Software Engineer Graduate (AI Infra Compute) - 2027 Start

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Continuous learning","Communication","Teamwork","Ability to quickly grasp new technologies"]

Build and improve compute infrastructure that powers AI workloads, including training infra, inference infra, and AI agent systems. Work with the Compute-US team on a scalable, highly available platform supporting public cloud products and internal services. Collaborate with academia and open source communities, perform deep-dive technology analysis, and share research outcomes through academic papers.

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FursaFursa
ByteDance
ByteDance
1 day ago

Software Engineer Graduate (AI Infra Compute) - 2027 Start

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and improve compute infrastructure that powers AI workloads, including training infra, inference infra, and AI agent systems. Work with the Compute-US team on a scalable, highly available platform supporting public cloud products and internal services. Collaborate with academia and open source communities, perform deep-dive technology analysis, and share research outcomes through academic papers.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Graduate level

Key Responsibilities

  • •Develop key technologies to optimize the AI infra stack, including training infra, inference infra, and AI agents.
  • •Collaborate with academia and open source communities on joint development.
  • •Stay current with new technologies from academia or industry and conduct deep-dive analysis.
  • •Present research and products in academic papers.

Key Requirements

  • •Completing or recently completed a Master's degree in Computer Science, Computer Engineering, or a related discipline.
  • •Experience with LLM training infrastructure, including optimizations for post-training workloads such as RL training and knowledge distillation.
  • •Experience with LLM inference infrastructure, including inference engine performance improvements, efficient execution parallelism, and GPU kernel optimizations.
  • •Experience with AI agent infrastructure such as computer-use agents, coding agents, agent memory, and agent sandbox.
  • •Strong communication and teamwork skills, with a commitment to continuous learning in AI technologies.
Experience:AI infrastructureLLM trainingLLM inferenceAI agentsOpen source
Education:Master's in Computer Science, Computer Engineering, or related discipline
Skills:Continuous learningCommunicationTeamworkAbility to quickly grasp new technologies
Tech Stack:LLMTraining infrastructureInference infrastructureRL trainingKnowledge distillationInference engineExecution parallelismGPU kernel optimizationsAI agentsComputer-use agentsCoding agentsAgent memoryAgent sandboxVLLMSGLangOSDIMLSys

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn