3 days ago
Base Salary
$152k - $242k/yr
Responsibilities
- Build, supervise, and improve firmware infrastructure including build systems, regression farms, CI/CD pipelines, developer tooling, frameworks, and web services.
- Debug and resolve issues across hardware, software, infrastructure, and team processes while eliminating recurring problem classes.
- Create AI-powered workflows and automate processes, services, and tooling for internal and external projects.
- Identify and eliminate organizational toil by scaling improvements from proof of concept through production deployment.
- Document processes, write technical proposals and design documents, and collaborate with hardware and software engineers on tooling enhancements.
Requirements
- BS or MS degree in electrical engineering, computer science, or computer engineering, or equivalent experience.
- At least 5 years of software, infrastructure, DevOps, or SRE engineering experience.
- 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, REST APIs, relational databases, schema design, SQL, and PostgreSQL.
- Strong Python skills and comfort working in Linux shell environments.
- Strong communication, interpersonal, empathy, scalability, and problem-solving skills.
- Experience with containers, orchestration, infrastructure-as-code tooling, Kubernetes, or AI-assisted development tools is preferred.
- A side project, open-source contribution, or internally built tool and experience writing technical proposals, design documents, or architecture decisions are valued.
Benefits
- Competitive base salary of $152,000-$241,500, plus eligibility for equity and benefits.
- Comprehensive benefits package for employees and families.
- Applications are accepted at least until October 26, 2026.
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.