Senior Software Engineer -Scanner Automation at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, a relevant field, or equivalent experience
5+ years working in a Software Engineer role
2+ years of proven experience in software development, building end-to-end applications, infrastructure, and automation frameworks at scale
Experience with designing and implementing scalable, resilient services for large-scale scanning services, enabling efficient processing of code, artifacts, and datasets across distributed environments
Experience working with RESTful APIs
Experience deploying to cloud technologies/infrastructure
Experience with Kubernetes and Docker
Knowledge of professional software engineering practices & standard methodologies for the software development process, including documentation and task management, coding standards, code reviews, source control management, build processes, testing, operations, and generation of critical metrics

Responsibilities

Building and maintaining a scalable, distributed platform for automated security and quality scanning that integrates seamlessly with CI/CD pipelines across a range of services and environments
Designing and developing foundational libraries and APIs that standardize how security evidence is generated, formatted, and ingested—enabling internal and external tools to integrate smoothly with our systems
Defining and evolving evidence schemas and data models that enable accurate, consistent, and scalable insights into application security and software composition
Building robust services—primarily in Python and Go—that operate reliably in distributed, cloud-native environments, leveraging Docker, Kubernetes, and infrastructure-as-code practices
Collaborating closely with developers and platform teams to understand workflows and problems, delivering solutions that enhance developer productivity, software reliability, and security posture
Driving cross-functional initiatives that influence how scanning and quality insights are integrated across the SDLC, with visibility and impact at the organizational level

Skills

Python

Docker

Kubernetes

CI/CD

APIs

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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