Senior System Software Engineer

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Kubernetes @ 4 Linux @ 6 DevOps @ 4 Python @ 6 GitHub @ 4 CI/CD @ 4 Hiring @ 4 Django @ 4 FastAPI @ 4 Flask @ 4 MongoDB @ 4 PostgreSQL @ 4 Microservices @ 4 Compliance @ 4 OpenTelemetry @ 4

Details

NVIDIA is seeking a Senior System Software Engineer to join its internal infrastructure group to craft services, tools and libraries that enhance engineering productivity, enable security and compliance of IP, and secure workflows for worldwide chip development, verification, and AI. You will design, implement, and operate scalable, reliable systems and tooling that support next-generation chips and deep learning models.

Responsibilities

  • Design and implement new services, tools, and libraries to make customer workflows "Secure By Default."
  • Own 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 requirements into technical software solutions.
  • Contribute to overall quality and improve time to market for next-generation chips and deep learning models.
  • Deliver features end-to-end including testing, deployment, and monitoring.

Requirements

  • Proficiency developing and deploying Python systems in a Linux environment.
  • 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.
  • Excellent planning, interpersonal, and problem solving skills.
  • Flexibility and adaptability to work in a dynamic environment with unique challenges.
  • Passion for improving the efficiency and effectiveness of other specialists and engineers.
  • BS/MS in Computer Science/Engineering or equivalent experience with 5+ years of relevant experience.

Ways to stand out

  • 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).
  • Familiarity with Export Control Compliance or IP Security.
  • Experience with EDA tools, chip design workflows, or ML infrastructure.

Compensation & Benefits

  • Base salary ranges by level:
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • Base salary will be determined based on location, experience, and pay of employees in similar positions.
  • Eligible for equity and benefits.

Additional details

  • Location: Santa Clara, California, United States.
  • Position type: Full time.
  • Applications accepted at least until September 19, 2025.
  • NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.