Work In Tech

Summary/Role Purpose

The Senior R&D Engineer joins the Global CTO Office, contributes to the research, design and development of next-generation software products/support systems while working on innovative technologies including AI/ML/NLP/LLMs, Formal Methods, System Engineering, MBSE (Model Based Systems Engineering), Requirements Engineering etc.

In this role, you will use your expertise to execute and help in developing methodology plans, refine requirements and provide technical mastery in achieving development objectives.

Specifically, this position is targeted to build and execute intelligent solutions including incubating new product ideas along Design Synthesis, Reasoning, Completion, and Verification of Systems. Given the novelty of work, the candidate may not come with explicit knowledge of these advanced domains but should have adequate knowledge of product engineering from conceptualization to validation and have inquisitiveness to delve and deliver in uncharted product/knowledge space incrementally.

Key Duties and Responsibilities

• Contribute to research ideas via literature reviews, design ideas via systems thinking and development ideas via software building while working at the intersection of cutting edges technologies including AI/ML/NLP/LLMs, Formal Methods, System Engineering, MBSE, etc.

• Translate business needs into technical problem & deliver high quality software solution.

• Develop, execute, document, and maintain programming and algorithmic best practices.

• Operate with limited or no supervision as researcher/software architect/developer.

• Contribute to consulting services, internal training on new capabilities.

Minimum Education/Certification Requirements and Experience

• BS in Engineering in branches like Mechanical, Chemical, Computer Science, Electronics, Electrical or related field with 4 years’ experience, MS with 3 years’ experience, or a PhD with 1 year of experience.

Preferred Qualifications and Skills

• Experience in Python programming, Algorithm development, Cloud technologies.

• Technical Knowledge and working experience of AI/ML and it’s application in scientific world.

• Familiarity with System Engineering/MBSE/NLP/LLMs/Formal Methods.

• Experience leading projects and delivering high-quality products in a large-scale commercial software development environment.

• Ability to overcome obstacles and drive projects to completion.

• Expertise in Mathematical Modelling/Physics Simulations