15 hours ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Build, supervise, and improve firmware infrastructure including build systems, regression farms, CI/CD pipelines, developer tooling, test frameworks, and web services.
- Debug and resolve issues across hardware, software, infrastructure, and team processes while developing lasting solutions.
- Create AI-powered workflows and automate processes, services, and tooling to increase team and company productivity.
- Develop internal- and external-facing projects and scale improvements from proof of concept through production deployment.
- Document processes, write technical proposals and design documents, and collaborate with hardware and software engineers.
Requirements
- Bachelor’s or master’s degree in electrical engineering, computer science, or computer engineering, or equivalent experience.
- At least 5 years of experience in software, infrastructure, DevOps, or site reliability engineering.
- Hands-on experience architecting and debugging CI/CD pipelines and test automation frameworks such as pytest.
- Experience with or interest in device BIOS, firmware, or other low-level embedded software.
- Understanding of web services, relational databases, schema design, SQL, and PostgreSQL.
- Strong Python skills and comfort working in Linux shell environments.
- Strong communication, critical review, requirements-writing, problem-solving, and interpersonal skills.
- Preferred experience with containers, orchestration, infrastructure-as-code, Kubernetes, AI-assisted development tools, technical proposals, design documents, or architecture decisions.
Benefits
- NVIDIA offers competitive salaries and a comprehensive benefits package.
- The posting highlights a diverse and supportive work environment and benefits for employees and their families.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.