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Software Engineer Graduate - 2027 Start

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Software Engineer Graduate - 2027 Start in USA

  • ByteDance
  • Full time
  • Email
  • San Jose, CA

Responsibilities

  • Design and build ML platform orchestration capabilities for jobs, services, and stateful workloads.
  • Develop multi-tenant resource, quota, priority, preemption, fair-sharing, elasticity, and cross-cluster scheduling systems.
  • Improve GPU utilization and cost efficiency through resource pooling and FinOps.
  • Build model-serving lifecycle capabilities including distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
  • Develop topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management for disaggregated serving clusters.

Requirements

  • Completing or recently completed a PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
  • Proficiency in at least one of Go, C++, or Python, with a foundation in data structures, algorithms, and software engineering principles.
  • Familiarity with Linux, operating systems, computer networks, concurrent programming, and distributed systems.
  • Hands-on exploratory ability using source code, metrics, logs, profiling, and experiments.
  • A systematic and quantitative approach to problem solving, including defining measurements, testing hypotheses, and validating improvements.
  • Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or engineering projects.
  • Preferred experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
  • Preferred contributions to infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise.
  • Preferred experience with vLLM, SGLang, Triton, KServe, Ray Serve, KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism.
  • Preferred experience with online services, gateways, traffic management, autoscaling, performance optimization, highly available distributed systems, GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.

Benefits

  • Graduate opportunity with an onboarding date that must be committed to by the end of the year; candidates should state availability and graduation date in their resume.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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