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We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers. Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

looking for a proactive Digital, Marketing & Communications Manager to own day-to-day marketing and communications execution and translate existing strategy into consistent, high-quality market output. The role is hands-on and execution-focused, with responsibility across digital marketing, broader marketing activity, and communications. Digital campaigns and performance-driven activity will be the primary focus, alongside maintaining clear, coherent messaging across the company. Digital channels are the main engine for impact in this role, with a strong emphasis on driving relevant audiences to clear calls to action, including website engagement, sign-ups, and product interaction. The role works in close partnership with the VP of operations and marketing and with the CMO on positioning, narrative evolution, and major initiatives. You will be trusted with pace and accountability and will be expected to deliver. You are expected to actively identify and leverage modern, relevant AI-driven tools and workflows across marketing and communications, from content creation and research to distribution, analysis, and optimisation, and to stay current as tools and practices continue to evolve.

This is a key role in leading a fast growing Region to ensure the achievement of Capital Sales targets for the Company through direct management of the local distributors. This includes overseeing and leading the identification of business opportunities, building and fostering customers’ relationships and ensuring to meet/exceed sales forecast and objectives. To be successful in this role, you should be independent and highly driven, demonstrate extensive experience in business development strategies and possess the ability to adapt quickly in a dynamic environment. It is also important to adopt a hands-on approach when required and be willing to travel extensively.
· Drives, manages and executes the business and revenue of the Region · Defines annually the region’s business goals (orders and sales), per quarter and per country, manages and leads the distributors team · Analyzes regional market dynamics to maximize existing successes and to create new sales growth opportunities · Prepare forecasts and growth plans · Establishes and reports on metrics to measure team performance; corrects deficiencies where necessary · Ensures that the regional sales plan is aligned with and supports the EMEA revenue goal · Prepares regular sales reports using CRM tools, highlighting sales volume, potential growth areas, and strategies for client base expansion · Acts as the face of Insightec at industry congresses and meetings to enhance product visibility and market presence. · Recruits and manages the presence of distributors in the area; fosters a successful and positive team environment · Works close with the Head of CAMs and local CAMs to achieve company goals in the number of treatments · Works with the Head of marketing to define marketing plans for the region · Works with the Head of Market Access and the local distributors in leading the process of obtaining reimbursement, defining a reimbursement strategy · Supports the regulatory team in preparation and implementation of the regulatory plan. · Able to generate positive cooperations with the different Insightec functions supporting the territory · Resilience, positiveness, problem solving, customer focus, teamwork member, out of the box thinking.

Required Research Scientist - LTX Model Quality
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team.
As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate.
What you will be doing
Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models.
Fine-tune and control VLLMs for video and audio understanding.
Design and iterate on quality evaluation metrics and frameworks.
Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps.
Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality.
Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement.