דרושים » ייצור ותעשייה » Robotics Algorithms Engineer

We are looking for a Senior Algorithm engineer to join a high-velocity R&D team developing advanced Real-Time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.
Responsibilities:
Design, implement, and maintain Real-Time estimation and inference algorithms operating on heterogeneous sensor inputs. Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. Translate operational and system -level needs into mathematical formulations and deployable algorithms. Collaborate closely with system engineers and software teams to integrate algorithms into Real-Time command-and-control environments. Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. Participate in algorithm design reviews, trade-off analyses, and performance assessments.

Requied Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.

In this role, youll:

Research and develop next-gen code analysis and remediation algorithms.
Work hands-on with GenAI models and integrate them into detection workflows.
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis).
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.

What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis.
Build GenAI-powered developer tools for static and semantic code analysis.
Enhance our existing detection infrastructure with intelligent, context-aware insights.
Translate cutting-edge research into practical, scalable product features.

we are seeking a 3D Algorithm Team Lead to guide a large team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide. This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution. You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions. * This role requires working at our Jerusalem offices at least 2 days per week.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

We are seeking a Senior Algorithm Engineer to join our core Algo team. This team is responsible for developing algorithms that address a wide range of Computer Vision/ML challenges in our effort to map the subsurface world.

Our algorithms leverage cutting-edge computer vision methodologies and extensive commercial Geographic Information System (GIS) datasets.

We are looking for a skilled Senior Algorithm Engineer with significant experience in building algorithm-based systems, especially in complex environments. You will design and implement end-to-end solutions from idea generation to production.

This is a meaningful and security-oriented role contributing to homeland defense, located at the companys headquarters in Or Yehuda.

Role Description:
Develop and implement data fusion algorithms from various sensors (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Apply and enhance advanced filters such as the Kalman filter.
Build and evaluate statistical models for different sensors across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop error bias calculation algorithms for active and passive sensors (radars, SIGINT).
Integrate and implement algorithms in Real-time / Near Real-time systems.
Participate in lab and field experiments, conduct performance analysis, and produce reports.