Job Description:

Nextracker is the leading provider of intelligent solar tracking systems, offering advanced solutions that optimize the performance and reliability of utility-scale solar power plants around the world. Our technology enables maximum energy yield, grid resilience, and operational efficiency—supporting a more sustainable energy future.

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Key Responsibilities:

Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
Preprocess and annotate image datasets for training and validation.
Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
Analyze model performance and contribute to iterative improvements.
Document findings, experiments, and best practices.

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Preferred Qualifications:

Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
Familiarity with image processing techniques and computer vision concepts.
Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
Excellent problem-solving skills and a collaborative mindset.

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The hourly rate for this position is $45-50/hr

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About the company

Nextracker

Company overview

Nextracker builds technology used in large-scale solar power plants, best known for solar tracking systems that move panels to follow the sun. The company also sells adjacent hardware and software, including foundations, electrical balance-of-system products, and monitoring and controls tools. Nextracker serves solar developers, EPCs, and asset owners across multiple regions, with a focus on improving energy yield and lowering project risk. The company operates globally with engineering, manufacturing, and services footprints in several markets.

Locations and presence

Nextracker is headquartered in Fremont, California, and lists roles across locations including the US, India, Brazil, China, and Europe. Most openings are tied to specific sites, and the company does not present one consistent, company-wide remote policy on the main public careers landing pages.

Palpable Score

62.7

/ 100

Nextracker has clear signs of early-career access through internships and some junior-titled roles, plus credible learning signals through mentoring and training initiatives. Hiring process structure is visible through candidate-reported stages, and at least some compensation transparency shows up in internship postings and US listings. The biggest limiter is outcomes data: there is not much public, early-career-specific evidence on progression rates, promotion timelines, or retention.

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