Software Engineer - Test Infrastructure Development

Santa Clara, CA, US • Posted 18 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Technical Direction
  • Design Review
  • Debugging
  • Web Applications
  • UI
  • Production Support
  • Technical Writing
  • Team Building
  • Workflow
  • Log Analysis
  • Collaboration
  • Quality Assurance
  • Product Engineering
  • Manufacturing Operations
  • Computer Science
  • Computer Engineering
  • Software Development
  • Database
  • System Integration
  • Python
  • Bash
  • Shell Scripting
  • SQL
  • RDBMS
  • Query Optimization
  • JavaScript
  • TypeScript
  • React.js
  • HTML
  • Cascading Style Sheets
  • Build Tools
  • OAuth
  • SSO
  • RBAC
  • API
  • Git
  • Code Review
  • Testing
  • Documentation
  • Continuous Delivery
  • Computer Networking
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Jenkins
  • GitLab
  • Continuous Integration
  • Docker
  • Cloud Computing
  • Virtual Machines
  • Linux
  • Servers
  • Automated Testing
  • Dashboard
  • Data Visualization
  • Manufacturing
  • Hardware Troubleshooting
  • Artificial Intelligence
  • Prompt Engineering
  • Electrical Engineering

Summary

Role Summary:
  • Hands-on full-stack software engineer supporting NVIDIA Test Infrastructure Development. The contractor will work closely with a Senior Software Engineer who provides technical direction, architecture guidance, design review, and priorities.
  • The role focuses on feature implementation, bug fixing, testing, integration, deployment support, documentation, and maintenance.

What You'll Be Doing:
  • Develop and maintain internal web applications and engineering tools using Python, JavaScript/TypeScript, React, SQL, HTML, and CSS.
  • Implement end-to-end features based on requirements and designs from senior engineers, including backend services, REST APIs, database integrations, and frontend UI.
  • Troubleshoot software defects, performance issues, deployment problems, and production support issues.
  • Write maintainable code, tests, and technical documentation.
  • Participate in code reviews and follow team development standards.
  • Support CI/CD, Linux application deployment, monitoring, and infrastructure maintenance.
  • Use AI-assisted development tools and support AI-enabled workflows such as search, summarization, log analysis, and automation where appropriate.
  • Collaborate with Test Engineering, Product Engineering, Manufacturing, Operations, and globally distributed software teams.

What We Need to See:
  • BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience, with 3+ years of hands-on software development experience.
  • Strong full-stack development skills across frontend, backend, databases, APIs, deployment, and system integration.
  • Strong Python programming and practical Bash/Linux shell scripting experience.
  • Solid SQL and relational database skills, including schema design, efficient queries, indexes, and basic execution-plan/query optimization knowledge.
  • Experience with JavaScript/TypeScript, React, HTML, CSS, and npm/yarn or modern frontend build tools.
  • Experience developing/consuming REST APIs; familiarity with OAuth, JWT, SSO, RBAC, and secure API design.
  • Working knowledge of Git, code review, testing, documentation, CI/CD, Linux deployment, logs, processes, basic networking, and troubleshooting.
  • bility to independently execute assigned development tasks within an existing architecture.
  • Strong problem-solving and communication skills.

Ways to Stand Out:
  • Experience with Jenkins/GitLab CI, Docker/containers, automated deployment, cloud, VMs, or bare-metal Linux servers.
  • Experience building internal engineering tools, developer platforms, test automation, dashboards, or data visualization.
  • Experience with manufacturing test, hardware diagnostics, lab automation, product validation, or engineering infrastructure.
  • Hands-on use of AI coding tools or experience with LLM APIs, prompt engineering, RAG/vector search, agents, or function/tool calling.

Qualification:
  • BS/MS in Electrical Engineering or related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91116760
  • Position Id: 1ad00084bf4d2db53cdff0cf235baf80
  • Posted 18 hours ago
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