Software Engineer - Firmware Lifecycle Management at NVIDIA

Bengaluru, Karnataka, India

NVIDIA Logo
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

Key technologies and capabilities for this role

Firmware DevelopmentRelease InfrastructureInfrastructure-as-a-ServiceFirmware PackagingBinary IngestionBackend DevelopmentFrontend DevelopmentTroubleshootingDebuggingGPU ServersCPU FirmwareDPU Firmware

Questions & Answers

Common questions about this position

What education and experience are required for this Software Engineer role?

A Bachelor's degree in computer science, Electrical Engineering, or related field is required, along with 3+ years of experience in software development or systems programming.

What key technical skills are needed for this position?

Strong knowledge of Python programming and shell scripting is required, along with familiarity with Linux environments, command-line tools, and automation tools such as Git, Jenkins, Docker, and Kubernetes.

What soft skills or qualities does NVIDIA look for in candidates?

Good communication skills and a team-oriented mindset are required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this firmware engineer role?

Candidates stand out with exposure to firmware workflows, understanding of APIs especially RESTful services, prior exposure to firmware or embedded systems, familiarity with hardware concepts like PCIe or USB, and experience in cross-functional teams with passion for automation and learning.

What is the company culture like at NVIDIA?

NVIDIA seeks creative and autonomous individuals to join forward-thinking and hardworking teams at the forefront of technological advancement in AI computing.

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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