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Nvidia Senior Software Engineer AI Agent Platform 
Israel, Tel Aviv District, Tel Aviv-Yafo 
332503212

Today
Israel, Tel Aviv
time type
Full time
posted on
Posted 4 Days Ago
job requisition id

What you'll be doing:

  • Architect and build robust, scalable frameworks and APIs to integrate AI agents with Nvidia's suite of developer tools, simulation platforms, and enterprise software.

  • Collaborate with research, applied AI, and product teams to understand agent capabilities and translate them into production-ready services and features.

  • Design and implement CI/CD pipelines and MLOps practices tailored for the AI agent lifecycle, including testing, deployment, monitoring, and continuous improvement.

  • Optimize the performance, latency, and resource consumption of deployed AI agents, ensuring they operate efficiently within our compute infrastructure.

  • Develop internal tooling and automation to streamline the onboarding of new AI agents and enhance the observability of agent fleets.

  • Champion best practices for secure and reliable agent-based systems, including data handling, access control, and interaction protocols.

  • Serve as a key technical resource for solving sophisticated integration issues between AI agents and target applications.

What we need to see:

  • BSc or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.

  • 7+ years of hands-on experience in software engineering, with a focus on backend systems, cloud services, or infrastructure.

  • Proven experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of large language models (LLMs), transformers, and agent-based architectures (e.g., LangChain, LlamaIndex).

  • Demonstrated experience in architecting, building and deploying complex integrations between AI agents and external tools, APIs, or software services.

  • Expert-level programming skills in Python. Experience with C++ is a strong plus.

  • Experience designing, building, and maintaining RESTful APIs, gRPC, and other service-to-service communication protocols.

  • Excellent problem-solving skills and the ability to navigate complex, ambiguous technical challenges.

  • Strong communication and interpersonal skills, with a proven ability to collaborate effectively across multidisciplinary teams.

Ways to stand out from the crowd:

  • Hands-on experience building or fine-tuning LLMs or other generative models.

  • Prior experience with MLOps, and agentic infrastructure.

  • Contributions to open-source AI/ML projects. Experience with Infrastructure as Code (Terraform, Ansible). Prior experience in developing platforms for internal developer communities.

  • knowledge of cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes, Docker), and building scalable microservices.

  • Familiarity with vector databases (e.g., Milvus, Pinecone) and model serving infrastructure (e.g., Triton Inference Server).