Pensees Systems Pte Ltd – AI Software Engineer Intern

Pensees Systems Pte Ltd
AI Software Engineer Intern
Date Listed
08 Apr 2024
Job Type
Entry Level / Junior Executive
Job Period
Flexible Start, For At Least 3 Months
IT / Information Technology
Artificial Intelligence / Smart Automation
Location Name
85 Science Park Drive, Singapore
85 Science Park Dr, Singapore Science Park 1, Singapore 118259
Allowance / Remuneration
$1,200 - 2,000 monthly
Company Profile

At Pensees System, we are at the forefront of AI Technology and AI Solution development and deployment. Our expertise spans across machine learning, deep learning, Computer Vision, AI Generated Content (AIGC), and IoT technology. With a focus on deep learning-based computer vision, we have cemented our position in various industries, particularly in security and beyond.

Our latest venture involves creating the world-leading AIGC platform, tapping into our extensive experience in AI content creation, multi-model learning, and SaaS platform development. Join us in shaping the future of AI and revolutionizing industries through innovation and advanced technology.

Job Description

Pensees R&D team is searching for an outstanding software engineer intern to build the AIGC framework of the future. Join us in developing the AIGC platform for supporting both the server and edge devices. We are looking for a dedicated engineer intern with expertise in GPU programming and performance optimizations. Are you creative, quick to come up with innovative solutions, and eager to apply your skills to empower developers to take advantage of novel technology? If you love the craft of software engineering and relish the chance to impact the future of the industry, this role may be perfect for you.


Key Responsibilities:

  • Contribute to the development of AIGC framework by enabling performance optimizations and GPU acceleration within the compiler and runtime.
  • Partner with engineers, product managers, and application teams to build and refine tools that accelerate groundbreaking research
  • Solve difficult problems at the intersection of compilers, application and edge computing and deliver optimal solutions
  • Discuss and refining software designs and implementation strategies with peers
  • Improving processes and infrastructure to accelerate our development and contribute to the success of the company

Job Requirements:

  • University study including PhD, Master or Bachelor in computer science, data science, Electrical Engineering, artificial intelligence, or related field
  • Good in GPU programming either using NVIDIA CUDA libraries such as CUBLAS, CuDNN or NPP, or using Apple low level libraries such as Metal, MPS or MPS Graph
  • Good with Python, C++, Objective C or Swift programming
  • Solid understanding of performance profiling, AI model optimizations, and compiler fundamentals
  • Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges.
  • Strong communication and collaborative abilities along with analytical and problem, solving skills


  • Preference will be to candidates with the following qualifications:
  • Staying abreast of the latest advancements in deep learning frameworks like TensorFlow, PyTorch or JAX, maximizing their potential on GPUs
  • Good knowledge about the testing and deployment of infrastructures, and a passion for improving sophisticated engineering systems
  • Experience in parallel programming and multi-processor systems
  • Ability to work on large-scale software projects, and a proven track record of building performant and robust production software
Application Instructions
Duration and Application: To apply, please send your updated resume, cover letter, and any relevant portfolios or work samples to . In your cover letter, kindly mention your motivation to intern with Pensees System and the specific area of interest (AI Software Engineer Intern).

More information of the company can also be found at

Related Company Review:

Pros: Nice culture and everyone is willing to help one another Locations is convenient
Cons: I cant think of any
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