לוח משרות דרושים הייטק תוכנה

we are seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring and handling data
Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

DRS RADA is a global leader in cutting-edge radar solutions for active military protection, counter-drone systems, critical infrastructure security, and border surveillance. Our mission is to deliver reliable, innovative technologies that safeguard lives and assets. Role Summary: As the Quality Program Manager, you will spearhead the quality assurance strategy across R&D, Product, and Operations, ensuring our systems meet the highest standards of reliability, compliance, and performance. You will lead Quality team, define scalable processes, and drive a culture of continuous improvement in a fast-paced, Agile environment. Key Responsibilities: Strategic Quality Leadership
* Develop and execute the Quality Plan, aligning with program milestones and business objectives.
* Establish KPIs, metrics, and risk-based QA methodologies to monitor product reliability and process adherence.
* Lead internal/external audits and ensure compliance with defense industry regulations. Cross-Functional Collaboration
* Partner with R&D, Product, and Delivery teams to embed QA early in the development lifecycle (SDLC).
* Drive Agile/Scrum QA practices, including CI/CD pipelines, automated testing, and failure analysis.
* Mentor QA teams and engineers, fostering technical growth and accountability. Process Excellence & Innovation
* Design and optimize QA processes for hardware/software integration (e.g., radar systems, embedded software).
* Leverage statistical analysis(e.g., Weibull, MTBF) to predict and improve system reliability.
* Implement corrective/preventive actions (CAPA) based on field data and test results.

As a machine learning research engineer at our CTO office, you will:

Conduct long-term open-ended research that enhances and expands deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging core technology to develop and deploy tailored solutions to clients.

We are looking for:

You, a top-notch DevOps engineer with a proven track record, to help design and bring to production a scalable, microservice-based, deep learning industrial process optimization cloud tools that will scale to support thousands of plants, in what will become a worldwide manufacturing optimization system.



In Your Role You Will:

Create and maintain bleeding-edge cloud infrastructure to host services developed in-house (Docker, Kubernetes, Service Mesh)
Work with architects and developers to create services built on observable, scalable and secure infrastructure
Deploy monitoring and alerting tools to give dev and support teams insight into how their services function
Build out CI/CD automation and workflows for new services and maintain workflows for existing services
Leverage public cloud services and tools to improve the efficiency and reliability of our services and workflows
Research and integrate new tools

We are looking for a passionate and experienced Machine Learning Research Engineer with a deep curiosity for understanding systems and a relentless drive to innovate. This role is perfect for a self-starter who thrives on tackling complex problems, exploring new ideas, and pushing boundaries. We want someone who doesnt just solve given tasks but proactively envisions and develops new applications, challenges the status quo, and enhances models and methodologies to deliver cutting-edge solutions.

As a Machine Learning Engineer in our algo R&D, you will:

Conduct cutting-edge research to develop new functionalities for our models, expanding core deep reinforcement learning technology.
Advance the development of AutoML solutions to streamline and enhance machine learning workflows.
Drive the productization of your research, transforming innovative concepts into impactful, production-ready solutions.
Design and implement solutions with a focus on scalability, efficient runtime performance, and seamless deployment in production environments.

The Engineering Student is responsible for updating and maintaining engineering and technical processes within the engineering team of a medical device company.

We are located in Yokneam.

Main responsibilities:

Updating and maintaining engineering and technical documentation.
Supporting manufacturing and production processes.
Handling ERP-related tasks and data management.
Assisted the engineering team with ongoing projects and process improvements.
Collaboration with cross-functional teams (Engineering, QA, Production).
Working with SolidWorks to support design and documentation tasks.

We are looking for a talented Insurance Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve pricing models and rate plans, using advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Develop and refine predictive pricing and risk models using statistical and machine learning techniques to improve underwriting accuracy and pricing fairness
Evaluate existing rate structures and pricing methodologies, identifying opportunities to enhance predictive performance and business impact
Collaborate with actuarial and underwriting teams to ensure models align with regulatory and business requirements
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices

What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques.

We are looking for a talented Senior Data Scientist for our Risk Intelligence team. Risk Intelligence is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. You will work on automating claims payouts and enhancing other aspects of rating, claims, and customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, A/B testing, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to improve our underwriting and claims settlement processes
Assess modelling techniques, identify improvements and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Provide technical mentorship to other team members
Exemplify and foster humble, collaborative and impact-obsessed culture

We are seeking a skilled and motivated Engineering Manager to lead the development of our claims and core systems - a mission-critical part of our platform. This role is an opportunity to shape our technical vision, build a high-performing engineering team, and drive innovation in a key area of our business.
A day in the life:
Architect and lead the development of our claims system, ensuring scalability and performance.
Build, mentor, and manage a high-performing engineering team.
Lead technical decisions and drive engineering best practices across teams.
Collaborate with cross-functional teams (Product, Data, Business, Engineering) globally.
Balance hands-on development with strategic leadership, optimizing for both velocity and quality.
Partner closely with product teams to design and implement critical features.
Shape our system architecture and technology choices to drive long-term success.
Foster a culture of collaboration, innovation, and continuous improvement.

We are looking for an experienced DevOps Engineer, or a Software engineer with substantial experience in Cloud development, to join our growing DevOps group.
Responsibilities
Be part of a global R&D DevOps group responsible for a diverse production environment based on Microsoft Azure, that hosts a data security SaaS platform which protects our customers from cyberattacks and insider threats.
Help maintain our complex Azure based pre-production and production environments to preserve our platform availability and reliability.
Design and development of DevOps tools, CI\CD pipelines and automation processes for configuration, deployment and maintenance of our complex pre-production and production cloud environments.
Collaborate with R&D engineering teams on design and implementation of new features.
Work on DevOps group incidents and internal tickets, including triage, investigation of issues and requests, and analysis on how to reduce their frequency and effort.
Research, examine and implement new cloud technologies and open source tools.

We are growing fast and were looking for a sharp, calm-under-pressure Escalation Engineer to join the team and make an immediate impact.
Were passionate about building software that solves problems. We count on our performance and stability engineers to empower our users with a rich feature set, high availability, and stellar performance level to pursue their missions. As we expand our customer deployments, we are currently seeking experienced stability and performance engineers to deliver insights from massive scale data in real time. Specifically, we are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.
In this role, you will serve as an escalation point within our organization, providing rapid response to emerging issues with both our application and platform. Escalation Engineers are first responders who handle emergent issues proactively where possible and reactively where necessary, joining critical customer calls on-demand to quickly diagnose and resolve urgent issues. Through the use of monitoring tools and extensive communication with other teams, it is your role to provide solutions-focused direction while remaining calm, cool, and collected. This role requires a high degree of context-switching and a love for a fast-paced, high-impact work environment.
Responsibilities:
Act as a primary escalation point for complex issues that cannot be resolved by Technical Support Engineers
Rapidly triage and analyze complex system/software related issues including outages, performance issues, and business blockers
Triage information from multiple sources to spot and respond to trending issues and wide events
Immediately join customer calls with customer IT teams, and provide solutions to and analysis of high-urgency issues relating to system and/or software.
Use proactive tools to respond to and resolve priority issues
Evaluate performance issues and make resource adjustments to customer environments
Occasionally respond to off-hours incidents during major outages.
Collaborate cross-functionally with support, engineering, and DevOps teams.