Eternal Robotics is transforming industrial automation through AI, Computer Vision, and Deep Learning. Our flagship platform, Hypervise, enables manufacturers to improve productivity, quality, and operational efficiency by integrating cutting-edge Industrial AI solutions. We are looking for an experienced Engineering Manager to lead cross-functional engineering teams and drive the successful delivery of enterprise-scale AI and software solutions.
Responsibilities
- Lead and mentor engineering teams across Computer Vision, AI/ML, and Full Stack development.
- Define technical scope and architecture in collaboration with Solution Architects.
- Oversee end-to-end software development lifecycle from design to deployment.
- Drive engineering excellence, code quality, scalability, and performance.
- Resolve technical bottlenecks and manage project dependencies.
- Collaborate with Project Managers and client stakeholders to ensure successful project execution.
- Implement engineering best practices, CI/CD, and quality assurance processes.
- Foster innovation and continuously improve engineering processes.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of software engineering experience.
- Minimum 4 years of experience leading engineering teams.
- Strong experience in enterprise software development across Cloud, On-Premise, or Hybrid environments.
- Hands-on expertise in AI/ML, Computer Vision, and Full Stack technologies.
- Strong leadership, stakeholder management, and problem-solving skills.
- Experience working in Agile/Scrum environments.
Benefits
- Build cutting-edge AI and Industrial Automation solutions.
- Lead high-impact engineering teams.
- Work on enterprise-scale Computer Vision and AI projects.
- Collaborate with talented engineers and technology leaders.
- Opportunity to shape next-generation smart manufacturing solutions.
Additional details
- Technical Skills: Python, Java, C++, Node.js, JavaScript (React/Angular), TensorFlow, PyTorch, OpenCV, AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Terraform, Git, Jenkins, Ansible, SQL, PostgreSQL, MongoDB, NoSQL, Jira, Confluence, Trello
- Skills: Engineering Management | Artificial Intelligence | Computer Vision | Machine Learning | Full Stack Development | Cloud Computing | Python | AWS | Azure | Kubernetes | Docker | OpenCV | TensorFlow | PyTorch | Agile | Scrum | Technical Leadership | Stakeholder Management | Enterprise Software | Industrial Automation
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