Forward Deployed Engineer

Communicate directly with Embodied AI and World Model researchers to thoroughly analyze their large models architectural requirements for input data (e.g. perception camera FOV LiDAR precision robotic arm dynamic constraints and specific action trajectory formats).

Translate ambiguous business and scientific research pain points into high-precision Dataset Specifications (Specs) explicitly defining data dimensions sensor parameters control command action spaces and metadata formats.

Plan and organize the distribution of target datasets balancing routine scenarios with long-tail scenarios (corner cases) to ensure the datasets possess strong generalizability and cover Out-Of-Distribution (OOD) extreme operating conditions.

Analyze historical or public datasets provided by clients to identify data gaps in geography lighting action types and obstacle distribution and perform targeted data completion.

Utilize and extend Maxinsights 3D simulation engines (such as Isaac Sim MuJoCo etc.) or generative world model tools to orchestrate and run large-scale data synthesis pipelines.

Write efficient scripts (Python/Bash) to automatically generate customized robot trajectories multi-angle perception video streams 3D point clouds and dynamics states.

Responsible for data curation filtering and calibration eliminating invalid data such as physical collision errors transient sensor disconnects or action drifts.

Write automated QA scripts to perform static and dynamic quality inspections on tens of millions of data frames across dimensions including dynamics reachability temporal alignment and label accuracy.

Oversee the final format packaging of datasets (e.g. converting trajectory data into MCAP HDF5 or LeRobot formats) to guarantee seamless direct ingestion into training pipelines.

Take ownership of data delivery and follow up to evaluate data efficacy during the early stages of client model training establishing a closed-loop data-to-model performance feedback mechanism.

Maintain daily high-frequency communication internally with the Algorithm R&D and Platform Development teams abstracting system-level bugs or shared requirements discovered during frontline deployment to drive the standardized upgrade of Maxinsights core data engine.

Programming Foundations: Proficient in Python programming with excellent software engineering literacy (proficient in the use of tools like Git Docker Shell etc.).

Data Engineering Experience: Skilled in using large-scale multimodal data processing tools (e.g. Pandas NumPy Arrow HDF5 and RLDS/TensorFlow Datasets structures).

Spatial & Motion Geometry: Possess a solid foundation in 3D spatial mathematics understanding 3D rotations (quaternions rotation matrices) coordinate system transformations forward/inverse kinematics (FK/IK) of robotic arms and sensor intrinsic/extrinsic parameters.

Technical Communication: Able to effectively communicate technical requirements project updates specifications and operational issues across stakeholders.

Simulation & Graphics: Hands-on project experience using physics simulators like Isaac Sim MuJoCo PyBullet Unity/Unreal Engine or NeRF/3DGS/generative world models is highly preferred.

Autonomous Driving/Robotics Background: Understanding autonomous driving perception/planning and control pipelines or the training and evaluation logic of Embodied AI foundation models (e.g. VLA RT-2 etc.) is highly preferred.

Cross-Team Coordination & Communication: Possess exceptional technical communication skills capable of seamlessly aligning complex technical boundaries and delivery Specs with both top AI researchers and non-technical business personnel.

Stress Tolerance & Ownership: Self-driven; able to maintain a results-oriented mindset and proactively drive projects forward amidst the rapid iterations and ambiguous requirement definitions typical of a startup environment.

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave