F1-OPT Software Engineer, Robot Cloud Platform

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Dexian Inc, so some details may not match this job. The employer's own page has the real description.

Job Overview

The F1-OPT Software Engineer for the Robot Cloud Platform at Dexian Inc. will play a critical role in the development, deployment, and maintenance of advanced cloud-based robotic solutions. The candidate will work closely with cross-functional teams to create scalable software applications that enhance the operational capabilities of robotic systems. This position demands a strong foundation in software engineering principles and a passion for innovation in cloud technologies and robotics.

Job Responsibilities

• Design, develop, and implement cloud-based applications for robotic systems.
• Collaborate with hardware engineers and product managers to define requirements and specifications.
• Write clean, maintainable, and efficient code while following best practices in software engineering.
• Conduct testing and debugging to ensure software reliability and performance.
• Integrate cloud service solutions with existing robotic frameworks.
• Document development processes, code changes, and system architectures.
• Stay updated with emerging cloud technologies and incorporate them into projects as needed.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field.
• 1-3 years of experience in software development, ideally within cloud platforms and robotics.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with cloud services like AWS, Azure, or Google Cloud.
• Strong understanding of software development methodologies, such as Agile or Scrum.
• F1-OPT work authorization status is required.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The ideal candidate will utilize a variety of technologies and tools including cloud platforms (AWS, Azure, Google Cloud), programming languages (Python, Java, C++), as well as version control systems such as Git. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes is also advantageous. Knowledge of robotic programming frameworks and APIs will be essential for interfacing cloud applications with robotic components.

Ideal Candidates

Successful candidates will possess a strong technical background with a keen interest in cloud technology and robotics. They should demonstrate creativity and initiative in problem-solving, the ability to thrive under pressure, and an eagerness to learn and adapt to new challenges. Additionally, excellent communication skills are essential to effectively collaborate with team members and stakeholders, fostering a culture of innovation and teamwork within the organization.