דרושים » תוכנה » Software Linux Integration Engineer - OS team

The company Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our companys autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

The company's Software group is looking for an excellent experienced DevOps engineer to join the Software infrastructure team.
our company's software infrastructure CI Team is responsible for maintaining various CI flows and maintaining the high quality of the software and system products.
Your expertise will contribute to our ongoing intensive development process while maintaining live production.
Join us to make a difference in how the world drives!
What will your job look like?
Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
Help shape a structured, collaborative, and improvement-driven engineering culture.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Required ChipDev CAD Engineer, Hardware, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel.
About the job
Our Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Responsibilities
Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
Create software solutions that improve the hardware design process through automation. Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow.
Work directly with the hardware team on projects prototype and then deploy tools to make a positive impact on our chip hardware development process. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the issues and the impact on hardware and quality.

We are looking for talented Engineers to join our Virtual Platforms team.
Virtual platforms play a crucial role in accelerating the development process by enabling early Software development, System-Level testing, and architectural exploration without the constraints of physical prototypes.

Key job responsibilities
As a Virtual Platform Engineer, you will:
Develop accurate and efficient simulation models of hardware components.
Create and maintain Virtual Platform environments for software development and system-level validation.
Debug and optimize complex hardware-software interactions.

This role requires strong communication skills and a collaborative mindset, as you'll frequently interact with various teams across AWS to deliver optimal solutions.

we are looking for a Linux Kernel Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
we are building the highest-performing file system in the world. This requires innovating all the way into the Linux operating systems that require accessing data at unlimited bandwidth and low latency.
We are forming a new team focused solely on Kernel development, collaborating with the upstream community, and setting new industry standards for fast file systems.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.