Software Engineer - Firmware Lifecycle Management at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Datacenter, SemiconductorsIndustries

Requirements

Bachelor's degree in computer science, Electrical Engineering, or related field
3+ years of experience in software development or systems programming
Strong knowledge of Python programming and shell scripting
Familiar with Linux environments and command-line tools
Knowledge of automation tools such as Git, Jenkins, Docker, and Kubernetes
Good communication skills and a team-oriented mindset

Responsibilities

Develop and maintain Firmware Release infrastructure and tools for NVIDIA servers based on GPUs, CPUs, and DPUs
Develop Infrastructure-as-a-Service features - ingestion and packaging of firmware binaries, scale across multiple generations and variants, provide frontend, and backend support
Collaborate with internal firmware, hardware, software, and QA teams to gather requirements and deliver high quality solutions
Troubleshoot and debug firmware release and deployment infrastructure issues
Document processes and contribute to team discussions to improve firmware release workflows

Skills

Firmware Development

Release Infrastructure

Infrastructure-as-a-Service

Firmware Packaging

Binary Ingestion

Backend Development

Frontend Development

Troubleshooting

Debugging

GPU Servers

CPU Firmware

DPU Firmware

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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