Top Tech Jobs & Startup Jobs

Design, build, and maintain foundational frameworks and internal tooling to accelerate AI research workflows. Collaborate with teams to create modular, reusable production-ready systems, remove cross-team friction, improve development workflows, and promote high code quality through reviews, documentation, and training.

Design, build, and maintain petabyte-scale batch and streaming data pipelines for robotics foundation model training and evaluation. Own data models, storage, ingestion, transformation, and orchestration. Standardize data models and unify processing across teleoperation and simulation datasets. Collaborate with a team building general-purpose Physical AI.

Design and implement embedded control stacks, motion planning, and optimal-control algorithms for dynamic locomotion and manipulation. Build real-time state estimation fusing heterogeneous sensors, develop modular simulation-to-hardware software, and debug, tune, and validate controllers on physical robots.

Lead data-quality and process for robotic data collection: define acceptance standards and defect taxonomy, build QA and audit pipelines, own metrics (accept-rate, first-pass yield, rework, cost per accepted hour), close feedback loops with operators, standardize collection workflows, and translate model needs into measurable acceptance criteria.

Own QA for Nyx renderer and Genesis World physics: maintain automated tests, build image-comparison and validation tooling, verify numerical correctness and determinism across GPUs/drivers/CUDA, perform exploratory testing on 3D scenes and multi-physics scenarios, set CI quality gates, and triage and document defects with engineers.

Build a high-throughput, GPU-based simulation pipeline for robotics (primarily rigid-body). Implement actuators, sensors, and controllers; collaborate with robotics, policy training, and asset-generation teams to bridge sim-to-real and develop real-to-sim workflows for training robotics foundation models.