The Role
Develop and deploy deep learning models for ADAS perception and sensor fusion using camera, LiDAR, and radar data. Responsibilities include model training, optimization, edge deployment, performance tuning, testing, validation, and edge-case analysis. Collaborate with systems, embedded software, validation, safety, and security teams to deliver production-ready autonomous driving solutions.
Summary Generated by Built In
About the Department:
- The Industrial Autonomy & Engineering (IA&E) unit drives digital transformation by delivering AI-enabled, software-defined, and secure intelligent products that enhance customer experience and performance.
- We collaborate with Automotive OEMs and Tier-1 suppliers to advance Software-Defined Vehicles using AI, IoT, cloud, and cybersecurity technologies.
About the Project:
- A multi-program engagement with a leading global Tier-1 supplier for end-to-end AD/ADAS system development.
- The team collaborates across project management, system architecture, software development, AI integration, system integration, validation, safety, and security to deliver scalable, high-quality, and production-ready ADAS solutions.
Role Overview:
- Develop and deploy AI/ML models for next-gen ADAS systems, enabling safe and intelligent autonomous driving.
Key Responsibilities:
- Design, train, and optimize deep learning models for perception and sensor fusion work with camera, LiDAR, and radar data for real-world ADAS applications
- Collaborate with system, embedded, and validation teams
- Support model deployment, performance tuning, and edge optimization
- Conduct testing, validation, and edge-case analysis
Requirements
Registration Qualifications:
- Strong experience in deep learning (PyTorch/TensorFlow) and Python
- Hands-on with ADAS perception models (object detection, segmentation)
- Experience with multi-sensor data and fusion techniques
- Knowledge of tracking/prediction models (eg, SORT, LSTM, Transformers)
Preferred:
- Experience in autonomous driving systems or edge deployment
- Exposure to modern AI (transformers, multi-models)
- Knowledge of large-scale data pipelines.
Language Requirements:
- Japanese/English both Advanced Business Level (Able to handle meetings independently, presentations, and discussions with clients and internal stakeholders).
Skills Required
- Strong experience with deep learning using PyTorch or TensorFlow
- Strong Python programming experience
- Hands-on experience with ADAS perception models, including object detection and segmentation
- Experience with multi-sensor data and sensor fusion techniques
- Knowledge of tracking and prediction models such as SORT, LSTM, or Transformers
- Advanced business-level Japanese and English proficiency
- Experience with autonomous driving systems or edge deployment
- Exposure to modern AI, including transformers and multi-models
- Knowledge of large-scale data pipelines
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The Company
What We Do
NexusCorp LLC (operating as Nexus Corporation) helps businesses achieve their goals through custom software development, IT consulting, statement-of-work delivery, contingent workforce and direct-hire solutions, and payroll services. It designs, builds, tests, and maintains scalable digital applications; analyzes systems to improve technology use; and supplies specialized professionals and structured project delivery. Its client-first approach emphasizes compliance, integrity, innovation, and tailored business outcomes.
