BS in Computer Science, Computer Engineering, Electrical Engineering, or 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, indexing, and execution-plan/query optimization.
Experience with JavaScript/TypeScript, React, HTML, CSS, and modern frontend build tools.
Experience developing/consuming REST APIs with familiarity in secure design principles.
Working knowledge of Git, CI/CD processes, and basic networking.
Responsibilities
Develop and maintain internal web applications and engineering tools using a variety of programming languages.
Implement features, including backend services and frontend UI based on designs from senior engineers.
Troubleshoot software defects and performance issues across the deployment lifecycle.
Write clean, maintainable code along with tests and technical documentation.
Participate in code reviews and adhere to team development standards.
Support continuous integration and deployment as well as infrastructure maintenance on Linux.
Leverage AI-assisted tools for enhanced development processes.
Benefits
Opportunity to collaborate with diverse software teams globally.
Access to AI-enabled workflows and cutting-edge tools.
Engagement in complex problem-solving scenarios enhancing technical expertise.
Full Job Description
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.
