Sunday Robotics

ML Infrastructure Engineer

Sunday Robotics
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6 months ago
Foster City, CA, USAMid Level
H1B Sponsor

Responsibilities

  • Maintain an effective research codebase optimized for fast iteration and correctness.
  • Own model-training infrastructure for job scheduling, checkpointing, metrics, and logging.
  • Scale distributed training across GPU clusters and enable larger models through sharding, activation checkpointing, and memory optimization.
  • Profile and optimize GPU utilization, memory usage, and training throughput.
  • Build low-latency inference pipelines for real-time robot control and optimize inference performance through quantization, distillation, and model compilation.
  • Collaborate with researchers and roboticists to translate research needs into reliable software and infrastructure.
  • Design high-throughput pipelines for ingesting, validating, and transforming multimodal robot data.
  • Build storage systems and metadata indexing for large-scale dataset management.
  • Optimize dataloaders, sharding, and prefetching to reduce the time from data arrival to model training.
  • Build research tools for debugging, visualization, and experiment analysis.

Requirements

  • Strong software engineering and systems fundamentals.
  • Experience building distributed systems or large-scale data pipelines.
  • Hands-on experience with ML training infrastructure, ideally PyTorch.
  • Ability to reason about performance, memory, I/O, and GPU utilization.
  • Experience managing training workloads with SLURM, Kubernetes, or similar tools.
  • Ability to design, build, operate, and iterate on systems end-to-end.
  • Willingness to work closely with researchers and unblock fast-moving projects.
  • Nice to have experience with robotics data pipelines or multimodal models.
  • Nice to have a background in VLAs, Video Generation architectures, or robot-learning systems.
  • Nice to have deep ML systems experience with training compilers, custom kernels, or runtime optimization.
  • Nice to have hands-on GPU performance-tuning experience.
  • Nice to have experience with Protobuf, FlatBuffers, or MCAP.

Categories

Data EngineeringML Engineering
Sunday Robotics

About Sunday Robotics

51-200 employees

The helpful home robot company