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We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Responsibilities
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

We're looking for a hands-on IT Specialist to join our fast-paced team. The role includes maintaining local and cloud infrastructure (including AWS and local training servers), supporting employees, and managing IT assets and systems.
Responsibilities
Provide technical support for employees (hardware, software, and network issues - onsite and remote).
Prepare laptops and accounts for new hires, including system access, email setup, and HID cards.
Monitor and support local servers, AWS infrastructure, and network equipment.
Maintain office equipment (printers, webcams, conference systems) and ensure meeting rooms function properly.
Handle security camera systems and server room alerts (e.g., temperature anomalies).
Track, document, and manage IT inventory across offices and storage locations.
Conduct basic security and IT onboarding training for employees.

Required AI Researcher - World Model
Description
Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.
Responsibilities:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

We are hiring a highly motivated and experienced Pre-Sales Engineer with a solid background in tech companies and SaaS products, to join our Sales team.
As a Pre-Sales Engineer, you will be an integral part of the Sales team, focused on optimizing the sales process through tailored technical expertise and compelling product demonstrations. You will collaborate with prospects and internal teams to align our solutions with customer needs, lead technical demos and POCs, and generate and reply to RFPs/RFIs, while your primary goal is to accelerate sales cycles by serving as the technical consultant and strategist during the sales process.
Key Responsibilities:
Partner closely with Account Executives to strategize and execute sales processes, delivering the technical expertise necessary to close deals successfully.
Develop and present tailored product demonstrations and POCs that showcase our value in addressing customer pain points and achieving sales goals.
Actively engage with prospective customers to understand their challenges, define their needs, and recommend the right configurations of our platform to support their sales processes.
Serve as the technical resource for the sales team, addressing detailed questions about platform capabilities, integrations, security, and scalability.
Assist with RFP/RFI responses, ensuring all technical requirements are met and aligned with the proposed solution.
Work with Product, Engineering, and Customer Success teams to ensure alignment on customer needs and feedback, contributing to a seamless sales-to-implementation transition.

We are seeking a high-performing Enterprise Account Executive to join our dynamic Sales team. In this role, you will take ownership of the entire sales cycle, from the first demo calls, discovery sessions, demonstrations, and negotiation to closing deals.
The ideal candidate thrives in a fast-paced, results-driven environment and has a proven track record of successfully selling SaaS solutions to mid-market or enterprise customers.
Your day-to-day will be mostly customer-facing, including calls and meetings with different stakeholders from diverse industries, working closely with C-level, while collaborating with all internal departments in order to stay the top-notch product.

Required Business Development Representative
Description
We offer a cutting-edge quote-to-revenue solution designed to streamline sales processes, accelerate deal cycles, and deliver predictable revenue for mid-market and enterprise businesses. Our intelligent platform empowers organizations to connect their teams, simplify workflows, and close deals with efficiency and precision.
Beyond the technology, we are a company with a huge heart, a can-do attitude, and an unstoppable drive. Were at the cusp of greatness, building a team of passionate, collaborative individuals who are shaping the future of sales. Joining us means being part of an innovative, supportive environment where your contributions truly matter.
About the Role:
As a Business Development Representative, you will play a pivotal role in driving our growth by identifying and creating new business opportunities. This is a fast-paced, results-driven position ideal for someone with SaaS Go-To-Market experience who thrives in a dynamic environment.
Key Responsibilities:
Prospecting: Research and identify target accounts and key decision-makers.
Outreach: Engage potential customers via cold calls, emails, and LinkedIn.
Qualifying Leads: Understand prospect needs and determine their fit with our solutions.
Setting Meetings: Schedule qualified meetings for the sales team.
Pipeline Development: Ensure a consistent flow of opportunities to fuel sales growth.
Your efforts will directly contribute to the success of the sales organization and help uncover valuable opportunities for the team.

We are seeking a high-performing Account Executive to join our dynamic Sales team. In this role, you will take ownership of the entire sales cycle, from the first demo calls, discovery sessions, demonstrations, and negotiation to closing deals.
The ideal candidate thrives in a fast-paced, results-driven environment and has a proven track record of successfully selling SaaS solutions to mid-market customers.
Your day-to-day will be mostly customer-facing, including calls and meetings with different stakeholders from diverse industries, working closely with C-level, while collaborating with all internal departments in order to stay the top-notch product.

Required QA Engineer(Entry Level)
Description
A Great Opportunity for Computer Science Graduates - Join Our QA Team!
Just finished your degree in Computer Science and looking for your first step into the tech world?
At a hyper-growth SaaS company, we're looking for a passionate and detail-oriented QA Engineer (Entry Level) to join our quality assurance team.
This is your chance to enter the high-tech world and grow within a supportive, innovative environment.
What You'll Do:
Design and execute manual test cases for our products - get hands-on experience with real systems and ensure product quality from the ground up.
Collaborate closely with developers, product managers, and UX designers to detect bugs and improve the user experience.
Learn and apply professional QA methodologies - including writing test scenarios, working with QA tools, and understanding real-world product behavior.
Grow gradually into automation testing, performance testing, or other technical tracks, based on your skills and interests.