Our ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
What you will be doing
Take a key part in designing, building and maintaining our ML serving platform and making sure it is scalable and reliable. Our goal is to provide researchers and other developers in the company an easy way to deploy, monitor and maintain their services. Design, build and maintain cloud infrastructure to provide a reliable and scalable platform for other teams to build on. Ensure high availability and performance of our production environment. Implement and manage CI/CD pipelines to ensure seamless testing, deployment, and monitoring of services running on our platform. Develop and maintain monitoring and alerting systems to ensure the early detection of issues, enabling proactive problem resolution. Practice sustainable incident response and blameless postmortems. Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops. Develop tools and self-serve solutions to simplify the development and deployment processes for other teams at the company. Continuously evolve and learn new technologies that can improve our teams workflow, accelerate the development process and make it more reliable.

Take part in the development of products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
- Design, implement and execute test plans and test cases.
- Develop and maintain automated test frameworks.
- Identify, document, and track software and system defects.
- Continuously review and improve quality assurance processes.
- Collaborate with development teams to ensure product quality.
- Hands-on debugging at lab.

We are looking for a Server Integration Lead to be part of defining, shaping and integrating solutions to next generation of our cloud platforms. Our success depends on our world-class server infrastructure; were handling massive scale and rapid integration of emergent technologies.

Key job responsibilities:
- Own the end-to-end validation and integration process for new server hardware platforms entering production-scale data center environments.
- Collaborate cross-functionally with hardware engineering, firmware, capacity planning, and infrastructure operations to align deployment readiness with business objectives.
- Establish and track KPIs such as failure rates, test coverage, and integration velocity to continuously improve infrastructure readiness and time-to-market.
- Lead continuous improvement initiatives across vetting, provisioning, and early-life testing workflows, automating manual processes wherever possible.

The Graviton Software team is looking for Software Engineers to develop tools to drive the optimization of open source and internal applications. part of us, designed Graviton as a strategic initiative to improve how software works at our scale. Graviton is Arm-based CPU that delivers better performance, lower price and lower carbon footprint over comparable x86-based instances.

Key job responsibilities
As a Software Developer, you will:
- Build software framework for tools to analyze performance of hardware and software components.
- Leverage existing perf tools like sysstat, sysctl, perf, etc.
- Automate the collection and analysis of processor, OS and workload performance data.
- Help external customers and various internal services like Lambda, Elastic Map Reduce, ElastiCache, and RDS to troubleshoot bottlenecks and to optimize the architecture, algorithms, and deployment on Graviton.
- Work on Linux and other open source code, improving it and contributing the changes back to the community.
- Play an instrumental role in driving the roadmap to deliver cost-effective and performant computing systems.
- Use and further develop your deep knowledge in areas including design, implementation, and data analysis.
- Have the opportunity to lead the innovation and deliver software that powers the world largest cloud provider.
- If you are already an open source developer or passionate about it, you will be able to continue your passion and contribute back to the community across all those projects.

our company's Autonomous Driving Software Group in Haifa is looking for a Teach Lead to join our Team.
Our group is responsible for writing new code to replace the existing code with a new design.
We develop the software architecture system and tools to enable support for many new design wins and scale the company project to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the company's chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Provide guidance and mentorship to software development teams.
Defining work process tools and technologies to enforce our customers' requirements.
Working in a large group of software developers with cross-team collaboration.

Join our group and take a major part in redefining the future of AWS cloud. Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within our infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across AWSs network infrastructure. You will work on cutting-edge, high-performance platforms that power ML, HPC, and storage-intensive workloads.
Your role will involve designing, deploying, and maintaining the SRD codebase, ensuring its reliability and scalability to meet the demands of diverse applications. You will gain in-depth knowledge of the various platforms and services running SRD within AWS, diving deep to understand their unique challenges and complexities.

Collaboration will be key, as you will work across multiple teams at different layers of the software stack. You will also contribute to defining new hardware modules and enabling offloads to enhance performance.

Key job responsibilities:
As an Embedded Software Engineer in the SRD team your primary role will be to develop and optimize the implementation of SRD technology across AWS's network infrastructure. Your responsibilities will encompass designing, deploying, and maintaining SRD code-base, ensuring its reliability and scalability to accommodate the demands of various applications.
Youll be familiar with the different platforms and services that run SRD in AWS. Youll need to deep-dive to understand the different challenges and complexities each of them has. Youll work with multiple teams both on layers bellow and above SRD SW stack often even define new Hardware modules and enable new offloads to optimize performance.

We are our company's Production Test team - responsible for the definition, development, and deployment of production test operations for the worlds most advanced SoCs for ADAS and self-driving vehicles.
This is your opportunity to join a team during its initial forming stage and leave your mark as our company assumes full ownership for its silicon production operations to enable high volume manufacturing for cutting-edge automotive products.
What will your job look like
Work closely with the design teams from early stages of the design process to review DFX architecture and define test requirements.
Define test methodologies and generate test content for high-speed interfaces of embedded IP blocks (LPDDR4/5, PCIe Gen4/5, D/C/MPHY).
Test program coding, pattern conversion and pre-Si validation (virtual test simulations).
Support Load Board and Probe Card design activities.
Lead post-Si test program debug activities to enable delivery of samples to internal and external customers.
Test program characterization and tuning to enhance test program quality to meet automotive standards.
Support Quality & Reliability team to enable effective and timely qual plan execution.
Lead test deployment activities with tier-one Foundry and OSAT vendors to enable large-scale Wafer-Sort and Final-Test operations.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our company's ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.

We are looking for a Manufacturing SW Development- Team Lead.
As Manufacturing SW Development- Team Lead, you will support Haifa site Operations Activities to enable Software applications, equipment and infrastructures readiness for smooth functionality enabling operation with compliance and quality.
Your role:
Leading team of software developers.
Maintain sustainable approach for Data integrity in ISC application across BU
Accountable for Data accuracy in ISC application across BU to ensure E2E data flow
Design technical solution that meets the functional specifications.
Works with stakeholders to develop the architectural runway in support of new business features and capabilities
Participate in the technical choices in accordance with the architecture choices established by the project managers.
Influences and drives an accepted implementation of architecture.
Develop software in accordance with development standards and procedures.
Integrate your developments into the product and maintain them.
Create and maintain the CI/CD pipelines necessary for the deployment of our solution
Collaborate with cross geographical, cross functional teams and stakeholders at multiple levels to obtain alignment and ensure successful solution implementation.

our team is responsible to foster quality and excellence in our company's products and processes across the entire company. MEQ focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain, In order to support MEQ objectives, The QMS & Production Quality team is looking for a Production Quality & Reliability Engineer
What will your job look like:
Define and implement Quality & Reliability (QnR) framework and workplan for our company's components from first Silicon and onwards (from scratch)
Define and lead/participate in: QnR validation activities, Fault Isolation, Failure analysis according to 8D method, Yield enhancement, SORT kill criteria definition based on reliability risks, Statistical bin limits.
Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers).
Work with contract manufacturers to analyze the production process, process capability and capacity and measurement systems capability.
Assess and control the activities through performing VDA6.3 audits.
Create, manage and update PPAP folders for components.
Identify opportunities for improvement and execute them.
Create relevant work items templates and coach the teams how to use them.
Assess KPIs of processes and activities and suggest corrective actions and improvement.
Represent components QnR related issues with customers, suppliers and 3rd party organizations.