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We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

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.

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.

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.

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.

we bring connectivity and intelligence to everyday products and packaging; things previously disconnected from the internet of things. our platform combines cloud services and iot pixels, computing elements that can power themselves by harvesting radiofrequency energy. this revolutionary mixture of cloud and semiconductor technology is used by some of the worlds largest brands, food, and pharmaceutical companies to change how we make, distribute, sell, use, and recycle products. our investors include amazon, verizon, ntt docomo, qualcomm, pepsico, and softbank vision fund 2. join us and help pave the way for the new iot.
our TEST & product team is responsible for keeping a target of a very aggressive cost limit of the production testing (wafer sort) while performing comprehensive testing of all the units functionalities. this involves:
development of the tests using the teradyne uf tester.
development of unique and advanced TEST hw.
monitoring and analyses the production data.
fa (failure analysis) when issues are discovered.
innovative dft (design for testability) with the design team.
responsibilities:
development of wafer sort TEST programs through a close relationship with the system team.
development of the future products dft and dfm through close collaboration with the design team.
improvement of the production data analysis and reports through close relationships with the cloud and data teams.
working with the external abroad TEST houses.
decision-making based on massive data analysis (pass criteria, improvements of the tests, identification of failures).
integrate new and innovative testing methods for a new technology sector.
specify and work with external vendors for the tester hw (probe-card and load-board).
specify and work with external vendors for the htol hw, TEST program.

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm and pepsico.
we are looking for a talented and experienced engineer to take part in the verification efforts for the companys core product. this position involves building and maintaining a complex verification environment, and defining and executing a TEST plan. in this role, you will be leading all aspects of verification and will have a critical impact on the company's r&d path.

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm and pepsico.