Dew Software is seeking a highly skilled and experienced Staff Mechanical Engineer to join our team. As a Staff Mechanical Engineer at Dew Software, you will play a key role in designing and developing innovative mechanical systems and components for various applications. You will collaborate with cross-functional teams and work closely with clients to deliver high-performance solutions. With a dedication to excellence and cutting-edge technologies, Dew Software offers exciting opportunities to work on challenging projects for Fortune 500 companies.
Responsibilities
- Lead and oversee the design and development of mechanical systems and components
- Create and review detailed engineering drawings, specifications, and documentation
- Conduct feasibility studies, simulations, and analysis to ensure proper design fit, functionality, and performance
- Collaborate with cross-functional teams, including electrical engineers, industrial designers, and manufacturing professionals
- Manage and coordinate project timelines, resources, and deliverables
- Conduct testing, validation, and troubleshooting of mechanical systems and components
- Stay up-to-date with industry trends, advancements, and best practices in mechanical engineering
- Ensure compliance with design standards, regulatory requirements, and quality assurance
Requirements
Hands on experience in Designing electromechanical products
Good exposure on UL/IEC and related standards.
Good Exposure on plastics, Sheetmetal, casting part design and manufacturing process
Expert in tolerance stack up analysis
Good understanding on cable assemblies,
Good experience in ECAD/MCAD integrations
Good exposure on structural and thermal design considerations
Good Exposure on DFX for high volume production
Good exposure on prototype techniques for Design development and verification
Expertise in SolidWorks and EPDM. Knowledge on any other CAD packages will be an added advantage.
Designing new components and products, sometimes as sole contributor but often as part of a team of contributors
Reviewing and analyzing solutions to achieve the best outcome for performance/cost/schedule
Mechanical Design verification test: Testing proof-of-concepts and prototypes for performance
Failure analysis and root cause identification
Component review and approval, including global travel to be on-site at vendors during pre- production
Generating own (and reviewing others) documentation, including concept proposals, analysis reports, component specifications, review minutes
Ensure quality by Design
Experience in the design and sustaining activities on high-volume products (+500k pa) would be a plus and also previous employment in high-power and consumer products industries would be a plus.
Benefits
- Azure Infrastructure Experience: Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment
- CI/CD Pipeline Experience: Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes
- Containerization in the Cloud: Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models
- Machine Learning Expertise: Proficient in building and optimizing machine learning models, with a deep understanding of various ML algorithms and frameworks
- Programming Skills: Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch
- Data Management: Experience in data preprocessing, feature engineering, and data pipeline development for machine learning
- Collaborative Team Player: Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs
- Documentation: Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses
