we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
What Youll Actually Be Doing
Cloud Security Implementation: Contribute to the design and implementation of security measures across AWS environments to ensure systems are secure, compliant, and aligned with industry best practices. Including implementation, automation and development of security policies
Conduct regular security assessments, control testing, and audits to proactively identify risks and vulnerabilities (and support remediation efforts with partner teams)
Collaboration with Internal Teams: Work closely with internal teams to integrate security best practices into development and operational workflows
Security Automation & Infrastructure Management: Design and implement automation strategies for security monitoring, auditing, and incident response
Cost Efficiency through Security: Contribute to cloud cost management by optimizing cloud resources without compromising on security.
Incident Response & Threat Management: Participate in incident response efforts to support timely identification, analysis, containment, and remediation of security threats. Contribute to post-incident reviews, help maintain incident response playbooks, and support internal teams by sharing learnings and updated procedures.

An AI-first tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we work to bring AI and data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. We are looking for a Top University Graduate to join us as a Junior software engineer and make a real impact on our R&D team! In this role you will have the opportunity to take ownership of the development of amazing new products and work on interesting projects inside a smart, fun, and dynamic engineering team. We seek an individual passionate about tackling tech challenges, with a proactive and AI first approach to push forward a love for coding and a dedication to excellence. This is a full-time, on-site position based in our Jerusalem office in Talpiyot or Tel-Aviv office near HaShalom Train Station.

What you will be responsible for:

* Write clean, high-quality, maintainable code across our stack
* Take ownership of features and projects end-to-end - from design through deployment
* Collaborate closely with product, design, and fellow engineers to ship impactful solutions

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* Cibus and lots of yummy treats:-)

As Engineering Manager, youll be a technical leader, a team builder, and a strategic partner. Youll guide your team to deliver performance, scalable, and secure software solutions, while shaping culture, structure, and product direction. From technical design to org design, youll have a direct influence on how we work and what we build.
Youll work closely with Product, Architecture, and cross-functional teams to turn ambitious ideas into clean, production-ready code - while creating an environment where engineers grow, thrive, and do their best work.
Who You Are:
A collaborative leader who thrives on enabling others to succeed
Able to balance trust and autonomy with clear technical direction
Strategic, but not afraid to roll up your sleeves when needed
Calm, clear, and confident in a fast-paced, high-growth environment
What Youll Actually Be Doing:
Be both a highly technical contributor and an effective people leader
Hold your own in technical discussion, be a subject matter expert in a product domain, and have strategic influence Lead team(s) that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
Work with your team and cross functional partners to define and influence strategy
Drive roadmap creation and execution
Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
Mentor, coach, and grow your direct reports - championing career development and engagement
Own recruitment, onboarding, and performance management for your team
Influence engineering-wide culture, org design, and cross-functional collaboration

As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and understanding supercomputer performance deeply. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

we are looking for a DevOps Engineer for Embedded & Cyber Systems.
Responsibilities:
Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.

As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.

What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

we are looking for a DevOps Engineer for Embedded & Cyber Systems.