Senior Software Engineer, AI Infrastructure

NVIDIA
Tel Aviv
Full timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Collaboration","Problem-solving","Technical decision-making","Ability to investigate problems","Explaining technical tradeoffs"]

Build and evolve infrastructure that accelerates AI workloads, helping models start faster and run efficiently at scale. Develop scalable backend services, APIs, and libraries for loading and managing AI models and data, and integrate cloud infrastructure with storage and AI frameworks in Kubernetes environments. Lead technical direction for an open-source project, delivering features from design to production while improving performance, reliability, and community coordination through testing, monitoring, and benchmarking.

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FursaFursa
NVIDIA
NVIDIA
7 hours ago

Senior Software Engineer, AI Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build and evolve infrastructure that accelerates AI workloads, helping models start faster and run efficiently at scale. Develop scalable backend services, APIs, and libraries for loading and managing AI models and data, and integrate cloud infrastructure with storage and AI frameworks in Kubernetes environments. Lead technical direction for an open-source project, delivering features from design to production while improving performance, reliability, and community coordination through testing, monitoring, and benchmarking.
Location: Tel Aviv
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop scalable services, APIs, and libraries for managing and loading AI models and data.
  • •Integrate cloud infrastructure, storage, and AI frameworks in Kubernetes environments.
  • •Guide an open-source project’s technical direction, review contributions, and coordinate community releases.
  • •Deliver features from design through production, improving performance and reliability via testing, monitoring, and benchmarking.
  • •Collaborate with engineers and product managers on technical decisions and knowledge sharing.

Key Requirements

  • •A relevant degree or equivalent practical experience.
  • •At least 5 years of experience developing backend services, infrastructure, or developer tools.
  • •Proficiency in Python, Go, or another relevant language, with willingness to learn new technologies.
  • •Hands-on experience with Kubernetes, containers, and Linux.
  • •Understanding of distributed systems and infrastructure fundamentals (compute, networking, storage).
Experience:5+ yearsDeveloper toolsInfrastructureDistributed systemsAIOpen source
Skills:CollaborationProblem-solvingTechnical decision-makingAbility to investigate problemsExplaining technical tradeoffs
Tech Stack:PythonGoKubernetesDistributed systemsAPIsAI modelsCloud infrastructureStorageLinuxContainersPyTorchVLLMSGLangC++GPU computingAI frameworksTestingMonitoringBenchmarking

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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