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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior Software Engineer - Full Stack

직무풀스택
경력시니어급
위치India
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Python

Java

JavaScript

TypeScript

React

AWS

Angular

GCP

Azure

Spark

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.

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NVIDIA 소개

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

직원 수

Santa Clara

본사 위치

$4.57T

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

2.8

보상

4.5

문화

4.2

커리어

4.3

경영진

3.8

78%

지인 추천률

장점

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

단점

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

연봉 정보

79개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 후기

후기 5개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience