Description:

• Participate in the development of a revolutionary system for qualifying autonomous vehicles, and be involved in changing the world.
• Play a key role in establishing and leading a cross-functional team of machine learning researchers and software engineers, adopting an AI-centric approach to facilitate scalable solutions.
• Contribute to the evolution of Foretellix products by bringing innovative state-of-the-art deep learning models that will enable scalable qualification of autonomous vehicles.
• Take the initiative in identifying, proposing, and building the infrastructure necessary for excellence in research and development. This includes data and computation pipelines, data storage strategies, common libraries, and essential tools for efficient deep-learning model development.

Requirements:

• Ph.D./M.Sc. in Computer-Science / Software-Engineering / Electrical Engineering / Physics or related fields
• At least 2 years of experience in managing scientific and software engineering teams, demonstrating leadership and team-building skills.
• Strong programming skills in Python and/or C++ with 3+ years of experience in using these languages for machine learning (ML) modeling and applied research.
• Proven experience in developing production-grade software and the ability to transition machine learning models from prototype to production.
• Proficiency in using ML toolkits such as PyTorch, TensorFlow, etc.
• A highly motivated self-starter with a passion for technological innovation and a proven ability to drive and manage innovation.

Advantages:

• ​​Experience in building, leading, and recruiting a team focused on AI/ML solutions.
• Prior experience in the field of robotics / autonomous vehicles.

About Foretellix:

Foretellix’s mission is to enable ‘measurable safety’ of ADAS & autonomous vehicles, enabled by a transition from measuring ‘quantity of miles’ to ‘quality of coverage’. Foretellix tackles the most challenging barrier to autonomous vehicle deployment – Safety: ensuring the autonomous vehicle behaves properly under all possible driving conditions including edge cases. Foretellix develops intelligent automation and analytic tools to orchestrate and monitor 100’s of millions of driving scenarios including edge cases, providing the confidence required to allow the broad deployment of ADAS & autonomous vehicles and to unleash the full potential of the autonomous revolution.