Lead the development of large-scale data infrastructure, simulation technologies, and validation frameworks to support the continuous improvement and safe deployment of autonomous driving systems.
Responsibilities
Own the technical vision and roadmap for end-to-end driving and behavior modeling
Build and run the large-scale training operation
Hire and lead team leads and engineers
Oversee progress across different teams with real technical depth
Decide on model readiness with the Safety & Evaluation lead
Requirements
M.S. or Ph.D. in computer science, machine learning, robotics or a related field
AI Engineer specializing in Neural Scene Reconstruction for autonomous driving simulation environments.
Responsibilities
Develop and improve neural scene reconstruction models using 3DGS, NeRF, and other learned 3D representations to reconstruct realistic driving environments.
Implement dynamic scene reconstruction techniques, modeling static environments and moving traffic agents while handling occlusions, incomplete observations, and challenging environmental conditions.
Develop neural rendering and novel-view synthesis methods to generate realistic camera observations from reconstructed 3D scenes.
Contribute to multimodal sensor rendering, including camera, LiDAR, and radar simulation, to support realistic virtual testing environments.
Build scalable reconstruction and rendering pipelines for efficient experimentation and large-scale processing of real-world driving datasets.
Requirements
Bachelor's or Master's degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, or a related discipline, or equivalent practical experience.
Develop scalable data pipelines and automated workflows that transform raw sensor data and external map sources into reliable, high-quality maps for autonomous driving.
Responsibilities
Develop and maintain automated map production pipelines, covering data ingestion, alignment, map conflation, format conversion, validation, packaging, and release.
Build automated map validation tools to detect geometric inconsistencies, topology errors, connectivity issues, and missing or incorrect map attributes.
Develop scalable map storage and retrieval services, including map indexing, tile serving, lane-level queries, and APIs for autonomous driving applications.
Implement map format conversion and export tools, supporting industry-standard formats such as OpenDRIVE and Lanelet2 for simulation, planning, and evaluation.
Build robust data processing workflows for integrating vehicle sensor logs, HD maps, and third-party geospatial datasets.
Requirements
Bachelor's degree in Computer Science, Robotics, Software Engineering, or a related discipline
Master's degree in Computer Science, Robotics, Software Engineering, or a related discipline
Complete designated cashier and closing reports in the computer system
Review shift logs/daily memo books and document pertinent information in logbooks
Contact appropriate individual or department to resolve guest call, request, or problem
Process all guest check-ins by confirming reservations in computer system, verifying guest identity, requesting form of payment, assigning room, and activating and issuing room key
Sell a room/accommodation to guests without reservations based on availability
Receiving samples (Furniture/Toys/ Juvenile products…) with assigned test methods or protocols, performing tests according to test methods / standards requirements, and recording, consolidating, and evaluating testing results.
Responsibilities
Receiving samples (Furniture/Toys/ Juvenile products…) with assigned test methods or protocols
Performing the tests according to test methods / standards requirements
Record, consolidate and evaluate the testing results
Going on business trips at the factory when required by the company and management
Testing and ensure the results of the release report are accurate and clear
Drive high data integrity by establishing robust validation rules, governance standards, and automated system checks
Perform deep‑dive analysis on large and complex datasets to uncover customer insights, behavioral trends, and strategic business opportunities
Create compelling dashboards and data visualizations that translate complex findings into clear, actionable insights for both technical and non‑technical stakeholders
Develop advanced SQL queries, scalable data models, and end‑to‑end analytics solutions that directly support evolving business needs
Design, streamline, and optimize reporting frameworks, automated processes, and analytical workflows to enhance efficiency and decision‑making
Lead PCB layout for automotive HPC and chiplet platforms, delivering manufacturable designs with design teams and external suppliers. Improve efficiency through AI-enabled automation, process and library management, and team mentoring.
Responsibilities
Own multilayer/HDI placement, fine-pitch BGA escape, and routing from approved schematics and mechanical constraints through release
Route DDR/LPDDR, PCIe, Ethernet, and SerDes to SI/PI constraints; implement power/ground, decoupling, and thermal/EMC requirements
Coordinate design, SI/PI, mechanical, manufacturing teams, and external PCB suppliers on stack-ups, materials, vias, cost, reliability, and manufacturability
Manage footprints, pad stacks, and ECAD libraries; improve request, naming, validation, approval, versioning, traceability, reuse, and obsolescence processes
Lead layout/DRC and DFM/DFA/DFT reviews, resolve supplier issues, and release Gerber/ODB++, drill, stack-up, drawing, placement, and BOM data
Requirements
Bachelor’s degree in Electrical/Electronic Engineering or equivalent
Night Duty ManagerNewMarriott · Phu Quoc, Vietnam