Experience Not stated in the posting - worth applying if the stack matches
About the role
structured by ORIAbout ReductoReducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.We’ve…
What you will do
- Build, and maintain our training and inference stack with an emphasis for fast iteration on training + flexibility for exploring new methods and high performance in inference.
- Develop benchmarks for both sets of stacks to identify bottlenecks.
- Explore SOTA advances in training and inference and work to apply them.
- Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability.
- Scale distributed training and inference workloads across large GPU clusters while improving utilization, reliability, and cost efficiency.
What they are looking for
- Hold yourself to a high bar for quality and precision.
- Enjoy solving complex problems and building from first principles.
- Have strong Python skills + a background in systems engineering.
- Are comfortable with Kubernetes and distributed training frameworks.
- Love getting your hands dirty with real-world implementation challenges.
- Operate well in fast-changing, high-growth environments.
- Collaborate effectively across technical and non-technical teams.
- Take full ownership from strategy through execution.
- Have 3+ years of experience.
Nice to have
- Have experience at an early-stage or high-growth startup.
- Have developed in open source training/inference stacks in a meaningful way.
- Are excited to set up distributed inference across 100s-1000s of GPUs.
- Care deeply about combining technical excellence with business impact.
Before you apply
- This is an in person role at our office in SF.
Benefits
- Unlimited PTO: We believe great work requires recharging.
- Lunch: Receive a free lunch to eat with your teammates daily at the office
- Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs
- Insurance: Generous health insurance covering medical, dental, and vision.
- Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Pythonsystems engineeringdistributed trainingKubernetesGPU
Full posting text
$200K–$300K; offers equity.