דרושים » מחשבים ורשתות » software Linux integration engineer - os team

our platform sw department is looking for a highly driven and dynamic sw customer engineer to join our team and help shape the future of autonomous driving systems.
our team ensures fast and successful integration of mobileye's technologies in customers solutions (car manufacturers / tier1), from the design phase to a car launch, while working closely with internal r&d teams. we're looking for a strong, hands-on, software engineer who is passionately motivated by challenges and excels in troubleshooting hard, complex problems. what will your job look like?
you will work directly with mobileye's development teams on integration into the car manufacturer's system from a Real-Time, safety-critical system aspects.
you will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
support new boards bring up: coding, integration, unit TEST and customer support..
integration with various Embedded systems
 if you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

our radar team develops cutting-edge radar technology for autonomous driving (av) and advanced driver-assistance systems (adas). we are looking for a Cyber security architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
in this role, you will define security architecture for radar hardware, Embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mobileyes mission-critical sensing technology.
youll be part of a team shaping the future of autonomous driving. our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale. what will your job look like?
security architecture design - develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
threat modeling & risk assessment (tara) - perform threat analysis and risk assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
secure communication - implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
secure software design - define and enforce security controls for apis, middleware, and integration points between radar systems and other vehicle subsystems.
compliance & standards - ensure radar systems meet iso 21434, unece wp.29, and other relevant automotive cybersecurity regulations.
collaboration with r&d - work closely with radar engineers, Embedded software developers, and system architects to embed security into the design process.
incident response support - provide architectural guidance during security incidents involving radar systems.
technology evaluation - assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

we are seeking a highly technical program manager to join the execution program management team. in this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals.you will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. what will your job look like:
lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
monitor progress and proactively drive issue resolution to maintain predictable delivery.
define, track, and analyze execution kpis.
identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
drive transparency, accountability, and operational rigor across stakeholders.
engage directly with development artifacts, including:
- reading and reviewing code.
- running scripts and pipelines (e.g., Python, bash).
- analyzing logs and outputs.
- supporting debugging and validation tracking.
- help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

We are looking for an AI Quality & Evaluation Engineer to own the quality planning and execution of an AI-powered chat application operating over complex law enforcement and mobile device data.
This is a highly hands-on role focused on execution rather than high-level QA strategy. You will design, build, and run automated and semi-automated tests for LLM-driven workflows, create evaluation datasets, and continuously stress the system with realistic and extreme investigative scenarios.
What you will be doing:
Design, plan, and execute quality tests for an AI chat application built on LLMs and investigative data.
Build and maintain automation frameworks for prompt regression testing, multi-turn conversations, and model upgrades.
Create and curate evaluation datasets used for regression testing, benchmarking, and model comparison.
Design complex investigative scenarios including ambiguous, incomplete, or conflicting datasets.
Execute manual exploratory testing to uncover hallucinations, reasoning failures, and edge cases.
Work closely with engineering, product, and data teams as part of the development lifecycle.
Validate release readiness and identify regressions related to prompts, models, or data pipelines.
What makes this role different:
You are evaluating AI behavior rather than fixed expected outputs.
You help define what correctness and quality mean for AI reasoning over sensitive data.
You actively invent scenarios to stretch and break the system.
Your work directly impacts trust, reliability, and investigative confidence.

We are seeking a Performance Engineer to join our Core department. In this pivotal role, you will lead performance engineering efforts across our company, working closely with the entire R&D department.
Your mission is establishing and implementing a comprehensive non-functional testing strategy to ensure system performance, stability, and availability.
You will identify potential bottlenecks, define testing standards, and collaborate with development teams to optimize our platforms performance.
Responsibilities:
Establish a holistic non-functional testing strategy for system performance, stability, and availability.
Define test code standards, tools, monitoring, and troubleshooting procedures.
Acquire deep knowledge of system architecture to identify and mitigate potential performance bottlenecks and risks.
Validate the performance of new product capabilities alongside product design and development.
Document performance requirements and metrics, working with development teams to implement them.
Generate performance reports and metrics, providing insights and recommendations for improvements.
Lead performance testing efforts, including load, stress, and scalability testing.
Implement and utilize application monitoring and observability tools to detect and resolve performance issues proactively.
Collaborate across teams to ensure performance considerations are integrated throughout the software development lifecycle.
Mentor and guide team members, promoting best practices in performance engineering.

