Job Description

Job Description

Job Description

At HyperSpectral, we leverage advanced machine learning and spectral analysis to turn complex data into actionable insights. As a Device Software Engineer Intern, you’ll help advance our AI-powered spectral robotics platform by developing desktop software and integrating third-party devices with our client and cloud systems. 

As Device Software Engineer Intern, you’ll have the opportunity to work closely with experienced engineers across software, hardware, and data science disciplines. You’ll gain hands-on experience with embedded systems, device integration, and AI-driven automation in a fast-paced, innovative startup environment. 

Education and Experience

• Education:  
• Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field. 
• Technical Skills:  
• Basic to intermediate experience in one or more programming languages such as C#, Python, or JavaScript. 
• Familiarity with embedded platforms (Arduino, Raspberry Pi, Jetson). 
• Understanding of software–hardware integration and communication protocols (e.g., serial, USB, I2C, SPI). 
• Exposure to APIs, cloud platforms, and DevOps tools (AWS, Azure, or similar) is a plus. 
• Interest in AI/ML models, computer vision (OpenCV), or spectral imaging. 
• Experience with SolidWorks or 3D printing for rapid prototyping is an asset. 

Responsibilities

• Assist in the design, development, and testing of embedded and desktop software for device control, spectral data acquisition, and system automation. 
• Support implementation and optimization of systems using Arduino, Raspberry Pi, and Nvidia Jetson platforms. 
• Help develop and test APIs and system integration for real-time data collection and control of optical devices. 
• Contribute to prototyping and automation projects, including interfacing with motors, sensors, and actuators. 
• Support data analytics and visualization workflows, including Python-based processing of spectral and image data. 
• Document system configurations, communication protocols, and testing results. 
• Stay current on emerging trends in AI, robotics, and hyperspectral imaging.

Requirements

• Curious, proactive, and eager to learn new technologies. 
• Strong problem-solving skills and attention to detail. 
• Effective communication and collaboration within cross-functional teams. 
• Comfortable working in a dynamic startup environment with evolving priorities. 

Physical Requirements

• Able to maintain a stationary position for prolonged periods, whether sitting or standing. 
• Manual dexterity and precision for handling and programming delicate equipment. 
• Good visual acuity and the ability to discern colors for tasks such as wire coding and LED status indication. 
• Capable of wearing personal protective equipment as necessary for safety compliance. 

  WHAT WE OFFER:

-Hands-on experience in embedded systems, robotics, and AI-driven imaging technologies. 

-Exposure to full lifecycle development—from design to testing and deployment. 

-Mentorship from experienced engineers and scientists. 

-The chance to contribute to cutting-edge innovations in spectral sensing and MedTech. 

-The opportunity to work with a cutting-edge AI-powered technology company 

-Collaborative and innovative work environment 

-Opportunities for professional growth and development. 

On-site requirement: This position is based at our Cambridge, Massachusetts laboratory and requires in-person attendance. Relocation assistance is not anticipated at this time.

 

Applicants must be U.S. citizens. We do not sponsor H-1B or any other employment visas for this position.  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Tags

H1b, Work visa, Relocation package,

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