Principal Software Engineer, Team Lead - Map Semantics

Motional; Singapore; On-site; SGD 100,000 - 120,000; Full time

Job summary

A leading autonomous driving technology company in Singapore is seeking a seasoned engineering leader to drive semantic scene mapping projects. This role involves managing a skilled team and deploying solutions to improve self-driving vehicles’ localization capabilities. Candidates should have at least 7 years of software engineering experience and expertise in machine learning frameworks, including TensorFlow and PyTorch. Successful candidates will be adept communicators and exhibit a strong track record in developing ML solutions for autonomous technologies.

Qualifications

• 7+ years of professional software engineering experience.
• Minimum 3 years of leadership in managing engineering teams.
• Proven track record of designing ML solutions for autonomous vehicles.

Responsibilities

• Define and execute projects for semantic scene mapping.
• Lead and manage a team of engineers.
• Communicate strategies and challenges to leadership.

Skills

Leadership

Software engineering

Deep learning frameworks

Fluency in Python

Real-time object detection

Communication

Education

Masters or Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

C++ and/or CUDA

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