Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Responsible to lead requirement engineering and define the end-to-end system architecture. The right candidate will be proactive, with great communication skills, demonstrate attention to detail, have a passion for technology, and an excitement to produce great products. Responsible for owning and leading infotainment projects.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Must Have
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Experience in SDV, automotive software, or automotive electronic systems development.
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Hands-on experience in system architecture design and requirement engineering.
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Strong understanding of Linux, AUTOSAR, Android Automotive platforms.
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Knowledge of cloud-connected architecture using AWS, Azure, or GCP.
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Understanding of AI/ML systems, especially computer vision and Generative AI technologies.
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Knowledge of in-vehicle communication technologies such as CAN, Ethernet, SOME/IP, and DDS.
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Business-level communication skills in English for technical discussions.
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Understanding software lifecycle management, CI/CD, DevOps, and MLOps practices.
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Ability to drive projects across multiple stakeholders and organizations.
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English - Business Level
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Willing to travel based on requirement.
Good to Have
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Experience in ADAS/AD, automotive camera systems, LiDAR, or Driver Monitoring Systems.
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Experience with LLMs, multimodal AI, or AI agent technologies.
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Knowledge of edge AI platforms such as CUDA, TensorRT, and NVIDIA DRIVE.
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Experience with OTA platforms, software deployment systems, and vehicle cloud operations.
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Experience with ISO 26262, ASPICE, and ISO/SAE 21434 compliance activities.
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Knowledge of cloud-native technologies including Kubernetes, Docker, and Data Lake architecture.
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Experience in prototyping using Python and/or C++.
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Experience collaborating with automotive OEMs or Tier1 suppliers.
