Staff Software Engineer NPI

About This Role

Lead manufacturing software development activities, focusing on AI technologies and solutions for the manufacturing environment within the Robotics & Digital Solutions team. This role involves designing and implementing automated tests for robotic hardware, mentoring junior engineers, and ensuring software quality.

Responsibilities

• Investigate and develop AI technologies and solutions to the manufacturing environment
• Collaborate with cross-functional teams to identify and implement AI/ML solutions to improve business processes and user experiences
• Implement and maintain cloud computing infrastructure
• Perform data analysis and preprocessing to support model training, including handling large datasets and cleaning raw data
• Stay up-to-date with the latest trends and advancements in AI/ML research
• Document and communicate technical processes, models, and results to both technical and non-technical stakeholders
• Mentor Junior SW Engineers
• Design and implement automated unit and integration test for robotic hardware and/or PCAs
• Lead Manufacturing Software development activities across the organization and functional groups
• Manage the development and deployment of our automated test infrastructure

Requirements

• B.S. or higher in Computer Science or Computer Engineering (or similar degree)
• 7+ years work experience in medical robotics industry
• Strong proficiency in Edge Computing and Cloud Computing
• Familiarity with model deployment and scaling in multiple cloud environments (AWS, Azure, Google Cloud)
• Experience working on instrumentation automation and using scripting languages such as Python, Shell, Batch, Bash or Linux commands
• Experience with version control systems such as Git
• Experience in Product lifecycle Management systems such as Oracle Agile
• Ability to travel up to 10% to contract manufacturers is required

Qualifications

• B.S. or higher in Computer Science or Computer Engineering
• 7+ years work experience in medical robotics industry

Nice to Have

• Experience in developing AI-based applications such as natural language processing (NLP) generative AI in Small language models, computer vision, or recommendation systems
• Knowledge of deep learning techniques, reinforcement learning, and neural networks or other advanced machine learning paradigms
• Familiarity with MLOps principles and tools for automating machine learning workflows
• Knowledge of database systems (SQL, NoSQL) and data storage solutions
• Experience in Smart manufacturing, cyber physical system and applications of Industrial IoT Devices in manufacturing environments
• Knowledgeable and current with Industry automation trends and technologies
• Experience working on medical devices industries
• Familiarity working on Advanced automation including articulated robotics

Skills

* Required skills

Benefits