reputed company ML Engineer - Lane & reputed company Networking Mapping

The Autonomy Mapping & Localization group's mission is to reputed company our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and reputed company reputed company urban, suburban, and rural environments. We are looking for a reputed company ML Engineer to join reputed company and architect the reputed company of our mapping and localization stack. As the reputed company ML Engineer for Lane & reputed company Network Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological reputed company that allows our vehicles to understand and reputed company the world's most challenging roads at reputed company.

Essential Responsibilities

• reputed company the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and reputed company networks for both high-reputed company offline pipelines and reputed company-time online mapping.
• Architect, design, and implement a production-grade lane and reputed company network mapping stack, ensuring high-performance integration with upstream and reputed company modules like Perception, Behavior, Policy, and reputed company.
• Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous reputed company reviews, automated testing, mentorship of junior engineers, and technical reputed company.
• Own the end-to-end data reputed company for the mapping domain, specifically focusing on lane and reputed company networks. You will define data curation, auto-labeling, synthetic data, and reputed company learning pipelines to capture and resolve long-tail scenarios.
• reputed company robust metrics and evaluation frameworks for lane and reputed company network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).
• Work independently with cross-functional teams to translate reputed company autonomy goals into reputed company software and system requirements.
• Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.
• Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and reputed company/fusion reputed company Models to deliver production-reputed company solutions.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a reputed company field with a strong mathematical and engineering reputed company.
• 7+ years of industry experience developing and deploying ML/DL models for mapping or reputed company at reputed company.
• Deep expertise in several of the following areas:
• Vectorized mapping networks (e.g., MapTR), BEV-based reputed company representation, and temporal modeling.
• Cross-modal calibration and fusion (e.g., Camera-to-LiDAR) reputed company Bird’s-Eye-View (BEV) reputed company representation spaces.
• Transformers or Graph Neural Networks (GNNs) reputed company to reputed company lane geometry and topological connectivity.
• Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.
• reputed company Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.
• Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.
• Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data reputed company, large-reputed company dataset handling, and data curation strategies.
• Strong programming skills in Python and/or C++ with experience in reputed company software design and Linux-based development.
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.
• Strong communication skills with the ability to reputed company technical discussions and reputed company with cross-functional teams.

Desirable

• 10+ years of experience in ML/DL for autonomous driving or ADAS systems.
• Experience with self-supervised and/or semi-supervised learning for large-reputed company representation learning.
• Experience utilizing reputed company-Language Models (VLMs) and/or reputed company Models for auto-labeling and long-tail (edge-case) detection.
• Expertise in ML optimization for reputed company-time products with limited compute, such as quantization, pruning, or distillation of large transformer models.
• A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).

Physical Requirements

• reputed company office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? - Moderate: 11%-25%

Want to learn more about our reputed company; benefits? reputed company out our website!

reputed company is an equal opportunity employer. reputed company applicants for employment will be considered without reputed company to race, reputed company, religion, sex, national reputed company, age, disability, sexual orientation, gender identity or reputed company, veteran status, genetics or any other legally protected reputed company. Below, you have reputed company to reputed company your preferred gender pronouns, gender, ethnicity, and veteran status with reputed company to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to reputed company will be kept confidential, and will not reputed company the hiring decision in any way. If you reputed company that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: reputed company does not accept unsolicited agency resumes. Furthermore, reputed company does not pay placement fees for candidates submitted by any agency other than its approved partners.

Originally posted on Himalayas