דרושים » אבטחת איכות QA » Release Engineer

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for a highly skilled Application Engineer to join our Product & Projects Group and play a critical role in developing and deploying our advanced automotive inspection solutions.
A day in the life and how you’ll make an impact:
* Develop deep technical expertise in UVeye’s multi-disciplinary inspection systems to support product development and customer implementations.
* Collaborate with R&D teams (Hardware, Software, AI, Computer Vision & Data Science) to define and develop new features, from the initial design until full execution at the customer site.
* Lead and manage Alpha and Beta testing of new products and features at customer sites, both remotely and onsite.
* Support the seamless transition of new products and processes from R&D to full-scale deployment, working closely with Customer Support and Engineering teams.
* Act as a technical liaison, communicating and collaborating with customers, vendors, and third-party partners.
* Drive Agile R&D matrix work, ensuring timely and high-quality execution of the product roadmap.

we believe when you get the people thing right, you can build teams that can change the world. Were helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloittes "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And were just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Were in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment
Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field
Design and build AI agents that automate key workflows for recruiters, empowering them with intelligent automation capabilities
Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant
Implement practical applications of LLM research findings, creating scalable tools for user-facing applications
Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
Collaborate with cross-functional teams and our global R&D team to drive AI innovation and evolve strategies across our products

Were growing and looking to hire Site Reliability Engineer (SRE) who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are looking for a skilled and motivated Site Reliability Engineer (SRE) to join our team and help ensure our production cloud environment's reliability, performance, and scalability. As an SRE, you will work at the intersection of software engineering and operations, taking ownership of system stability, incident response, automation, and continuous improvement of our infrastructure.
This role is ideal for engineers who thrive in dynamic environments, value reliability, and enjoy building resilient and scalable systems.
As an SRE, Your impact will be:
Production Reliability: Ensure system uptime and performance by identifying and addressing potential issues before they affect end users.
Incident Response: Serve as part of the on-call rotation, rapidly diagnosing and resolving incidents, and conducting root cause analysis and postmortems.
Monitoring and Alerting: Build and maintain monitoring dashboards and alerting systems to detect and respond to anomalies in real time.
Automation and Tooling: Develop and maintain automation tools for deployments, scaling, and operational efficiency using Terraform, Ansible, Bash, or Python.
Infrastructure Maintenance: Perform regular maintenance and upgrades of production infrastructure to ensure security, stability, and performance.
Release Engineering: Support and optimize the rollout of new features and updates, minimizing risk and impact on production environments.
Staging Environment Management: Ensure staging environments accurately reflect production for robust testing and validation of changes.

We are looking for an experienced Machine Learning Engineer who is passionate about developing scalable and robust machine learning infrastructures and has a keen interest in leveraging advanced AI models to drive significant business impact. The job involves creating and maintaining high-performance model inference systems that support both batch and real-time AI processing in cloud and on-premises environments.
Responsibilities:
Design and implement scalable, high-availability machine learning inference architectures.
Develop robust systems that efficiently manage the deployment and operation of complex models like LLMs and anomaly detectors.
Utilize AWS technologies such as SageMaker, Lambda, SQS, and Redshift to optimize the performance and scalability of our machine learning infrastructure.
Collaborate with data scientists and AI researchers to ensure seamless integration and optimal performance of machine learning models.
Build and maintain monitoring systems to ensure the stability and efficiency of the machine learning infrastructure.
Troubleshoot and resolve issues related to model performance, infrastructure bottlenecks, and system failures.
Maintain strong communication skills and collaborate effectively within a dynamic team environment.

Required Site Reliability Engineer- Infra
Realize your potential by joining the leading performance-driven advertising company!
As a Site Reliability Engineer- infra, on our Infrastructure team at the TLV office, you will play a key role in ensuring the reliability, scalability, and performance of our critical systems. You will be responsible for managing and improving our core infrastructure, with a focus on automation, monitoring, and incident response. You will work with a wide range of technologies, including Kubernetes, monitoring and observability tools, configuration management systems, and core networking services.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure the reliability, availability, and performance of our infrastructure services.
Manage and maintain our Kubernetes infrastructure, including KubeVirt.
Design, implement, and maintain our monitoring and observability stack (SensuGo, VictoriaMetrics, Prometheus, ELK).
Automate infrastructure provisioning, configuration, and deployment processes using Puppet and Ansible.
Manage and maintain core services such as DNS and networking.
Troubleshoot and resolve complex infrastructure issues in a timely and efficient manner.
Participate in on-call rotations and incident response.
Develop and maintain infrastructure-as-code (IaC).
Identify and implement proactive measures to prevent incidents and improve system reliability.
Collaborate with development teams to ensure smooth and reliable deployments.
Contribute to the design and implementation of new infrastructure solutions.
Drive improvements in system architecture, processes, and tools.
Mentor and coach other team members.

