Live opening · Posted 22 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About The Company
Nodi is an innovative leader in the field of materials science, dedicated to advancing research and development through cutting-edge technology and automation. Our organization specializes in creating autonomous laboratories that leverage robotics, AI, and cloud computing to accelerate scientific discovery. At Nodi, we are committed to fostering a collaborative and dynamic environment where talented professionals can make a meaningful impact on the future of materials research. Our mission is to streamline and revolutionize laboratory operations, enabling scientists to focus on groundbreaking innovations while our technology handles the complexities of data collection, analysis, and process automation.
About The Role
We are seeking a highly experienced Senior Software Engineer to join our team and take ownership of the core infrastructure that powers our self-driving laboratory. This role involves developing and maintaining the execution planner, lab coordination services, and compute infrastructure that are critical to our autonomous research environment. The successful candidate will play a key role in shaping the technical direction of our systems, ensuring their reliability, scalability, and efficiency. You will collaborate closely with robotics, hardware, and data science teams to push the boundaries of materials science and automation. This position offers an exciting opportunity to lead projects across distributed systems, develop scalable backend solutions, and operate within a modern cloud and bare-metal Kubernetes environment, contributing significantly to Nodi's innovative ecosystem.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Extensive experience in designing, developing, and maintaining complex distributed systems.
Strong proficiency in cloud computing platforms such as AWS, GCP, or Azure.
Hands-on experience with Kubernetes and container orchestration technologies.
Proficiency in programming languages such as Python, Go, or Java.
Solid understanding of automation, CI/CD pipelines, and infrastructure as code (IaC).
Experience working in a robotics or hardware-integrated environment is a plus.
Excellent problem-solving skills and the ability to work effectively in a collaborative team setting.
Strong communication skills to articulate complex technical concepts clearly.
Responsibilities
Design, develop, and maintain the core infrastructure components, including execution planners and lab coordination services.
Ensure the reliability, scalability, and security of the lab’s compute and automation systems.
Collaborate with robotics, hardware, and data science teams to integrate software solutions with physical systems.
Lead efforts in deploying and managing cloud-based and bare-metal Kubernetes environments.
Implement automation pipelines and infrastructure as code to streamline development and deployment processes.
Monitor system performance, troubleshoot issues, and implement improvements proactively.
Contribute to technical documentation and best practices for the engineering team.
Stay updated with emerging technologies and industry trends to continuously enhance system capabilities.
Benefits
Competitive salary and comprehensive health insurance packages.
Opportunities for professional growth and development in a cutting-edge technological environment.
Flexible work hours and remote work options to support work-life balance.
Participation in innovative projects that have a tangible impact on scientific research.
Collaborative and inclusive company culture that values diversity and new ideas.
Access to state-of-the-art tools, resources, and training programs.
Paid time off and holiday leave to promote well-being and work-life harmony.
Equal Opportunity
Nodi is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, religion, sexual orientation, or disability. We believe that a diverse team enhances creativity, innovation, and overall success. We are dedicated to providing a supportive environment where every employee can thrive and contribute to our mission of revolutionizing materials science through automation and technology.
Work arrangement
Yes
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