We are looking for a highly technical CTF Infrastructure Engineer to join our team. This role combines the technical depth of a Cyber Range Engineer with the creative and storytelling aspects of system gamification.
In this role, you will design and implement the infrastructure behind our Capture The Flag (CTF) environments, while also taking part in architecting the CTF scenarios themselves. You will be responsible for building and orchestrating complex, cloud-based lab environments where our security validation takes place.
This is a unique position for an engineer who combines creativity with deep technical problem-solving. You wont just be provisioning servers for uptime; you will develop the logic that spins up realistic, intentionally vulnerable, and dynamic environments in the cloud to simulate real-world attack scenarios. You will utilize our internal infrastructure, automate flows with Python, and perform deep configurations on Windows and Linux systems to set the stage for cyber attacks.
As part of this role, you will also take part in creating unique stories and hands-on experiences for CTF scenarios, working closely with security researchers to translate real-world threats into engaging, reproducible challenges.
Roles and Responsibilities:
End-to-End CTF Ownership: Design and build new Capture The Flag experiences from concept to execution, including scenario design, infrastructure, automation, and validation.
CTF Environments Development: Write code (primarily in Python) to automate the creation and behavior of complex lab environments.
Cloud Architecture: Design, deploy, and manage dynamic network environments on AWS using Terraform.
Deep System Configuration: Configure Windows and Linux internals (Registry, GPO, domain settings) using PowerShell and Bash to support specific attack vectors and research scenarios.
Pipeline Management: Maintain and tweak the logic of our build environments using Jenkins (writing and managing Groovy scripts).
Work closely with Security Researchers to understand new threats and translate them into reproducible, runnable lab environments.

Write clean, scalable, and reusable code while enforcing best practices around architecture, code reviews, and testing
Collaborate with product owners to understand requirements and take full ownership from design and implementation through test automation and production deployment.
Design and implement new systems and features while enhancing existing systems with new capabilities
Mentor colleagues and promote knowledge-sharing+

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing our company with smooth and robust DevOps solutions.
Roles and Responsibilities:
Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices.

We are looking for a Senior DevOps Engineer to join our DevOps team. In this role, you will take ownership of the production environment, lead strategic operational processes, and partner closely with R&D teams to drive reliability, scalability, and automation across the organization. You will be responsible for designing, building, and evolving our infrastructure and automation solutions, with a strong emphasis on modern DevOps best practices.
Responsibilities
Own and maintain a mature, stable, and secure production environment
Collaborate with cross-functional engineering teams to support development and delivery processes
Design and implement best-practice CI/CD solutions, especially for microservices architectures
Maintain, upgrade, and take end-to-end ownership of Kubernetes clusters (EKS)
Build, manage, and optimize the companys cloud infrastructure.

We are looking for a QA Automation Engineer to join our Viewer team and help ensure the reliability, scalability, and performance of our web applications. In this role, you will design and maintain automation frameworks, develop end-to-end tests, and proactively identify issues before they impact our users. You will also be responsible for production releases and managing production bugs, ensuring smooth deployments and quick resolution of critical issues. This position requires strong technical expertise, self-management, and excellent communication skills to collaborate effectively across teams.
Key Responsibilities:
Design and maintain robust test automation frameworks using JavaScript/TypeScript.
Develop and execute automated tests leveraging tools such as Playwright, Selenium, or Cypress.
Collaborate with developers, product managers, and designers to embed quality throughout the development lifecycle.
Debug complex issues using browser DevTools, network logs, and other diagnostic tools.
Integrate automated tests into CI/CD pipelines in partnership with DevOps and engineering teams.
Drive quality initiatives by identifying gaps and proposing improvements in testing processes.