we empower organizations to run in the cloud by aligning operations and security around access management. Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments reducing the access risk while improving productivity.
has offices in New York and Tel Aviv and supports dozens of customers across the US and the world, including large Fortune 500 companies and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What are we looking for?
We are seeking a highly skilled and motivated Software Engineering Team Leader to build and lead our new Analysis & Discovery team. In this pivotal role, you will be responsible for the technical vision, execution, and management of the team, driving the development of modules that provide actionable intelligence in the realm of identity management, permissions, and digital identities.

About the Analysis & Discovery Team:
The Analysis & Discovery team plays a crucial role in empowering administrators with deep insights into their organization's identity and permission landscape. Our mission is to develop cutting-edge modules that allow administrators to discover, analyze, and act upon how permissions and entitlements are granted and utilized across their systems. We are at the forefront of tackling complex challenges in identity management, including the new developing field of non-human (digital) identities.

Responsibilities:
Lead, mentor, and grow a team of talented software engineers in a fast-paced startup environment.
Spearhead the design, development, and maintenance of modules focused on high-scale data ingestion,processing & inferring insights
Pioneering the development of new modules to manage and secure non-human identities.
Lead & apply Agile/SCRUM methodologies, including facilitating SCRUM ceremonies and fostering a culture of continuous improvement.
Perform deep technical dives to resolve complex issues and ensure high-quality deliverables.
Collaborate closely with product management, security researchers, and other engineering teams to define roadmaps and deliver impactful solutions.
Foster a culture of innovation, security-first, technical excellence, and strong teamwork.

Are you passionate about AI and machine learning? Do you thrive on rapid experimentation, prototyping, and building innovative tools that solve real business problems?
Do you enjoy diving into unfamiliar technologies, quickly assessing and demonstrating their potential impact?
Were looking for an exceptional AI Innovation Engineer to join the Office of the CEOsomeone who can seamlessly blend deep technical expertise with product thinking and business acumen. In this high-impact role, youll lead AI initiatives that drive both internal efficiency and product innovation, working closely with the CEO, R&D, and Product teams.
Youll take ownership of architecting and building fast-moving PoCs, exploring new technologies, and developing custom solutions that go beyond standard integrations to deliver real business impact.
As an AI Innovation Engineer, you will:
Rapidly design and develop PoCs using cutting-edge AI and ML technologies.
Lead the design and development of AI-powered tools that streamline internal processes and boost productivity.
Build innovative AI features into product suite, focusing on tangible customer and business impact.
Explore and evaluate new frameworks, tools, and approacheswithout being limited to familiar stacks.
Partner closely with Product teams to deeply understand use cases, define requirements, and shape AI-driven solutions.
Work hand-in-hand with R&D and Engineering teams to bring AI concepts to lifefrom ideation to production.
Take ownership of complex technical challenges, architecting AI solutions that are scalable, maintainable, and robust.
Act as a trusted advisor to the CEO, providing insight into the strategic application of AI across the business.
Research, evaluate, and implement emerging AI technologiesprioritizing in-house development of tailored solutions where it creates strategic advantage.
Bridge technical and business worlds, ensuring AI initiatives align with overall company objectives.

About the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to our company's products.
Responsibilities
Develop AI models using satellite data to identify and track events.
Create and manage robust datasets for model training and validation, leveraging AI tools.
Deploy machine learning models for use within a our company Maps integrated product.

We are seeking a skilled Site Reliability Engineer (SRE) to join our team and help build, maintain, and improve the reliability, scalability, and performance of our systems. As an SRE, you will be responsible for owning observability tools, driving incident management processes, and implementing automation to enhance our infrastructure. This role involves collaborating across teams to ensure a robust and efficient technology stack supporting mission-critical systems.

You will:
Proactively enhance system reliability, scalability, and performance through automation, monitoring, and capacity planning.
Develop and maintain observability systems, including distributed tracing, logging, and metrics platforms.
Establish and maintain organizational standards for monitoring, leveraging tools like Prometheus, Grafana, and OpenTelemetry.
Drive incident management, root cause analysis, and continuous improvement initiatives.
Partner with development teams to integrate reliability best practices into the software development lifecycle.
Manage infrastructure at scale in cloud services (AWS advantage) and platforms like Kubernetes or ECS.
Optimize resource utilization to reduce costs while maintaining service quality.

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.
Responsibilities:
Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.