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We are looking for a passionate and driven Product & Process Engineer to join our team.
In this role, you will serve as the engineering focal point within a cross-functional team, leading technical investigations into product and production issues.
Youll be at the heart of problem-solving identifying root causes, implementing effective solutions, and working closely with the Quality and Service teams to ensure our products meet the highest standards.
Serve as the Engineering representative in a cross-functional team to investigate and resolve quality issues in products and production lines.
Support QA in failure investigations using structured problem-solving tools (e.g., 5 Whys, Fishbone Diagram, FMEA).
Define and implement corrective and preventive actions (CAPA) and verify their effectiveness.
Coordinate Engineering Change Orders (ECOs) and ensure proper implementation.
Analyze product performance, address field complaints and non-conformances.
Lead design changes and component updates due to supplier or regulatory changes.
Ensure compliance with quality standards and regulatory requirements.
Support production and process improvements, including troubleshooting and yield enhancement.
Collaborate with suppliers to resolve quality issues and ensure component reliability.
Prepare and present technical reports and investigation summaries.
Contribute to continuous improvement initiatives.

we are looking for an Electronic Engineer to join the Engineering Department.
Job Description:
Redesign electronic boards to improve quality and replace obsolete parts.
Find and approve alternatives to obsolete or long lead time parts.
Define and perform validation and verification tests.
Define test procedures for electronic boards.
Support production lines by failures investigation and problems solving.

We are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps us running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency. Our Technology Stack sample: AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI Programming languages: Python, NodeJS, Go, Kotlin

What am I going to do?:

* Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
* Improve resiliency and cost efficiency of our cloud infrastructure.
* Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
* Develop AI-driven self-service solutions to accelerate Developer issue resolution and resource provisioning.
* Develop and adopt new tools to make Development and Operations processes more efficient.
* Collaborate with developers to optimize system performance, reliability, and scale.
* Evolve and maintain our AWS infrastructure by improving and adopting new services.
* Support AI/ML/GenAI services with scalable infrastructure and monitoring.
* Maintain our availability by participating in DevOps on-call shifts.
* Mentor DevOps engineers.

Equal opportunities:
Were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

mPrest Energy is looking for an experienced Software System Engineer (Technical Product Manager) to join our team. We are a global leader in developing advanced DERMS solutions, enabling utilities to manage, optimize, and control distributed energy resources such as solar PV, energy storage, and other smart grid technologies. We are looking for a seasoned engineer to join our talented system engineering department. As a system engineer you will be leading complex, multidisciplinary projects as a the technical owner, processing the customer needs and values into system specifications and requirements, overview the development and chair the acceptance processes.

Responsibilities:
•Customer Liaison. • Analysis of customer needs and requirements. • Identification of internal Project’s Specifications and requirements. • Ability to lead and manage sub-contractors, including contractual engagements and procurement supervision. • Ability to lead a team of engineers, including the management of work plans and delivery schedules. • Ability to create effective and deployable solutions to complex engineering challenges. • Preparing, Leading and participating in Design Reviews and contractual engagements activities. • Leading acceptance and delivery processes with multiple entities, domestically and abroad. • Reporting to the Software Team Lead.

We are a cutting-edge cybersecurity lab dedicated to addressing next-generation threats through advanced AI and machine learning. Our work spans multiple domains, including endpoint protection, cloud security, and AI-driven defense technologies. Our mission is to invent and implement breakthrough solutions that provide Huawei with a strategic edge in the global cyber defense landscape. By bridging research and engineering, our teams transform innovative concepts into real-world solutions that safeguard enterprises and critical infrastructure. We also maintain close collaborations with leading universities and international innovation hubs.
Role Overview
We are seeking a Senior Applied Machine Learning / AI Engineer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models, specifically for cybersecurity applications. This role combines applied ML engineering with innovation and research, requiring someone who can move seamlessly from proof-of-concept to production, and lead initiatives that drive our AI-driven security strategy.
Key Responsibilities
Lead the design, training, and deployment of advanced ML/DL models for cybersecurity use cases (malware detection, anomaly detection, network behavior analytics, adversarial ML defense, etc.)
Drive innovation by developing proof-of-concepts, exploring novel AI techniques, and translating research findings into practical, scalable solutions
Collaborate with cross-functional teams (security researchers, software engineers, product managers) to bring ML-driven features into production environments
Analyze large-scale, heterogeneous cybersecurity datasets (logs, network traffic, endpoint telemetry, threat intel)
Implement robust model monitoring, explainability, and optimization for real-world environments
Stay at the forefront of advances in AI, data science, and cybersecurity; identify emerging opportunities and mentor junior engineers/researchers
Represent the company in external collaborations, conferences, and innovation forums.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

our company, Huaweis Tel Aviv Research and Innovation Center, is looking for an experienced hands-on software architect with expertise in Cloud, AI, and Distributed Systems to join our AI-accelerated Cloud Storage group. The team designs and develops cutting-edge cloud technologies that power next-generation AI applications, optimizing performance, scalability, and efficiency.
The role involves both high-level system understanding and low-level grasp of the connection between storage and AI, to push the boundaries of cloud infrastructure for AI workloads. If you want to be part of something bigger, if you are a team player with excellent communication skills and the motivation to revolutionize AI-driven cloud technologies, youre welcome on board!
What Will You Be Doing?
Research, design, and innovate cloud-based AI acceleration technologies
Analyze AI application performance, identify bottlenecks, and optimize decision-making mechanisms
Collaborate with other engineers to develop AI optimizations, Storage backend and related POCs.
Investigate global trends in AI infrastructure and cloud computing to shape long-term architecture
Collaborate with global teams on next-generation cloud solutions for AI.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.