As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.

The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.

Key Responsibilities
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality.

We are looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio.
The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact.
You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products.
What you will do:
Lead the AI team and own its technical direction, roadmap and execution.
Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
Lead architecture and technical decision-making around AI models, platforms, tools and data.
Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development.
Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management.
Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US.
Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency.
Support customer-facing discussions, trials and PoCs where relevant.

This is a leadership role within our companys core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the teams technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the teams work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.

We are looking for a Principal Algorithm Developer with experience in NLP and LLMs, who is a highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, leadership skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Lead development and drive technical decisions that impact your technical domain and related systems across the organization.

Mentor and develop algorithm developers through technical guidance & design reviews.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.

We are seeking an Algorithm Team Manager to join the DMD Algorithm Group. In this role, you will lead a team of algorithm developers responsible for developing advanced modeling, signal-processing, optimization, and machine-learning solutions for our semiconductor metrology products. You will combine strong technical leadership with people leadership and delivery ownership, driving algorithmic solutions from early research and feasibility through productization, customer deployment, and continuous improvement.
Responsibilities
What will you be doing:
Manage, mentor, and develop a team of algorithm developers, building strong technical ownership, collaboration, and execution excellence.
Lead the delivery of high-impact algorithmic projects for DMD products and applications, from concept and feasibility through implementation, integration, validation, and release.
Define technical direction, priorities, milestones, and resource allocation across multiple parallel R&D activities.
Drive the development of advanced physical modeling, data-analysis, optimization, signal-processing, and machine-learning algorithms.
Work closely with Systems, Physics, Software, Applications, Product, and Program teams to translate product and customer needs into robust algorithmic solutions.
Ensure algorithm quality through clear requirements, sound architecture, code reviews, testing, performance analysis, documentation, and maintainable development practices.
Support product integration, customer evaluations, and escalations, including analysis of complex field and fab data.
Identify technological gaps and opportunities, initiate innovative solutions, and contribute to the DMD algorithm and product roadmaps.
Communicate project status, risks, trade-offs, and recommendations clearly to technical and management stakeholders.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.
At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.
You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.
Responsibilities:
Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve our data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are looking for a highly skilled and motivated Embedded Software Team Lead to drive our development efforts from the trenches. You will lead a team of talented engineers, combining strong technical leadership with deep hands-on involvement. In this role, you will be responsible for the architecture, design, and implementation of complex embedded software, while mentoring team members and ensuring high code quality. This is a "player-coach" role for someone who loves to solve hard technical problems and thrives on developing people.
Responsibilities:
Leadership & Mentoring
Lead and mentor a team of embedded software engineers, setting day-to-day priorities and fostering a high-performance culture
Provide technical guidance, perform code reviews, and act as the go-to person for complex technical challenges
Facilitate team collaboration and ensure clear communication across the R&D organization
Foster a culture of excellence, accountability, and continuous learning
Technical Ownership (Hands-on)
Remain deeply involved in hands-on design, architecture, and coding (approx. 50% coding/design work)
Design and implement robust embedded software for real-time systems, focusing on performance, scalability, and safety
Ensure best practices in coding standards, unit testing, and CI/CD integration
Collaborate with hardware and systems engineers to ensure seamless integration between software and hardware components (SoCs, MCUs, sensors, etc.)
Execution & Delivery
Own the delivery of specific embedded modules, from design to production
Translate product requirements into actionable technical tasks and roadmaps
Drive engineering processes to increase efficiency and code quality
Work closely with customers and Tier-1 partners on technical requirements, escalations, and delivery commitments
Stay updated with industry trends in embedded systems and automotive tech to continuously improve our stack