NVIDIA
NVIDIA
NVIDIA गेमिंग, डेटा सेंटर, क्लाउड कंप्यूटिंग, स्वास्थ्य सेवा, विनिर्माण, ऑटोमोटिव और रोबोटिक्स सहित विभिन्न क्षेत्रों में उपयोग की जाने वाली त्वरित कंप्यूटिंग और कृत्रिम बुद्धिमत्ता प्रौद्योगिकियाँ विकसित करती है। इसका कार्य ग्राफ़िक्स प्रोसेसिंग यूनिट, AI प्लेटफ़ॉर्म, सिमुलेशन और उद्योग-केंद्रित समाधानों तक फैला हुआ है। इनमें सहयोगात्मक 3D वर्कफ़्लो के लिए NVIDIA Omniverse, स्वायत्त वाहन विकास के लिए NVIDIA DRIVE और स्वास्थ्य सेवा अनुप्रयोगों के लिए NVIDIA Clara शामिल हैं। कंपनी उन्नत कंप्यूटिंग, सिमुलेशन और AI-आधारित विश्लेषणों को समर्थन देने वाले बुनियादी ढाँचे और सॉफ़्टवेयर पर काम करने वाली बड़ी तकनीकी टीमों को एक साथ लाती है।

Senior Software Engineer, AI Production Tools

Build AI-powered production tools, agentic workflows, and content pipelines at NVIDIA. Integrate AI models with creative applications and production infrastructure.

विवरण

  • Lead tool and pipeline systems from workflow discovery and architecture through implementation, deployment, maintenance, and production support.
  • Build agentic workflows that orchestrate models, tools, APIs, and services with context management, state tracking, validation, retries, and recovery handling.
  • Develop AI-assisted engineering tools for coding, testing, debugging, codebase analysis, code review, and workflow automation.
  • Create DCC integrations, plugins, panels, desktop applications, and services for artists and technical artists.
  • Develop and maintain content pipelines for authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems.
  • Define software architecture, APIs, and data contracts that support maintainability, performance, and integration across production systems.
  • Implement automated testing, agent evaluations, tracing, monitoring, and access controls to ensure reliable, observable operation.
  • Manage packaging, dependencies, compatibility, and releases across supported applications and production environments.
  • Work with users to prioritize enhancements, lead technical reviews, mentor engineers, and document systems.

आवश्यकताएँ

  • Bachelor’s degree in computer science, computer engineering, or a related technical field, or equivalent experience.
  • At least 8 years of relevant software engineering experience developing production tools, content pipelines, or comparable workflow systems.
  • At least 2 years of technical leadership experience, including project leadership, architectural guidance, engineer mentoring, and delivery coordination.
  • Strong Python skills, along with experience in software architecture, API design, automated testing, debugging, and maintainable code.
  • Experience integrating with DCC applications and supporting content workflows from authoring through validation, publishing, and downstream delivery.
  • Experience building multi-step AI workflows that call tools or APIs and integrate with existing software systems, including state management, evaluation, and failure handling.
  • Experience creating usable tools for artists or other specialist users and translating workflow needs into engineering requirements.
  • Experience with version control, code review, release management, and production support for business-critical software.
  • Ability to diagnose issues across applications, services, and data, explain technical tradeoffs, and collaborate across engineering and creative teams.
  • Experience developing desktop or embedded interfaces with PySide, Qt, or similar frameworks.
  • Proficiency in C++, Java, or other languages used for application integrations and production services.
  • Experience with asset management, production tracking, Git, Perforce, and content dependency management.
  • Familiarity with Unreal Engine, Unity, proprietary engines, graphics, rendering systems, or shader development.
  • Experience with LLM APIs, tool calling, structured outputs, retrieval and context systems, and agent evaluation or observability.

लाभ

  • Equity compensation
  • Employee benefits

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