Staff Mechanical Engineer

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

Ø  Hands on experience in Designing electromechanical products

Ø  Good exposure on UL/IEC and related standards.

Ø  Good Exposure on plastics, Sheetmetal, casting part design and manufacturing process

Ø  Expert in tolerance stack up analysis

Ø  Good understanding on cable assemblies,

Ø  Good experience in ECAD/MCAD integrations

Ø  Good exposure on structural and thermal design considerations

Ø  Good Exposure on DFX for high volume production

Ø  Good exposure on prototype techniques for Design development and verification

Ø  Expertise in SolidWorks and EPDM. Knowledge on any other CAD packages will be an added advantage.

Ø  Designing new components and products, sometimes as sole contributor but often as part of a team of contributors

Ø  Reviewing and analyzing solutions to achieve the best outcome for performance/cost/schedule

Ø  Mechanical Design verification test: Testing proof-of-concepts and prototypes for performance

Ø  Failure analysis and root cause identification

Ø  Component review and approval, including global travel to be on-site at vendors during pre- production

Ø  Generating own (and reviewing others’) documentation, including concept proposals, analysis reports, component specifications, review minutes

Ø  Ensure quality by Design

Ø  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.

Last updated on Jul 23, 2024