalent experience with 5+ years experience using those skills.
- Excellent planning, interpersonal and problem solving skills.
- Flexibility/adaptability working in a dynamic environment with unique challenges and requirements.
- A passion for improving the efficiency and effectiveness of other specialists and engineers.
- Applications for this job will be accepted at least until December 7, 2025.
