ML Infrastructure Engineer
Sunday Robotics is a Mountain View/Redwood City-based AI robotics company developing Memo, a helpful autonomous home robot for household tasks.
Funding history
About Sunday Robotics
The company develops Memo and the hardware, data-capture, and AI systems used to teach it household skills. Memo is not yet commercially available; Sunday is accepting applications for its 2026 Founding Family beta.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build systems across the robot learning pipeline, from multimodal data ingestion through distributed model training and real-time inference. You will maintain research infrastructure, optimize performance, manage datasets, and create tooling for debugging, visualization, and experiment analysis.
Requirements
- Software engineering and systems fundamentals
- Experience building distributed systems or large-scale data pipelines
- Experience with ML training infrastructure
- Ability to reason about performance, memory, I/O, and GPU utilization
- Experience managing training workloads with SLURM, Kubernetes, or similar systems
- Ability to design, build, operate, and iterate on systems end to end
Responsibilities
- Maintain a research codebase for fast iteration and correctness
- Own model-training infrastructure, including scheduling, checkpointing, metrics, and logging
- Scale distributed training across GPU clusters
- Optimize memory usage and training throughput
- Build low-latency inference pipelines for real-time robot control
- Design pipelines for ingesting, validating, and transforming multimodal robot data
- Build storage and metadata indexing systems for datasets
- Build research tooling for debugging, visualization, and experiment analysis
Benefits
- Equity