דרושים » תוכנה » Lead Software Developer - Mapping

We are growing, and we are opening a new System Software Team Lead position!
We are looking for an experienced, hands-on leader to spearhead our system software group and oversee the development of cutting-edge AI-based vision systems.
This is a unique opportunity to build and lead a top-tier team and shape the core infrastructure powering our next-generation automotive AI platforms.
The ideal candidate comes from a leading hardware/software company (such as NVIDIA, Intel, Qualcomm) and brings a strong blend of technical excellence and people leadership skills.
Responsibilities
Build, mentor, and lead a team of system software engineers.
Define, design, and oversee the implementation of real-time software infrastructures for AI and vision workloads.
Own the full system software stack: resource management, scheduling, IPC, memory optimization, profiling, and performance optimization.
Drive close collaboration with AI, hardware, and architecture teams to optimize system efficiency across heterogeneous compute platforms (CPU, GPU, NPU, DSP).
Lead system bring-up, debugging, and performance tuning activities on new hardware platforms.
Set development standards, drive best practices, and foster technical excellence within the team.
Contribute hands-on to complex system-level development and critical problem-solving.
Report directly to R&D senior leadership and participate in shaping product and technology roadmaps.

As the Algo Developer Team Lead, you will be responsible for leading the development of our core routing engine and overseeing its evolution. Youll work closely with cross-functional teams to design, implement, and refine algorithms that solve complex optimization problems, ensuring that our engine performs at scale and continues to meet the dynamic needs of our users.

You will be part of a highly talented and motivated development team responsible for our Routing real-time systems. This role involves leading a team of skilled engineers, ensuring the delivery of high-quality navigation solutions at scale, and contributing to the continuous improvement of our development processes.

What Youll Do:
Lead and manage a team of Backend engineers, overseeing the development of both end-to-end services and core infrastructure components.
Work closely with Product & Algo teams to design and refine routing algorithms & continuously optimize algorithms to handle large-scale, real-time data efficiently.
Develop, own, and execute the team's roadmap, ensuring alignment with the company's strategic goals.
Oversee project objectives to enhance and support the overall product strategy.
Play a central role in managing, coaching, and fostering the growth of your engineering team.
Guide and mentor team members to ensure they deliver exceptional results by promoting best practices and addressing technical challenges on projects requiring advanced technical expertise.

Were looking for a Data Science Team Lead to join our winning team. This is an opportunity to take a leadership role in building innovative AI products, manage a growing team of algorithm researchers, and have a major impact on the methods, infrastructure, and product capabilities.

Youll lead projects from early research to full production deployment, guiding the development of models, scalable pipelines, and services that power critical features in the platform.

Responsibilities:
Lead, mentor, and grow a team of Data Scientists providing both technical leadership and professional development.
Own the full lifecycle of AI projects: from research and prototyping through production-grade deployment and monitoring.
Design and oversee the development of scalable ML pipelines, model serving infrastructure, and robust data workflows in collaboration with software engineering and product teams.
Drive initiatives to deliver LLMs and other AI models as production-grade services within the organization.
Partner cross-functionally with product managers, clinical experts, and engineers to translate business needs into AI-driven features.
Guide research in NLP, NLU, and Deep Learning domains, staying at the forefront of industry developments and incorporating new methods where applicable.
Maintain a high standard of technical execution within the team, fostering a culture of ownership, quality, and innovation.
Communicate technical findings, project status, and strategic recommendations clearly to technical and non-technical stakeholders.

We are looking for an experienced MLE Team Lead to lead our Machine Learning Engineering team as part of the Infrastructure group. AI/ML are core components of Navina unique technology, and a significant part of our technical edge. This is a unique opportunity to take a leadership role in building the infrastructure that powers the models driving Navinas products.

Youll lead a team of ML engineers in designing scalable production systems, collaborating with cross-functional stakeholders, and mentoring team members as we scale our ML platform and capabilities.

