About Glimpse:

The last decade has been incredibly exciting for electric mobility. However, the electrification of the transportation industry has scaled while relying on an insufficient set of quality control tools. This has led to uncomfortably high rates of battery pack failure and multi-billion-dollar safety recalls. In our view, every headline of electric vehicles and e-bikes catching fire is a major impediment towards an all-electric future.

Founded in 2023 by ex-Tesla and Toyota employees, Glimpse is enabling battery quality at scale to support a safe and rapid transition to an electrified world. Visit glimp.se to learn more.

The Role:

Working closely with Glimpse's Chief Technology Officer, you will design and build image analysis algorithms that empower Glimpse's customers to quickly diagnose and improve the quality of their batteries. These automated algorithms will unlock key insights into our customers’ TB-scale imaging datasets and enable them to regain control over their manufacturing operations. These algorithms will serve as the core IP of our product.

Relevant skills

Python image processing stack (numpy, scipy, scikit-image, OpenCV, and equivalents)

Responsibilities:

• Design & Development: Design and implement measurement and detection algorithms to support our high-throughput battery quality monitoring pipeline.
• Innovation: Bring fresh ideas to the table, leveraging the latest computer vision technologies and frameworks to enhance our image analysis capabilities.
• Learning & Growth: Engage in continuous learning, keeping abreast of industry trends and emerging technologies in image processing and climate tech.

Location

We’re headquartered in Greentown Labs in Somerville, MA. As an early-stage startup working on hardware and software, we have a strong preference for being in the office more often than not.

Our culture and values

A working draft of our culture and values aspirations can be found here.

Requirements

• Python image processing stack (numpy, scipy, scikit-image, OpenCV, and equivalents)
• Excellent problem-solving abilities and attention to detail.
• Eagerness to work in a fast-paced, collaborative environment.

Nice-to-have

• Experience with image acquisition and analysis in medical, scientific, or manufacturing environments
• Experience with X ray imaging datasets
• Experience at high-growth, fast-paced startups

Interview process

1. Take home test (2 hours)
2. Behavioral + technical video call (1 hour)
3. One reference check

Benefits

• Competitive stipend and flexible work arrangements.
• Hands-on experience with state-of-the-art technology in the battery and climate tech industry.
• Mentorship from industry experts and opportunities for professional growth.
• A vibrant, inclusive, and supportive work culture.