Computer Vision Engineer - Edge Robotics & Perception

Job Title

This role is onsite in Fremont, CA with travel to Sacramento, CA several times per month.

Responsibilities

• Design and implement object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes
• Train and evaluate models using PyTorch or TensorFlow on curated datasets, including weakly-labeled or noisy real-world data
• Optimize models for edge deployment using TensorRT, pruning, quantization, and inference profiling
• Implement preprocessing, augmentation, and post-processing strategies for real-time use
• Evaluate and manage datasets as labeled by a separate labeling team
• Collaborate with systems and cloud engineers to deploy, test, and iterate models on Jetson devices
• Validate and analyze real-world performance, failure cases, and environmental variability
• Support integration of perception outputs with downstream autonomy logic and mission control

Required Qualifications

• M.S. or Ph.D. in Computer Vision, Robotics, AI, or related field, or equivalent industry experience
• 3+ years of relevant experience designing and implementing object detection, semantic/instance segmentation, and tracking pipelines for dynamic natural scenes

Core

• Strong proficiency in Python for model development and deployment
• Experience with PyTorch or TensorFlow, including model customization and transfer learning
• Proven experience in object detection and segmentation (e.g., EfficientNet, Mask R-CNN)
• Deployment experience on Jetson platforms (Orin, Xavier, Nano) with constrained CPU/GPU budgets
• Familiarity with TensorRT, torchscript, or related deployment tools
• ROS2 experience including writing nodes, using CLI tools, and integrating with message types
• Experience developing and debugging software on embedded Linux

Infrastructure

• Familiarity with AWS or GCP for training, experimentation, and data management
• Experience with dataset versioning and model tracking (e.g., DVC, Weights & Biases, MLflow)

Preferred Qualifications

• Experience with active learning, few-shot learning, or semi-supervised CV in natural settings
• Multi-camera fusion or 3D perception (stereo, depth, point cloud)
• Camera calibration, distortion correction, and temporal synchronization
• Understanding of outdoor vision challenges (lighting, weather, occlusion)
• Docker-based deployment of ROS2 systems to edge devices
• Contributions to open-source CV or robotics projects
• Prior work in autonomous outdoor robotics, agriculture, construction, or other rugged field environments

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.