Software Engineer contributing to design and development of features for Simpro Group SaaS products. Collaborating with teams to create scalable and reliable solutions.
About the role
- Lead VP of Software Engineering at Precision Neuroscience, overseeing software development for brain-computer interfaces. Collaborate with R&D teams to integrate advanced machine learning algorithms.
Responsibilities
- Oversee all Software Engineering projects and initiatives, ensuring our products are safe, effective, and secure, and delivered on time and on budget
- Define the overall software development practices that support high-quality and timely delivery of Precision’s software roadmap
- Successfully partner across the organization, particularly with device hardware and ML R&D teams, to achieve overall company objectives
- Review technical designs and sign-off on development plans for key software initiatives, especially those involving device integration and the implementation of ML algorithms
- Communicate effectively to both technical and non-technical audiences to ensure alignment with software team goals, milestones, and risks
- Build and grow a high-performing software organization through hiring, developing people, and creating a strong team culture that retains key talent
Requirements
- 15+ years’ experience in software development in a medical device environment (preferably Class III), including 10+ years’ experience as a director or above
- Bachelor’s degree or above in computer science, ECE or related field
- Proven track record of building and scaling high-performing teams supporting full life-cycle software development through commercialization
- Experience in developing a scalable systems architecture that supports cross-platform software development including desktop, mobile and cloud environments
- Experience interfacing with embedded systems teams and supporting software-hardware integration
- Knowledge and application of medical device software development standards, such as IEC 62304, and FDA guidance on software development, usability and cybersecurity
- Successful track-record of working in fast-paced and interdisciplinary engineering teams
- Strong experience collaborating with Quality and Regulatory working groups preferred
- Familiarity with modern machine learning concepts and collaboration with ML R&D teams is a plus
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead Software Engineer at Simpro Group responsible for designing and developing scalable applications. Providing technical direction and mentorship while ensuring high - quality product delivery in a collaborative environment.
Technical Lead Engineer overseeing HVDC engineering projects at Hitachi Energy. Collaborating on design, contract management, and construction support while ensuring compliance with regulations.
Senior Embedded Software Developer at NewTec working on safety - critical systems in diverse industries. Leading project teams and developing embedded software solutions with a societal impact.
Software Engineer at Contour Education, creating impactful software solutions for students. Collaborating on full - stack features and enhancing the Learning Portal experience.
GPU Performance Engineer in Micron's Smart Manufacturing and AI team. Focusing on large - scale modeling, optimization, and deployment of AI solutions in their memory solutions.
Senior Project Engineer leading Smart Manufacturing projects at Cargill to enhance process efficiency. Focus on engineering new technologies and improving existing manufacturing systems.
Backend infrastructure developer working on software that powers kiosks for global checkout experience. Join a high - impact team at Mashgin to create innovative AI solutions.
Senior Software Engineer at Nuix developing solutions for eDiscovery and data governance. Collaborating in Agile teams to deliver software projects with a focus on performance and reliability.
Full Stack Developer Intern assisting in web application development for Seagate's AI transformation projects. Collaborating with Data Scientists and developers on front and back - end technologies.