Forward Deployed Engineer

Maxinsights; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave

Job summary

Maxinsights in the United States is seeking a Forward Deployed Engineer to bridge our robotics data engine with Embodied AI R&D teams globally. This role is 100% data- and software-driven, with no on-site hardware deployment.

You will design dataset specifications, generate multimodal simulation data, and govern data quality across large-scale pipelines, collaborating across US and China teams. Applicants should excel in Python, 3D spatial math, and simulation toolchains and thrive in a fast

Qualifications

• Proficient in Python with software engineering literacy (Git, Docker, Shell).
• Experience with large-scale multimodal data processing tools (Pandas, NumPy, Arrow, HDF5).
• Solid foundation in 3D spatial mathematics including quaternions and FK/IK.

Responsibilities

• Interface with Embodied AI and World Model researchers to define input data specs.
• Translate data needs into precise Dataset Specifications (Specs).
• Plan distribution of target datasets to cover routine and long-tail scenarios.
• Extend and run Maxinsights' 3D simulation engines for large-scale data synthesis.
• Write Python/Bash scripts to generate trajectories, perception video streams, and 3D data.
• Oversee data curation, filtering, calibration, and quality inspections.

Skills

Python

Git

Docker

Shell

Pandas

NumPy

Arrow

HDF5

TensorFlow Datasets

Tools

Isaac Sim

MuJoCo

PyBullet

Unity

Unreal Engine

NeRF

3DGS

Job description

Job Description:

Job Overview

As a Forward Deployed Engineer (FDE - Robotics Data Direction) at Maxinsights, you will serve as the technical bridge connecting our world-leading robotics foundation model data engine with top-tier Embodied AI and World Model R&D teams globally.

While traditional FDE roles typically focus on on-site physical hardware installation and driver debugging, our technology at Maxinsights has achieved a high degree of data streaming and simulation. This role is 100% data- and software-driven, involving absolutely no on-site physical hardware deployment or mechanical debugging.

Your core mission is to deeply understand clients' academic and commercial requirements, acquire and align dataset specifications (Specs), design and produce high-quality multimodal motion and scene simulation data, execute rigorous data governance, and conduct agile, high-frequency iterative validations both within and outside the team. Your work will directly ensure that the delivered data accelerates the generalizability learning of our clients' robots.

Core Responsibilities

1. Client Requirement Interfacing & Specification Definition

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.

1. Data Distribution Planning & Scene Design

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.

1. Data Production & Synthesis Orchestration

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.

1. Data Curation & Quality Governance

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.

1. Closed-Loop Delivery & Continuous Cross-Team Alignment

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

• Bilingual Communication: Fluent in both Mandarin Chinese and English, with strong written and verbal communication skills in both languages. Able to effectively communicate technical requirements, project updates, specifications, and operational issues across US and China-based teams.

Comprehensive Soft Skills

• 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.

Default Benefits:

• Health insurance

• Vision care

• Dental coverage

• 401(k)

• Paid holidays

• PTO (Paid Time Off)

• Sick leave