Senior Software Engineer - Full Stack at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SecurityIndustries

Requirements

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)
Experience 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
Demonstrated ability to collaborate effectively across global engineering teams, driving secure production-grade solutions through clear communication and cross-functional teamwork

Responsibilities

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
Evaluate new CSP and third-party security offerings, prototype custom solutions aligned with NVIDIA’s global standards, and continuously supervise environment posture through industry standard benchmarks, logging, and alerting
Build vulnerability assessment platforms to automate discovery, prioritization, and remediation workflows, employing AI models with dynamic risk analysis

Skills

Java

Spring Boot

Python

Full Stack

Cloud Architecture

APIs

Security

Automation

Observability

Vulnerability Assessment

AI Models

Logging

Alerting

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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