דרושים » תוכנה » ראש /ת צוות פיתוח ו-ML לחברת הייטק גלוגלית באיזור הצפון

We are looking for an exceptional deep learning algorithm developer with proven experience in LLMs/VLMs/VLA models to join our growing team under our copmpanys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Lead dataset curation strategy - designing scalable pipelines for multimodal data to drive high-quality training and validation.
Architect and optimize LLMs, VLMs, and VLA models - transforming scene understanding into reliable driving guidance.
Own the validation strategy - defining methodologies, metrics, and failure-analysis workflows for robust vision-language-action alignment.
Make an immediate impact by applying deep expertise to guide model design, methodology, and development priorities from day one.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Influence the technical direction of language-driven autonomy - contributing experience, shaping capabilities, and driving innovation to production.

We are looking for a SW Development Team Leader to join our growing team!
We are looking for a software team leader to lead one of our core teams. He/she will be responsible for the delivery of innovative key features, guiding team members, improving existing products and features. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Responsible to contribute to products vision and subsequent execution
Oversee the overall development life-cycle, from design/planning, to implementation and support to maintain high standard of software quality
Provide technical leadership to team member while taking active part in the team tasks
Assigns tasks, reviews work and may contribute to employee performance appraisals
Work with internal teams, peers and customers to understand product requirements thus translating to successful software development

We are looking for a senior deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We are looking for a deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Contribute to dataset curation activities - collecting, cleaning, labeling, and preparing multimodal data for training and validation.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Support validation of multimodal models - evaluating vision-language-action behavior and helping identify performance gaps across driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.