Responsibilities:
Provide technical leadership and team management for the Machine Learning Engineering team, including mentoring team members, and encourage ongoing personal and professional growth.
Define and drive the roadmap for ML infrastructure in collaboration with other technical leaders and data science team, ensuring alignment with broader engineering and organizational goals.
Remain actively involved in the architecture and development of systems that enable scalable and reliable model training, deployment, serving, and monitoring.
Own the engineering aspects of the ML lifecycle, including the design of efficient production-grade deployment mechanisms, robust observability and maintenance practices.
Work closely with data science, product, medical, and dev teams to understand evolving needs and deliver infrastructure and tooling that improve development velocity and model reliability.
Continuously evaluate emerging tools and best practices in ML infrastructure and thoughtfully integrate relevant technologies to strengthen the teams capabilities.

We are seeking a skilled Engineering Manager to lead the Broker Platform Team responsible for building the next-generation on-premises platform that hosts collectors and actors within customer environments and connects securely to the Cortex Cloud. This platform VM provides a container-based runtime environment, designed for flexibility, scalability, and performance in diverse enterprise environments.
This role requires strong leadership, container technology knowledge along with experience in systems, networking, and secure software delivery. In this role you will work with multiple partners across Cortex Cloud and lead the engineering strategy and vision for Broker platform.
Your Impact
Key Responsibilities:
Lead and scale a high-performing engineering team building a containerized on-prem platform for hybrid deployment models.
Drive architecture and implementation of cortex platform for on-prem collectors and actors.
Ensure platform interoperability across virtualization platforms and operation systems.
Oversee integration with Cortex Cloud and ensure reliability in customer-hosted environments.
Define and manage execution of technical roadmaps, working closely with product, security, and infrastructure teams.
Establish strong security engineering practices across platform components.
Guide the adoption of modern DevOps and CI/CD pipelines for container-based development.
Support team growth through mentorship, coaching, and structured talent development.

We seek a passionate Robotics Autonomy Team Lead to join our team and drive the development of cutting-edge autonomous robotic systems.
Responsibilities - what you will be doing:
Design, implement, test, and deploy motion planning and navigation algorithms that drive vehicles safely and efficiently in unpredictable terrains, generating collision-free paths and dynamic maneuvers
Shape top-level autonomy algorithms, balancing performance, safety, and scalability, while employing modern software engineering practices to produce clean, robust, and well-tested code
Leverage real-world data and simulation to continuously refine and optimize algorithms, ensuring stability and resilience in harsh conditions
Work closely with perception, hardware, product, integration, and testing teams to build, maintain, and rigorously evaluate a full autonomy stack in both simulation and real-world environments

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Your Role: Drive, Build, and Shape
Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with our mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.

Required Director R&D, Shopper Intelligence
About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of our most strategic offerings.
You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.
What Youll Do:
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.
Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.
Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.
Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.
Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.
Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.
Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.
Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.
Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).
Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.
Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.
Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.
Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.
Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.
Partner across functions to ensure alignment between technical capabilities and product/market strategy.

seeking a highly motivated and experienced Software Team Lead to oversee a multidisciplinary engineering squad responsible for the development and maintenance of key company productsincluding the Command Platform (SaaS) and Data Sharing Services (DaaS). This role includes leadership of Frontend, Backend, QA, and Automation engineers and requires collaboration with cross-functional stakeholders such as Product Managers, UI/UX designers, Data Engineers, Data Scientists, and DevOps professionals.

This is a hands-on position involving direct technical contributions, architectural oversight, and responsibility for quality, performance, and timely delivery. The ideal candidate demonstrates both technical depth and proven leadership capabilities.

Key Responsibilities

Lead a cross-functional engineering squad working on mission-critical SaaS and DaaS products.
Own the full software development lifecyclefrom planning and architecture to deployment and maintenance.
Drive initiatives to improve scalability, performance, reliability, and long-term maintainability.
Work closely with Product, UI/UX, DevOps, Data Engineering, and Data Science to ensure alignment and delivery.
Mentor and guide engineers, fostering a culture of growth, accountability, and continuous improvement.
Champion software engineering best practices and quality assurance methodologies.
Integrate AI-powered solutions into platform capabilities where appropriate.
Ensure timely delivery of product features in alignment with company goals and stakeholder expectations.