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NVIDIA

Senior Software Engineer - Full Stack

Posted 6 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Senior Software Engineer will design and build security solutions, work with various teams on secure architecture, optimize data processing, and enhance vulnerability assessments at NVIDIA.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking an experienced Senior Software Engineer - Full Stack who’s excited to build Security Solutions at NVIDIA. Join us to secure the AI era!

What you'll be doing:

  • Design and build unified security services for NVIDIA Security Platform, integrating detection, orchestration, and automated response capabilities.

  • Partner with product engineering, security architecture, and cloud infrastructure teams to embed secure design patterns and automation across private, public, and emerging AI-native clouds.

  • Build secure cloud architecture and implement full-stack solutions—from backend APIs (Java/Spring Boot, Python) to observability portals, and security action workflows—delivering reliability, scalability, and operational excellence.

  • Foster process-as-code leadership to transform manual workflows into consumable, automated self-service subscriptions to reduce software vulnerability exposures.

  • Design and operate data ingestion pipelines to bring in vulnerability, threat, asset, and ticket data from multiple internal and external sources at scale.

  • Implement data enrichment workflows (e.g., threat intelligence tagging, asset and business context, ownership, SLA and CVSS mappings) to improve prioritization and decision-making.

  • Optimize data processing and analytics jobs on platforms such as Databricks (Spark, Delta Lake) for batch and near real-time security compliance use cases.

  • Build vulnerability assessment platforms to automate discovery, prioritization, and remediation workflows, employing AI models with dynamic risk analysis.

What We Need to See:

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field with 8+ years' software development experience.

  • Proven experience designing, developing, and deploying services on public or hybrid private-public cloud platforms (AWS, GCP, Azure, OCI).

  • Proficiency in Java (Spring Boot) and Python, with a strong grasp of scalable REST API development. Experience building front-end applications using React / Angular, TypeScript/JavaScript, HTML5/CSS. Knowledge of connecting UI and API for secure, high-performing systems.

  • Experience implementing Infrastructure-as-Code (IaC), securing containerised and K8S environments (EKS, AKS, GKE, OKE), and integrating monitoring and alerting systems (Grafana, Prometheus, Datadog, PagerDuty) for operational visibility.

  • Proven understanding of authentication and authorization protocols (SSO, SAML, Federated Identity, RBAC, IAM policies) in multi-cloud environments to implement secure identity management practices.

  • Proven ability to collaborate effectively across global engineering teams, driving secure production-grade solutions through clear communication and cross-functional teamwork.

Ways to Stand Out from the Crowd:

  • Bring experience with AI or ML pipelines, especially integration of automated or intelligent security controls—using AI to improve detection, response, or compliance capabilities.

  • Demonstrate hands-on work with security and asset platforms, event streaming (Kafka, Pub/Sub), or large-scale data ingestion and analytics (Databricks, Delta Lake).

  • Show comfort operating across multiple cloud service providers and hybrid or private environments, applying sophisticated observability, telemetry, and alerting techniques to strengthen security at scale.

Above all, show curiosity, creativity, and a drive to make security smarter—because that’s what we do every day at NVIDIA! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Top Skills

Angular
AWS
Azure
CSS
Databricks
Datadog
Delta Lake
GCP
Grafana
HTML5
Java
JavaScript
Kafka
Oci
Pagerduty
Prometheus
Pub/Sub
Python
React
Spark
Spring Boot
Typescript

NVIDIA Pune, Mahārāshtra, IND Office

Survey No.144 145, Commerzone No.5, Off, Airport Rd, Yerawada, Pune, Maharashtra, India, 411006

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