לוח משרות דרושים, לחיפוש זה נמצאו 34,966 משרות

As part of our Silicon Technologies group, youll help design our next-generation, power-efficient, system-on-chip (SoC). Our wireless SoC organization is responsible for all aspects of wireless silicon development. With a particular emphasis on highly energy-efficient design and new technologies that transform the user experience at the product level. Joining this group means youll be responsible for crafting and building the technology that fuels our devices. Together, you and your team will enable our customers to do all the things they love with their devices.

If you enjoy a fast-paced and challenging environment, and collaborating with people across different functional areas as well as thriving during crisis times, we encourage you to apply.

Responsibility of block and/or sub-system micro-architecture and design implementation.
Work with architects and system teams to define the right solution for the product requirements.
Implement block and/or sub-system design, analyze performance and power and support verification teams.
Responsibility of FE flows such as synthesis, CDC, RDC and Lint to ensure high quality production worthy design.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

This role is for a Design Verification Engineer who will enable us to produce fully functional first silicon IP designs. The responsibilities include all phases of pre-silicon verification including but not limited to: establishing DV methodology, test-plan development, verification environment development including stimulus and checkers, test-writing, debug, coverage, sign-off for RTL freeze and tape-out.

The position is relevant to all our sites: Herzliya, Haifa and Jerusalem.

In this role, you will be responsible for ensuring bug-free first silicon for part of the IP and are expected to: Develop detailed test and coverage plans based on the micro-architecture Develop verification methodology suitable for the IP, ensuring a scalable and portable environment. Develop verification environment, including all the respective components such as stimulus, checkers, assertions, trackers, coverage and more.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own full stack initiatives from idea through production, collaborate with product, design, and hardware teams, and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Shape the architecture and quality of our Python services and the React-based interfaces built on top of them.
Design and build data collection backends, APIs, and internal tools used by research and hardware teams.
Build and maintain desktop tooling, including Electron-based applications
Set technical direction and the standards other engineers build upon.

we are looking for a FSP Clinical Research Associate I/ Clinical Research Associate II.
As part of our global team, you'll have the opportunity to perform and coordinate different aspects of the clinical monitoring and site management process. As a Clinical Research Associate I, you'll conduct remote or on-site visits to assess protocol and regulatory compliance and manage required documentation. You will manage procedures and guidelines from different sponsors and/or monitoring environments (i.e., FSO, FSP, Government, etc.). Acting as a site processes specialist, you will ensure that the trial is conducted in accordance with the approved protocol, ICH-GCP guidelines, applicable regulations, and SOPs to guarantee subjects' rights, well-being, and data reliability. You will ensure audit readiness and develop collaborative relationships with investigational sites. Detailed tasks and responsibilities assigned to your role are outlined in the task matrix.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.