Founding ML Infra Engineer for Robot Training

Reflection Robotics, Inc.; Seattle (WA); On-site; USD 150,000 - 210,000; Full time

Job summary

Reflection Robotics, Inc. is seeking a founding engineer to build the training infrastructure that lets robotics engineers launch training jobs with a simple interface.

You will decide where a job runs, balancing cost, availability, and performance across cloud providers, ensuring GPUs are utilized and jobs run efficiently. This foundational role will shape daily tooling used by every robotics engineer, with emphasis on reliability, usability, and cost-efficiency to accelerate iteration on our

Qualifications

• Strong systems engineering fundamentals with daily-use infrastructure.
• Experience with distributed training and large-scale ML workloads.
• Proficiency with PyTorch.
• Experience across AWS, GCP, and Azure and cost/performance tradeoffs.
• Comfort building and operating orchestration systems.
• Track record of shipping robust infrastructure.
• Ability to work in-person in Seattle on weekdays.

Responsibilities

• Build a streamlined, self-serve way for robotics engineers to launch training jobs, abstracting away the underlying cloud provider or cluster.
• Design and build the orchestration layer that schedules and manages training jobs across multiple cloud providers.
• Continuously monitor and optimize training jobs for cost, GPU utilization, and throughput.
• Identify and eliminate bottlenecks in data loading, checkpointing, and distributed training that waste compute.
• Build tooling to make it easy to compare performance and cost across providers and hardware types.
• Set up monitoring and alerting so failed or underperforming jobs are caught quickly, not discovered days later.
• Work closely with the robotics engineering team to understand their workflows and remove friction wherever it shows up.

Skills

Systems engineering

Distributed training

PyTorch

Multi-cloud

Orchestration systems

Tools

Kubernetes

Job description

Reflection Robotics, Inc. is seeking a founding engineer to build the training infrastructure that lets robotics engineers launch training jobs with a simple interface.

You will decide where a job runs, balancing cost, availability, and performance across cloud providers, ensuring GPUs are utilized and jobs run efficiently. This foundational role will shape daily tooling used by every robotics engineer, with emphasis on reliability, usability, and cost-efficiency to accelerate iteration on our