Principal Software Engineer

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading autonomous driving technology company in Singapore is looking for a Machine Learning Engineer to enhance their self-driving vehicles. You will define mapping projects, develop ML models, and deploy solutions in a cutting-edge environment. A Master's or Ph.D. is required along with 7+ years of software engineering experience. Familiarity with object detection, deep learning frameworks, and Python is essential. This role offers significant career growth opportunities within a fast-growing team.

Qualifications

• 7+ years of professional software engineering experience.
• Experience with designing and deploying ML solutions for autonomous vehicles.
• Proven track record of publications in relevant conferences.

Responsibilities

• Define and execute semantic scene mapping projects.
• Develop machine learning models using sensor data.
• Productionize and deploy solutions onto autonomous vehicle fleets.
• Collaborate with other teams to improve product performance.

Skills

Real-time object detection

Deep learning frameworks (TensorFlow, PyTorch)

Fluency in Python

Software engineering principles

Communication skills

Education

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

Tools

LIDAR

RADAR

C++

Job description

On our Map Semantics team, you will have the opportunity to work with world-class machine learning (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 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
• Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve your products’ on-road performance

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• 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++