Senior Software Engineer (Perception Platform) at Motional

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Processing, Backend Development, Data Visualization, Software Engineering Principles, Machine Learning, AWS, Concurrency, Parallel Processing, Database Systems, Distributed Computing, Perception Systems, GPU-Accelerated Processing, ETL Development, Model Training, Model Evaluation

Industry

Motor Vehicle Manufacturing

Description

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers to join our team and contribute in advancing our machine learning (ML) perception pipelines. This includes large-scale data pipelines, evaluation & visualization tools and our active learning loop. Our large scale data pipelines are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car perception solutions. Our evaluation and visualization tools provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Our active learning loop continuously selects and incorporates high-value data to improve model accuracy and robustness over time. What You'll Be Doing: Support the creation, maintenance, and optimization of our internal data, training & evaluation pipelines, primarily using Python. Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle Develop and implement evaluation tools such as automatic reporting, regression discovery Develop and implement visualization tools & dashboards for data inspection and dataset distribution Work closely with cross-functional teams to orchestrate & facilitate the active learning workflow. Participate in design reviews and code reviews of the said team-owned pipelines Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance What We're Looking For: 2-4 years of professional software engineering experience BS or MS in Computer Science or a related technical field. Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas) Basic Experience with backend development Basic Experience working on data visualization tools or internal engineering dashboards. Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing method Bonus Points: Basic understanding of ML or perception metrics to support evaluation workflows Strong knowledge of AWS analytics services, particularly AWS Athena and AWS Glue, including data cataloging, ETL development, and query optimization Expertise in concurrency, parallel processing, and database systems Experience with distributed computing frameworks like K8s and Ray Proven track record of developing and deploying perception systems for autonomous vehicles or robotics Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Experience with building products with current LLMs, MCP protocols, etc Experience with GPU-accelerated data processing (e.g., RAPIDS/cuDF, BlazingSQL, or GPU databases) Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Responsibilities

Support the creation, maintenance, and optimization of internal data, training, and evaluation pipelines. Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle.