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Join us in building next-generation embedded systems for the automotive industry. Were looking for a hands-on Embedded Team Lead with strong technical expertise and leadership experience to drive the development of complex real-time systems.

What Youll Do (Day-to-Day):

Lead and mentor an embedded development team
Define software architecture for complex embedded systems
Drive high-quality development processes and best practices
Own delivery, planning, and execution of team objectives (Agile / Scrum Master responsibilities)
Stay hands-on (~70%) in development (C/C++)
Ensure performance, reliability, and code quality
Work closely with cross-functional teams on cutting-edge automotive solutions

We are looking for a highly experienced Real-Time C++ Team Leader who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, leading a talented team while collaborating effectively with remote and on-site teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
The Real-Time C++ component is at the core of our Quantum Orchestration Platform - it serves as the driver for the Pulse Processing Unit (PPU), our proprietary VLSI-based engine. This component is responsible for preparing, loading, and launching the execution of quantum-computing workloads, operating at extreme performance levels to maximize hardware utilization and minimize software overhead.
Responsibilities
Lead and grow a team of real-time C++ engineers, fostering technical excellence, collaboration, and professional development.
Own the architecture and development of the real-time C++ layer that drives the Pulse Processing Unit (PPU), our company's proprietary VLSI-based processor.
Design and implement high-performance software for preparing, loading, and launching quantum-computing workloads with minimal latency and maximal hardware utilization.
Drive relentless optimization of the software stack to minimize SW overhead in the critical path, ensuring the hardware operates at peak throughput.
Collaborate closely with VLSI, compiler, and architecture teams to ensure seamless software-hardware integration across the quantum control stack.
Define and uphold engineering standards, code quality practices, and performance benchmarking methodologies for the team.
Contribute hands-on to the codebase - designing, reviewing, debugging, and profiling performance-critical code paths.
Participate in cross-team technical planning, roadmap definition, and alignment with product and customer needs.

Required Software Engineer III, Data and AI Infrastructures, Waze
Tel Aviv, Israel
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team manages all engineering infrastructure for Waze data scientists, including: GenAI frameworks for internal applications and analytics (DataWhiz), evaluation frameworks for user-facing features, and MLOps for training and deploying ML models at scale. Additionally, the team oversees data pipeline infrastructures, infrastructure as code, and the application of engineering best practices within data science.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Add new features to our GenAI analytics agents serving all of Waze for any data analytics questions.
Research in GenAI for ML research and exploration, backend GenAI models evaluation framework.
Understand ML or Data Science to have knowledge of the users of the framework.