
Pioneering accelerated computing and AI
Senior Software Engineer - Full Stack
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.
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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.
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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.
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Foster process-as-code leadership to transform manual workflows into consumable, automated self-service subscriptions to reduce software vulnerability exposures.
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Design and operate data ingestion pipelines to bring in vulnerability, threat, asset, and ticket data from multiple internal and external sources at scale.
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Implement data enrichment workflows (e.g., threat intelligence tagging, asset and business context, ownership, SLA and CVSS mappings) to improve prioritization and decision-making.
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Optimize data processing and analytics jobs on platforms such as Databricks (Spark, Delta Lake) for batch and near real-time security compliance use cases.
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Build vulnerability assessment platforms to automate discovery, prioritization, and remediation workflows, employing AI models with dynamic risk analysis.
What We Need to See:
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Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field with 8+ years' software development experience.
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Proven experience designing, developing, and deploying services on public or hybrid private-public cloud platforms (AWS, GCP, Azure, OCI).
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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.
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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.
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Proven understanding of authentication and authorization protocols (SSO, SAML, Federated Identity, RBAC, IAM policies) in multi-cloud environments to implement secure identity management practices.
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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:
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Bring experience with AI or ML pipelines, especially integration of automated or intelligent security controls—using AI to improve detection, response, or compliance capabilities.
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Demonstrate hands-on work with security and asset platforms, event streaming (Kafka, Pub/Sub), or large-scale data ingestion and analytics (Databricks, Delta Lake).
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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
PublicA 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
최근 소식
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
reddit/blind
·
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
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