Job Title: ML Systems Engineer
Work location: Singapore
Department: CoreIP
Position Overview:
Black Sesame Technologies is seeking motivated and talented individuals to join our team as AI Systems Engineer (Embedded Platforms). This position offers an exciting opportunity to work on cutting-edge technologies for autonomous vehicles and robotics. We are looking for individuals who are eager to learn, innovate, and contribute to deploying AI solutions on embedded platforms such as NVIDIA Orin.
Responsibilities:
Model Deployment:Deploy machine learning models on embedded platforms (e.g., NVIDIA Orin) with a focus on applications in autonomous vehicles and robotics.
Optimization: Optimize and tune the performance of deep learning models to ensure maximum efficiency and minimal latency.
Collaboration: Work closely with data scientists and hardware engineers to translate AI algorithms into production-ready code.
Real-Time Monitoring:Implement real-time performance metrics monitoring and develop strategies for continuous improvement.
Innovation: Stay updated on the latest industry trends, technologies, and advancements in AI, machine learning, and embedded systems.
Technical Leadership: Provide guidance and technical expertise in the deployment of AI systems on embedded platforms.
Qualification/ Requirements:
- Education: Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Experience: Proven experience in deploying and optimizing deep learning models on embedded systems.
- Programming Skills: Strong proficiency in Python, C++, and CUDA.
- ML Frameworks:In-depth knowledge of machine learning frameworks such as PyTorch, TensorRT, and hardware accelerators.
- Problem-Solving: Strong problem-solving skills, critical thinking, and a proactive approach to tackling technical challenges.
- Teamwork: Excellent communication skills and the ability to collaborate effectively with cross-functional teams.