לוח משרות דרושים חשמל ואלקטרוניקה בחיפה, לחיפוש זה נמצאו 236 משרות

As a System Integration Engineer on our DDR team, you'll own end-to-end interface development and integration across the full product lifecycle - from early concept through silicon bring-up to production debugging at scale. You'll be part of developing the advanced memory technologies that power our AGI fleet.

Day-to-day, you will:
1. Shape interface design strategies - influence architectural decisions that define next-generation memory subsystems.
2. Drive system integration - bring together hardware, firmware, and software to deliver optimal design implementations.
3. Debug at cloud scale - leverage data from the world's largest public cloud to solve complex cross-domain challenges.
4. Collaborate with industry leaders - work directly with the top DRAM manufacturers in the world.
5. Raise the bar - set quality standards and drive continuous improvements in performance, reliability, and cost.

Required Lead Program Integrator
Job Description Summary
The Lead Program Integrator (LPI) leads major initiatives within the Program Office, holding end to end ownership of the Install Base (IB) projects and supports the Program Manager.
The role drives day to day execution while establishing strong planning, governance, and controls to ensure successful delivery of multiple IB-related projects.
Partnering with cross functional teams across engineering, manufacturing, quality, regulatory, supply chain, and service, the LPI ensures products meet business, performance, compliance, and launch readiness requirements. As the central integrator and decision maker, the LPI aligns stakeholders, manages trade offs, and turns strategy into results.
The role drives day‑to‑day execution and ensures effective planning, governance, and delivery of complex POCUS programs. Working with cross‑functional teams across engineering, manufacturing, quality, regulatory, supply chain, service, and clinical functions, the LPI ensures systems meet business goals, clinical performance, compliance, and readiness for deployment at the point of care.
Job Description
Roles and Responsibilities:
Collaborate with Program Manager and leadership in delivering scope, schedule, cost, quality, and business commitments across the program
Own program milestones, driving closure of deliverables and actions
Coordinate cross‑functional teams to ensure aligned execution across engineering, manufacturing, quality, regulatory, supply chain, and service
Lead design transfer to enable smooth transition from development to manufacturing and launch
Identify, manage, and mitigate program risks and issues, ensuring timely resolution and continuity
Establish clear governance, planning, and communication rhythms to drive alignment and accountability
Support the Program Manager and leadership to ensure regulatory compliance and business objectives are met throughout the program lifecycle.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

We are looking for a HW Lead Engineer to define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms.

As a HW Lead Engineer on the Nitro team, you'll own the hardware for Annapurna Labs' Network Interface Cards (NICs) used in compute and storage servers. You'll drive development and validation of Nitro cards from concept through mass production, ensuring they're ready to scale.

You'll lead new hardware interface technologies and bring them to large-scale deployment. This fast-paced role puts you at the intersection of technical innovation and customer experience. You'll collaborate with technical experts, senior leaders, and teams across multiple technology areas.

Key job responsibilities
- Design the Nitro Smart Network Interface Card for CMRI vertical use cases.
- Define Nitro card architecture that meets our server integration requirements.
- Partner with design teams and manufacturing sites to enable healthy mass production.
- Review, identify, and qualify second-source electrical components to ensure supply continuity.
- Debug design, manufacturing, and integration issues.
- Assess process capabilities and innovate to simplify processes, reduce costs, and shorten development cycles.
- Collaborate with cross-functional teams to improve product design, processes, and quality.
- Work with customers to optimize the value stream and create joint processes that reduce time and cost.
- Travel internationally 1-2 times per year for week-long trips.

We are a fabless semiconductor company founded by industry veterans, operates as part of us. We develop leading-edge semiconductor products that power Amazon's cloud infrastructure.
As a startup-like organization within us, we create technologies that drive the world's largest cloud provider. Our engineers work with cutting-edge technologies to innovate and shape the future of cloud computing. At Annapurna Labs, you'll experience a fast-paced environment that offers continuous learning opportunities and the chance to develop next-generation platforms.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

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

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

We are looking for a System Engineer with Software Engineering background to be part of defining, shaping and integrating solutions to next generation of our cloud platforms.

We are looking for an exceptional engineer to own the development, testing, and monitoring of the manufacturing health of Amazon Graviton server products. You will be part of a team integrating new silicon, hardware, firmware, and software into a revolutionary system architecture.

Key job responsibilities
Lead triage, debugging, and root cause analysis of systems in our data centers.
Enhance troubleshooting capabilities and drive closure of in-fleet problems.
Analyze customer workflows and requirements to provide targeted resolutions.
Collaborate with Annapurna Labs monitoring team and root cause teams to improve product quality and reliability in fleet operations.
Represent the customer voice by providing fleet operation insights and requirements to Annapurna Labs' ASIC design, software development, QA, and architecture teams.
Develop and maintain training materials, quality documentation, and collateral to improve in-fleet operations.
Design and implement tools and scripts to support projects and customize solutions based on requirements.
Travel as needed, approximately 2-4 times per year.

We are seeking an exceptional an exceptional leader to build and lead our next-generation internal Analog IP design team. This is a unique opportunity to create a world-class analog design center from the ground up, developing the critical IP blocks that power all of our custom silicon products, including Graviton (server CPUs) and Nitro (networking/security accelerators).

Key job responsibilities
Build the team: Recruit, hire, and develop a world-class analog/mixed-signal design team from the ground up. Define the org structure, roles, and growth path.

Define the IP strategy: Own the analog IP roadmap across all Annapurna Labs products. Evaluate build vs. buy decisions and drive internal capability development.

Drive execution: Lead the full design cycle from architecture through silicon validation - spec, schematic, layout, simulation, tapeout, and bring-up.

Collaborate cross-functionally: Partner with SoC architecture, digital design, physical design, DFT, packaging, and system teams to integrate analog IP seamlessly.

Set technical direction: Define design methodologies, flows, and best practices. Evaluate and select EDA tools, PDKs, and foundry processes.

Innovate at scale: Develop IP that is reusable, portable across process nodes, and designed to meet the performance, power, and area (PPA) needs of multiple products simultaneously.

Engage with leadership: Communicate strategy, progress, and risk to senior leadership. Influence the overall silicon roadmap with analog capabilities and constraints.