Research Engineer II (Trust Technologies)

Posted:
7/28/2024, 5:00:00 PM

Location(s):
Singapore, Singapore

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Software Engineering

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

  • Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.

  • Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.

  • Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.

  • Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.

  • Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

  • Master’s degree in computer science/ engineering or related fields required.

  • Minimum of 5 years continuous working experience in a similar role will be considered when appropriate.

  • Bachelor degree with minimum 8 years relevant experience may be considered.

  • Proficiency in programming languages Java, C/C++ is a must. 

  • Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.

  • Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.

  • Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must. 

  • Proficiency in installing, configuring and using SQL database is a must.  Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage. 

  • Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must. 

  • Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.

  • Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.

  • Ability to work independently and to develop solutions under strict timelines is a must.

  • Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.

  • Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.

  • Familiarity with general API security concepts (such as key validation, authentication, authorisation)

  • Good understanding of relational database and Unix shell scripting skills.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU