Principal Software Engineer, Team Lead - Map Semantics

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading autonomous driving technology company in Singapore seeks a seasoned leader for the Map Semantics team. The role involves defining semantic scene mapping projects and managing a team of engineers. The ideal candidate has extensive experience in software engineering, object detection, and deploying ML solutions. A master's or Ph.D. in Computer Science is required, along with a proven track record in industry publications. Join us in redefining autonomous vehicle technology.

Qualifications

• Minimum 3 years of proven leadership in managing engineering teams.
• 7+ years of professional software engineering experience.
• Proven track record of publications in relevant conferences.

Responsibilities

• Define and execute semantic scene mapping projects.
• Lead, manage and grow a team of engineers.
• Productionize and deploy solutions onto autonomous vehicle fleets.

Skills

Leadership in engineering teams

Software engineering

Real-time object detection

Deep learning frameworks

Fluency in Python

ML solutions for autonomous vehicles

Excellent communication skills

Education

Masters or Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

C++

Job description

On our Map Semantics team, you will have the opportunity to work with world‑class ML engineers, whose mission is to make self‑driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi‑modal data, enabling mapping and real‑time localization. These objects include lane lines, stoplights, traffic signs and other structures in the built environment. We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast‑growing company.

What You’ll Be Doing:

• Define and execute semantic scene mapping projects that improve our self‑driving vehicles’ capability to efficiently map roadways and localize itself using autonomous vehicle and remote sensing data
• Lead, manage and grow a team of engineers
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve your products’ on‑road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Minimum 3 years of proven leadership in managing and guiding engineering teams to execute large, complex technical initiatives
• 7+ years of professional software engineering experience.
• Experience with real‑time object and scene element detection
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Extensive experience in metrics design and metrics driven technology development
• Excellent communication and interpersonal skills
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.

Bonus Points:

• Familiarity with multi‑view geometry, factor graph optimization / bundle adjustment
• Experience with embedded systems and real‑time optimization, especially in the autonomous driving industry
• Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
• Experience with change detection and updating maps based on newly collected data
• Experience with un/self/semi/weakly‑supervised learning techniques
• Strong programming skills in C++ and/or CUDA programming