לוח משרות דרושים Computer Vision Engineer, לחיפוש זה נמצאו 11 משרות

If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity.

You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist.

Key Responsibilities:
Drive end-to-end computer vision solutions from concept and research through deployment and operational validation.
Develop detection, classification, and tracking algorithms.
Improve performance on small and distant aerial targets.
Build and maintain training datasets and evaluation tools.
Optimize models for real-time operational performance.
Collaborate with software, hardware, and systems engineering teams.

we are looking for a AI / Computer Vision Algorithm Engineer.
Key Responsibilities:
AI/Computer Vision Engineer to develop image-processing algorithms for next-generation ophthalmic diagnostic devices.
Full time, Hybrid
Develop advanced computer-vision algorithms for medical imaging.
Detect biomarkers related to specific use cases
Build models supporting diagnostic decisions.
Train deep-learning models (CNNs, ViT, Autoencoders).
Work with Python, PyTorch/TensorFlow, OpenCV.

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.

In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.

This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.

What You'll Do
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios

Join an innovative technology company developing an AI-powered computer vision platform with real-world impact. In this role, you'll lead the design, development, and deployment of advanced AI and computer vision algorithms, taking solutions from research to production while working closely with multidisciplinary engineering teams.

Responsibilities

Design, train, and deploy deep learning models for computer vision applications.
Develop algorithms for object detection, segmentation, tracking, and behavior analysis.
Build and optimize real-time AI solutions for edge and cloud environments.
Research, evaluate, and integrate state-of-the-art AI and computer vision technologies.
Monitor, debug, and continuously improve production ML systems.
Collaborate with Software, Product, QA, and multidisciplinary engineering teams, while mentoring other engineers.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

Required Senior Computer Vision Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

we are looking for a Computer Vision & Autonomy Engineer.
What you'll own
Design and own multi-sensor fusion pipelines - camera, radar, GNSS/INS, and altimetry - delivering robust, high-rate state estimation through GNSS-degraded urban environments.
Build the landing-site perception system: real-time detection, geometric assessment, and obstruction monitoring of vertiports and contingency sites during steep, noise-optimal approaches.
Train, quantize, and deploy neural perception models on embedded flight compute, owning latency, memory, and power budgets down to the millisecond.
Develop perception for detect-and-avoid: tracking non-cooperative traffic - small UAS, birds, general aviation - at ranges that preserve quiet, gentle avoidance maneuvers.
Stand up the data engine: flight-test data collection, ground-truth generation, dataset curation, and automated regression of model performance across releases.
Validate the perception stack in high-fidelity simulation, sensor replay, and hardware-in-the-loop benches before any algorithm touches the vehicle.
Architect run-time monitoring and assurance around learned components, producing the evidence structure a certification authority can eventually accept.
Support flight test campaigns end to end: integrate and calibrate sensors, analyze logs, and turn every anomaly into a fix or a documented limit within days.

We are looking for a hands-on Computer Vision & AI Algorithm Engineer to develop advanced imaging algorithms for a cutting-edge medical device. The role spans the full spectrum of algorithm development - from creating new solutions to improving, maintaining, validating, and integrating them into the product. The ideal candidate is curious, pragmatic, and comfortable moving between deep learning, classical computer vision, data analysis, debugging, validation, and product integration as needed. They measure success by seeing algorithms work reliably in a real-world product and enjoy collaborating across disciplines to solve the challenges that move the product forward.

Responsibilities may include the following and other duties may be assigned:
Design, develop, maintain, and continuously improve AI, computer vision and image processing algorithms for a medical imaging product.
Own the full lifecycle of algorithm development, from concept and data definition through implementation, validation, product integration, and long-term maintenance.
Use both classical computer vision methods and machine/deep learning methods to come up with solutions for various problems in the domains of image classification, segmentation and 3D modeling.
Collaborate with SW developers, biomedical engineers, product specialists and other algorithms developers to refine and enhance existing applications.
Maintain and improve algorithm robustness, performance and reliability in production environments.
Identify opportunities for innovation and design novel algorithms to address complex technical challenges.
Stay at the forefront of relevant academic research by reviewing the latest papers and evaluating their potential impact on the companys algorithmic stack.