לוח משרות דרושים בהרצליה

We are looking for an experienced Machine Learning Engineer to build and scale production-grade ML solutions, primarily on large-scale tabular automotive data for quality and cybersecurity products. Youll help define the engineering standards that enable the Data Science team to deliver at scale, with opportunities to own selected ML features end-to-end.
Youll work with massive (often live-streaming) automotive datasets and real-world constraints around latency, CPU, memory, and I/O. This is a highly collaborative role, and youll partner closely with data science and data engineering teams. Youll be driving technical alignment through clear communication and mentoring others via design and code reviews.
This role is full-time and based in Herzliya, Israel.
Responsibilities
Act as the DS engineering axis: drive designs with focus on performance (I/O, CPU, memory, latency, cost).
Lead heavy ML engineering efforts when needed (optimization, scaling, reliability), while collaborating with other team members and supporting them in their ML-related projects.
Own selected ML features and projects end-to-end, including DS work (EDA, features, modeling, evaluation) plus production delivery, monitoring and iteration.
Build production tabular - ML components: training, batch/near-real-time scoring, inference services, and shared libraries.
Set standards and tooling for profiling and preventing performance regressions.
Partner with the data engineers on data / ML contracts (schemas, SLAs, formats/partitioning) between pipelines and ML components.
Raise the bar via mentoring, documentation, and a strong code/design review culture, in the Data Science team.

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.

We are looking for a talented, hands-on and experienced DevOps engineer to join the Engineering team and focus on supporting the companys core technology and engineering systems.
As a DevOps Engineer you will focus on operations in order to ensure scalability, service reliability, capacity, and performance.
You will design and develop for our innovative, highly scalable, and high-performance automotive security solution.
This role is full-time and is Israel based.
Responsibilities
Implement a high scale Software as a Service (SaaS) solution.
Implement cloud infrastructure in AWS/ Azure/ GCP.
Implement the company's engineering systems.
Rollout processes for new functionality introduced to the cloud infrastructure by the team.

Required Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.
End-to-end ownership mindset with a proactive, production-first approach.

We are looking for a talented Business Development Representative (BDR) to join our team and help drive pipeline growth across our core solutions.
You will operate in the B2B/B2E automotive and smart mobility market, one of the fastest-growing segments in enterprise technology. The role involves prospecting into leading global automakers, tier-1 suppliers, IoT platform providers, and smart mobility companies. You will engage in complex enterprise sales cycles and work directly with senior stakeholders across cybersecurity, IT, quality, and AI organizations. You will also play a hands-on role in refining the outbound playbooks and processes that support scalable growth.
This role is full-time and is based in Herzliya, Israel.
The role follows a Monday-Friday work week with a hybrid schedule, three days in the office and two days remote. Flexibility to work North America (East Coast) hours is expected to support global prospects and customers as needed.
Responsibilities
Conduct outbound prospecting via multi touch point sequencing, including email, phone, LinkedIn, and other channels to generate qualified meetings for Sales executives
Engage and qualify inbound leads from marketing campaigns, ensuring timely follow-up and conversion into opportunities
Research and identify target accounts, key decision makers, and deep industry trends, spanning automotive OEMs, IoT, smart mobility companies, and tier-1 suppliers
Partner closely with Marketing, Sales executives, partners and alliances team, as well as Product and Customer Success teams to refine outreach strategies and improve conversion rates
Boost visibility and maintain accurate, up-to-date prospect interactions in Salesforce
Test and optimize messaging, outreach cadences, and engagement strategies based on performance data
Provide feedback on lead quality and collaborate with Marketing on campaign alignment
Be GenAI-savvy and willing to test and expand, in a controlled and responsible way, what can be achieved with AI tools.

We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.
Key Responsibilities:
Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

In this role, you will be responsible for:
Work as part of a team to operate a large-scale test automation lab for multiple products
Test and integrate SW and HW deliveries from various global R&D teams, including manage, debug and failure analysis of automated tests
Automate manual tasks for the lab and collaborate with technology teams to migrate more setups to the lab
Constantly improve and innovate our lab procedures, HW setups and SW tools