Career Opportunity: Hardware Research Engineer (3-5 Yrs)

Qure.ai
Applicants0
Postedabout 1 month ago

Job Highlights

Experience3 - 5 Yrs
Salary6-11 LPA
LocationThiruvananthapuram
Work ModelRemote
RoleHardware Research Engineer
Openings3
EmploymentContract
EducationMCA

Required Skills

Embedded Systems DesignPCB Design & LayoutMicrocontroller Programming (e.g., ARM, ESP32)FPGA DevelopmentHardware Debugging & TroubleshootingSignal ProcessingData Acquisition SystemsFamiliarity with AI/ML Hardware Accelerators (e.g., GPUs, TPUs)Proficiency in C/C++Experience with Hardware Description Languages (VHDL/Verilog)Problem-SolvingAnalytical ThinkingTeam CollaborationCommunication SkillsB.Sc in Electrical Engineering, Computer Engineering, or related field

Job Description

Role Summary: We are seeking a passionate and skilled Hardware Research Engineer with 3-5 years of experience to join our innovative team in Thiruvananthapuram. You will be instrumental in researching, designing, and prototyping novel hardware solutions that support our cutting-edge AI-driven healthcare applications. This role requires a strong foundation in hardware principles and a keen interest in applying them to solve real-world medical challenges. A Bachelor of Science degree in a relevant field is essential.

Key Responsibilities:

Conduct research into emerging hardware technologies relevant to AI and medical devices.

Design and develop hardware prototypes for new product concepts and features.

Evaluate and select appropriate hardware components based on performance, cost, and reliability requirements.

Collaborate with software and AI teams to integrate hardware with algorithms and systems.

Perform testing and validation of hardware designs, identifying and resolving issues.

Document design specifications, test results, and technical reports.

Stay abreast of industry trends and advancements in hardware engineering and medical technology.

About Qure.ai

Qure.ai is a leading AI healthcare company that develops advanced AI solutions for medical imaging analysis. Founded in 2016, it is a subsidiary of PharmEasy, a prominent Indian e-pharmacy. Qure.ai's technology assists radiologists and clinicians in diagnosing diseases faster and more accurately, improving patient outcomes and healthcare accessibility, particularly in underserved regions. Their AI models are deployed globally, aiding in the detection of various conditions like tuberculosis, lung nodules, and neurological disorders.

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