Cloud Platform Software Engineer (Remote - California)

This position is posted by Jobgether on behalf of NVIDIA. We are currently looking for a Cloud Platform Software Engineer in California.

Join a dynamic engineering team focused on developing scalable cloud infrastructure software that supports cutting-edge AI supercomputing platforms. This role offers the opportunity to collaborate with cross-functional teams, including architects, frontend engineers, and site reliability engineers, to deliver innovative solutions on Kubernetes. You will own your code from development through production, working on sophisticated distributed systems that power large-scale AI services in the cloud. The environment promotes collaboration, continuous learning, and a cloud-native approach to software engineering.

Accountabilities

• Design, develop, and maintain software systems supporting large-scale cloud infrastructure deployments.
• Create and implement APIs that enable Infrastructure as Code (IaC) automation and deployment workflows.
• Contribute to multiple source code projects aligned with platform requirements and deliver high-quality software services.
• Collaborate with engineering managers, architects, and frontend engineers to ensure seamless integration and product excellence.
• Automate software validation through unit and integration tests, ensuring robust and reliable releases.
• Own the health and maintenance of CI/CD pipelines from development to production environments.
• Engage with cross-functional teams to gather feedback on design and product direction in a collaborative, no-blame culture.

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
• 5+ years of experience in large-scale software development.
• Proven experience building and deploying services on Kubernetes.
• Familiarity with open-source contributions and cloud service support at scale.
• Proficiency in programming languages such as Golang or Python.
• Strong communication skills to articulate design and quality strategies across various formats.
• Experience with modern infrastructure tools and cloud technologies.

Preferred Qualifications:

• Experience with Kubernetes Cluster API, Terraform, Tinkerbell, or similar infrastructure tooling.
• Practical knowledge of Azure, GCP, or AWS cloud platforms.
• Ability to refactor software for Kubernetes-native environments.
• Understanding of CSI, CNI, CRI, and CNCF ecosystem tools and contributions.

• Competitive salary range depending on level and experience ($148,000 - $287,500 USD).
• Eligibility for equity participation and comprehensive benefits.
• Collaborative, innovative work environment fostering professional growth.
• Opportunities to work with cutting-edge AI and cloud-native technologies.
• Flexible work arrangements and support for work-life balance.
• Inclusive workplace dedicated to diversity, equity, and equal opportunity.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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