Senior Software Engineer, DGXC Data Services
Location
California
Posted
1 day ago
Salary
$152K - $287.5K / year
Seniority
Senior
Job Description
Senior Software Engineer, DGXC Data Services
NVIDIA
• Design and build software code and cloud services for Data Management, including providing a catalog, managing metadata and life cycle of datasets and checkpoints • Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems • Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU
Job Requirements
- BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
- Strong foundation in algorithms and data structures and their real-world use cases
- Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers
- Experience with one of the leading cloud providers: AWS, GCP, or Azure
- Experience collaborating with teams to write software to support cloud services
- Background with backend systems and software engineering
- Programming experience in a relevant language, e.g., Go, Python, C/C++, Java
- Understanding of standard approaches to software engineering, software architecture, and design
- Ability to document software and services
- Break down projects into practical tasks
- Communicate design, status, and other sophisticated subjects in written, visual, and oral formats
- Ability and passion for working across teams and with collaborators on all sides of the project
Benefits
- equity
- benefits
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Acquisition Engineering Team Lead
AlpacaDBAlpacaDB, Inc., also known as Alpaca and Alpaca Securities, is an API stock and crypto brokerage platform that enables services to embed investing and developer
• Directly manage and support engineers working in the acquisition area, including performance, coaching, and prioritization • Act as the technical lead for acquisition engineering and help grow the team over time • Own the engineering side of acquisition, website experience and our customer funnels with a strong focus on reducing friction and improving conversion • Build and improve the analytics, instrumentation, and observability needed to understand funnel performance and conversion behavior • Collaborate closely with Marketing, Compliance, Legal, Product, and Branding to deliver compliant and effective regional experiences • Design and maintain a headless CMS architecture that supports both global and region-specific content • Build CMS-driven frontend applications using React and TypeScript • Define and evolve content models that account for region-specific product offerings and regulatory requirements • Implement publishing workflows that support review and approval by regional compliance teams • Improve the tooling and workflows that connect Design, content creation, and implementation • Partner closely with Design to implement and scale a shared design system across web surfaces • Help shape how content is generated, managed, and reused across languages, regions, and compliance contexts • Maintain high standards for performance, accessibility, SEO, and visual quality across all regions • Use data to evaluate funnel performance and guide product and UX improvements • Collaborate with backend engineers on API design when custom endpoints are required for web or CMS use cases • Mentor other engineers and influence frontend and web platform best practices across the company
• Develop and maintain a modern, responsive web interface. • Build backend scoring services, databases, and automated scoring agents for Windows and Linux. • Conduct system testing within integrated cyber range environments. • Create and maintain administrative, technical, and end‑user documentation. • Collaborate with the RangeOS development team to ensure seamless integration with versioned cyber ranges. • Contribute to solution designs that align with requirements and system constraints. • Estimate effort, complexity, and timelines for assigned tasks. • Implement clean, efficient, and maintainable code using modern programming practices. • Select optimal algorithms and approaches to solve technical problems. • Apply sound logic and design principles to feature development. • Follow established coding conventions and standards. • Document code structures, logic flows, and module behavior. • Produce clear technical documentation for developers, engineers, and stakeholders. • Develop customer-facing documentation as required. • Demonstrate strong written, verbal, and presentation skills. • Perform unit testing to validate functionality. • Support integration and validation testing across complex system environments.
Lead Software Engineer – Gov Cloud, AI
iCert GlobalInstructor-led Live Online Training and E-Learning for Professional Certification Training to accelerate your career.
• Design, build, and maintain secure, scalable cloud automation and internal tooling. • Support mission-critical production systems, including participation in a 24x7 on-call rotation. • Develop and manage DevOps pipelines and Infrastructure as Code using Terraform, Ansible, ARM, and Azure DevOps. • Troubleshoot and resolve complex application and Azure PaaS issues (C#/ASP.NET). • Implement and continuously improve cloud security controls aligned with federal compliance requirements. • Execute Identity & Access Management (IAM), deployments, upgrades, and change management activities. • Collaborate with cross-functional teams to deliver time-sensitive public-sector outcomes. • Support audits and compliance activities, including evidence collection and documentation. • Maintain clear, accurate technical documentation for systems and processes.
• Build and ship fullstack features across multiple AI-first products, including agentic music production and audio ML experiences like voice conversion, synthesis, and composition • Work directly with PMs and designers to take rough ideas to shipped product quickly, owning the full arc from ticket to production • Integrate and serve audio ML models in production and build the creator-facing surfaces that bring them to life • Develop agents and AI-powered workflows that do real, meaningful work inside the product • Use agentic coding tools (Claude Code, Cursor, Codex) as a core part of your daily development workflow • Own features end to end, prototype, production, reliability monitoring, and iteration • Uphold code quality and architectural standards even when moving fast, reading diffs line by line and writing tests for production-facing PRs • Contribute to a codebase that improves over time, with integrated reliability monitoring and a measurable weekly impact on shipped features




