Algorithm Developer

As a Senior Engineer 2 (Data Scientist - Sensors and), you will be responsible for leveraging your expertise in simulation, algorithm development, and advanced engineering principles to support new product development initiatives. Your role will involve a unique combination of data science, mechanical engineering, and computational modeling skills, with hands-on experience in simulation tools such as Abaqus, Ansys, and CAMSOL, sensor integration, and fluid/thermal dynamics. Key Responsibilities: - Drive data-driven modeling and simulation for product design and validation using Abaqus, Ansys, and CAMSOL. - Develop and implement algorithms for sensor data processing, predictive modeling, and performance optimization. - Perform multiphysics simulations including thermodynamics and fluid dynamics to support R&D projects. - Collaborate with cross-functional teams to integrate sensors and predictive algorithms into product prototypes. - Drive new product development by applying data science techniques and engineering simulation tools to accelerate design cycles. - Utilize C# programming to develop custom tools, automation scripts, and interfaces for simulation and data processing. - Research emerging technologies, methods, and tools to enhance product innovation and maintain a competitive edge. - Prepare technical reports, present findings, and provide recommendations for design improvements. - Mentor junior engineers and contribute to building internal expertise in simulation-driven design and applied data science. Required Skills & Qualifications: - Proficiency in Abaqus, Ansys, and CAMSOL for advanced engineering simulations. - Strong understanding of thermodynamics, heat transfer, and fluid dynamics. - Hands-on experience with sensor data acquisition and integration. - Expertise in algorithm development for predictive modeling, optimization, and data analytics. - Strong programming skills in C# (preferred), Python, or MATLAB. - Experience in R&D projects and new product development within engineering or manufacturing domains. - Ability to translate complex data and simulations into actionable design insights. - Strong analytical, problem-solving, and innovation mindset. - Excellent communication and collaboration skills across multidisciplinary teams. Preferred Skills: - Bachelors or Masters degree in Mechanical Engineering, Aerospace Engineering, Data Science, or a related discipline (PhD preferred). - 5+ years of experience in engineering simulation, data-driven design, and R&D. - Proven track record of delivering projects involving simulation, sensors, and algorithm development. - Industry background in automotive, aerospace, energy systems, or high-tech product development is desirable.,