Top Computer Vision Jobs in Austin, TX

Develop and optimize real-time computer vision and ML systems for detecting, tracking, and classifying drones on an autonomous gun turret. Implement resource-efficient models, integrate vision systems with hardware, and validate performance across diverse, challenging environments to harden prototypes to military-grade standards.

Define and develop ultra-low-power imaging, ISP, video, and computer vision architectures for Ambiq SoCs. Create architecture specs, power/performance models, and system flows; drive camera image quality strategy; evaluate/integrate imaging and AI IP; define APIs and HALs; collaborate across FPGA, design, verification, and product teams; support customer engagements and contribute to product roadmaps.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Annotate and review large volumes of image, video, infrared, and sensor data to support maritime perception models. Identify vessels, objects, and environmental features; apply evolving labeling guidelines; perform manual annotation and quality review of auto-labeled data; escalate edge cases and meet project deadlines while maintaining accuracy and consistency.

Lead technical discovery and design of computer vision solutions using YOLO. Build Python prototypes, benchmarks, and production deployment workflows across cloud and edge. Deliver demos, workshops, and POCs; translate customer needs into architectures; collaborate with Sales, Customer Success, Product, and Engineering to drive deployments and reusable ecosystem contributions.

Develop and deploy vision-language and multimodal AI systems for industrial automation and robotics, integrating perception, language understanding, reasoning, and learning with robotics platforms, edge devices, and industrial data to enable context-aware decision making, human-robot interaction, inspection, and continuous learning in real-world environments.

Design, develop, and maintain Java-based cloud-native applications on GCP to support image capture, processing, storage, and distribution. Build REST APIs, image processing pipelines, and AI-enabled features (classification, OCR, redaction, similarity search). Ensure security, compliance, CI/CD, infrastructure-as-code, observability, and cross-functional collaboration.

Design and train foundation vision-language models that read entire CT studies end-to-end. Build custom PyTorch architectures and distributed training pipelines, run large-scale experiments, evaluate models for clinical safety, and move models through FDA submission to hospital deployment.

As a Computer Vision Applied Research Scientist, you'll design novel architectures for understanding construction drawings, conduct end-to-end experiments, and transition models to production. You'll collaborate with others to improve accuracy and address real-world issues in AI applications for construction.