Job Description:** This role is onsite in Fremont, CA with travel to Sacramento, CA several times per month.<h1></h1>Responsibilities<ul><li>Design and implement object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes</li><li>Train and evaluate models using PyTorch or TensorFlow on curated datasets, including weakly-labeled or noisy real-world data</li><li>Optimize models for edge deployment using TensorRT, pruning, quantization, and inference profiling</li><li>Implement preprocessing, augmentation, and post-processing strategies for real-time use</li><li>Evaluate and manage datasets as labeled by a separate labeling team</li><li>Collaborate with systems and cloud engineers to deploy, test, and iterate models on Jetson devices</li><li>Validate and analyze real-world performance, failure cases, and environmental variability</li><li>Support integration of perception outputs with downstream autonomy logic and mission control</li></ul><h1></h1><h1></h1>Required Qualifications:<ul><li>M.S. or Ph.D. in Computer Vision, Robotics, AI, or related field, or equivalent industry experience</li><li>3+ years of relevant experience designing and implementing object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes</li></ul>Core<ul><li>Strong proficiency in Python for model development and deployment</li><li>Experience with PyTorch or TensorFlow, including model customization and transfer learning</li><li>Proven experience in object detection and segmentation (e.g., EfficientNet, Mask R-CNN)</li><li>Deployment experience on Jetson platforms (Orin, Xavier, Nano) with constrained CPU/GPU budgets</li><li>Familiarity with TensorRT, torchscript, or related deployment tools</li><li>ROS2 experience including writing nodes, using CLI tools, and integrating with message types</li><li>Experience developing and debugging software on embedded Linux</li></ul>Infrastructure<ul><li>Familiarity with AWS or GCP for training, experimentation, and data management</li><li>Experience with dataset versioning and model tracking (e.g., DVC, Weights &amp; Biases, MLflow)</li></ul><h1></h1><h1></h1>Preferred Qualifications:<ul><li>Experience with active learning, few-shot learning, or semi-supervised CV in natural settings</li><li>Multi-camera fusion or 3D perception (stereo, depth, point cloud)</li><li>Camera calibration, distortion correction, and temporal synchronization</li><li>Understanding of outdoor vision challenges (lighting, weather, occlusion)</li><li>Docker-based deployment of ROS2 systems to edge devices</li><li>Contributions to open-source CV or robotics projects</li><li>Prior work in autonomous outdoor robotics, agriculture, construction, or other rugged field environments</li></ul>Nextracker offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextracker’s benefits please view our company website at <a href="http://www.nextracker.com/">www.nextracker.com</a>.  Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $180,000 - $220,000. At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.<h1>Culture is our Passion</h1>

<div class="org-about-module__description">
<div id="ember56" class="ember-view organization-about-module__content-consistant-cards-description">Since day one, Nextracker&rsquo;s mission has been to transition the world to affordable, renewable power, by developing the highest-performing and resilient solar tracking technologies and software in the market for our customers. From sustainable tracker solutions that conform to uneven terrain and withstand extreme weather, Nextracker systems have resilience built in. Nextracker leads the solar industry with solar tracker technologies that optimize and increase energy production while reducing costs for significant plant ROI.</div>
</div>
<div class="org-about-module__content-improvement">
<div class="org-about-module__content-box">&nbsp;</div>
</div>

Computer Vision Engineer - Edge Robotics & Perception

Job Description:** This role is onsite in Fremont, CA with travel to Sacramento, CA several times per month.<h1></h1>Responsibilities<ul><li>Design and implement object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes</li><li>Train and evaluate models using PyTorch or TensorFlow on curated datasets, including weakly-labeled or noisy real-world data</li><li>Optimize models for edge deployment using TensorRT, pruning, quantization, and inference profiling</li><li>Implement preprocessing, augmentation, and post-processing strategies for real-time use</li><li>Evaluate and manage datasets as labeled by a separate labeling team</li><li>Collaborate with systems and cloud engineers to deploy, test, and iterate models on Jetson devices</li><li>Validate and analyze real-world performance, failure cases, and environmental variability</li><li>Support integration of perception outputs with downstream autonomy logic and mission control</li></ul><h1></h1><h1></h1>Required Qualifications:<ul><li>M.S. or Ph.D. in Computer Vision, Robotics, AI, or related field, or equivalent industry experience</li><li>3+ years of relevant experience designing and implementing object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes</li></ul>Core<ul><li>Strong proficiency in Python for model development and deployment</li><li>Experience with PyTorch or TensorFlow, including model customization and transfer learning</li><li>Proven experience in object detection and segmentation (e.g., EfficientNet, Mask R-CNN)</li><li>Deployment experience on Jetson platforms (Orin, Xavier, Nano) with constrained CPU/GPU budgets</li><li>Familiarity with TensorRT, torchscript, or related deployment tools</li><li>ROS2 experience including writing nodes, using CLI tools, and integrating with message types</li><li>Experience developing and debugging software on embedded Linux</li></ul>Infrastructure<ul><li>Familiarity with AWS or GCP for training, experimentation, and data management</li><li>Experience with dataset versioning and model tracking (e.g., DVC, Weights &amp; Biases, MLflow)</li></ul><h1></h1><h1></h1>Preferred Qualifications:<ul><li>Experience with active learning, few-shot learning, or semi-supervised CV in natural settings</li><li>Multi-camera fusion or 3D perception (stereo, depth, point cloud)</li><li>Camera calibration, distortion correction, and temporal synchronization</li><li>Understanding of outdoor vision challenges (lighting, weather, occlusion)</li><li>Docker-based deployment of ROS2 systems to edge devices</li><li>Contributions to open-source CV or robotics projects</li><li>Prior work in autonomous outdoor robotics, agriculture, construction, or other rugged field environments</li></ul>Nextracker&nbsp;offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on&nbsp;Nextracker’s&nbsp;benefits please view our company website at&nbsp;<a href="http://www.nextracker.com/">www.nextracker.com</a>.&nbsp;&nbsp;Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $180,000 - $220,000. At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.<h1>Culture is our Passion</h1>

Computer Vision Engineer - Edge Robotics & Perception

About the Job

About the Company

Nextracker Solar

Similar Jobs

Senior Computer Vision Engineer - vLLM

Senior Computer Vision Engineer - vLLM

Perception Software Engineer

Perception Software Engineer

AI Engineer (Perception Software) (gn) @ Autonomous Navigation Venture, Belgium

AI Engineer (Perception Software) (gn) @ Autonomous Navigation Venture, Belgium

Robotic Engineer

Robotic Engineer

Senior ML Engineer, Perception Foundation Encoder

Senior ML Engineer, Perception Foundation Encoder

Software Engineer - Learned Trajectory Machine Learning Engineer

Software Engineer - Learned Trajectory Machine Learning Engineer

AI Engineer

AI Engineer

Sr. Software Engineer, Pose

Sr. Software Engineer, Pose

AI Engineer

AI Engineer

Senior/Staff Machine Learning Engineer, Perception

Senior/Staff Machine Learning Engineer, Perception