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Were looking for a Backend Engineer to build the core of our platform. This is a high-ownership role in an early-stage company, working directly with the founders and some of the strongest engineering talent in the market.

What Youll Do
Build and own backend systems that power our AI agents and autonomous workflows.
Work hands-on with cutting-edge agent architectures and applied AI, helping invent how these systems are built and used in production.
Design scalable, reliable services for real customers, from data ingestion to orchestration and APIs.
Deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

You'll be joining our MDR Security Engineering team, whose mission is to help MDR scale, automate, and strengthen threat detection across a high-volume, global operation.

We are seeking a Senior Security Engineer, MDR Automation & Platform to serve as the engineering and development technical lead for our automation and orchestration platform. This role sits between engineering and security operations and will set the platforms technical direction, translate operational and security needs into technical designs, and lead decisions around architecture, scalability, reliability, and cost.

You will not develop the underlying product or build the infrastructure from scratch. Instead, you will understand the platform deeply, shape how it is designed and operated, and build or review the code behind its more complex integrations and workflow components. You will work closely with analysts, researchers, and engineers to ensure security-driven workflows for triage, enrichment, investigation, and response are scalable, reliable, and built according to strong engineering standards.

The ideal candidate combines strong engineering and development experience with a solid understanding of security operations. They have led the technical direction of an automation platform or similar system and can turn complex operational requirements into practical, scalable solutions.

Responsibilities
Drive the technical direction, architecture, and lifecycle of MDRs automation and orchestration platform, including SOAR, case management, integrations, and supporting workflow tooling.
Act as the engineering and development technical lead for the MDR Security Engineering team by reviewing designs and code, setting standards, and guiding technical decisions.
Design and build complex integrations, services, APIs, and workflow components, while guiding others in building and maintaining the broader platform.
Translate operational and security needs into clear technical designs and delivery plans in collaboration with analysts, IR, threat hunters, researchers, and engineering.
Make architecture, scalability, reliability, design, and cost decisions for the platform.
Design and shape SOAR playbooks and security-driven workflows for alert triage, enrichment, investigation, and response.
Identify high-impact, high-volume SOC processes and scale them through automation.
Establish strong engineering practices across version control, code review, testing, CI/CD, deployment, and observability.

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies- including AI-powered development tools.



Were a collaborative engineering team that values ownership, trust, high-quality design, and continuous improvement, with AI used as a tool to enhance productivity and decision-making. Engineers work closely with product and design, shaping solutions from discovery to delivery while challenging assumptions and focusing on solving the right problems. This role offers strong technical ownership, architectural influence, mentorship opportunities, and support for ongoing professional growth.

What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

We are seeking an experienced ServiceNow Platform Manager / Team Leader to own and lead our enterprise ServiceNow platform. This role combines technical leadership, team management, platform governance, and strategic delivery to ensure ServiceNow continues to deliver business value across IT and business functions.
You will lead (direct and indirect) a team of administrators, developers, and analysts while working closely with stakeholders across the different departments within the organization to drive platform adoption, scalability, and operational excellence.

Key Responsibilities
Own the end-to-end ServiceNow platform roadmap, aligning capabilities with business priorities.
Develop, define and enforce platform governance, standards, and best practices.
Lead platform upgrades, release management, and continuous improvement initiativesSet clear goals, track performance, and mentor team members.
Translate business requirements into scalable platform solutions.
Ensure on-time, high-quality delivery of projects and enhancements.

Technical Account Managers are the primary contact for Varonis customers and the first line of defense for data. All Varonis employees are Customer Success and Technical Account Managers are the tip of the spear. Technical Account Managers provide onboarding and proactive on-going value and support to Varonis customers. To be a successful Technical Account Manager you must be a motivated self-starter, be committed to on-going self-development and education and possess strong technical acumen and customer service skills.

Responsibilities:
Ensure customer success and value of Varonis solution during the post-sales customer lifecycle.
Lead onboarding, adoption, enablement, and operationalization of Varonis solutions.
Serve as the primary point of contact and technical advisor for assigned customers.
Drive measurable customer outcomes from Varonis solutions.
Conduct regular customer success reviews, Quarterly Business Reviews (QBRs), and risk assessments.
Build strong relationships with customers stakeholders, security teams, platform owners, and executive leadership.
Work in strong cooperation with Varonis Sales, Professional Services, Support, and Product teams to ensure customer success.
Proactively identify adoption gaps, technical risks, and customer health issues, and drive remediation plans.
Maintain deep expertise in Varonis technologies, security trends, cloud platforms, and AI-related security challenges.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.

The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.

Responsibilities:

Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

Required Senior Deep Learning Researcher
About the team:
A pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Our team is at the forefront of our most advanced AI efforts. As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products. If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

We are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

We are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems.
In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation.
This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure-you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation
What will your job look like:
Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms - turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network.
Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency.
Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation.
Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements.
Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules.
Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements.