דרושים » חשמל ואלקטרוניקה » Silicon Prototype Engineer

We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment. As a Wireless MAC System Architect, you will be a core member of our highly innovative and visible Wireless System-on-Chip (SoC) design team that defines modem architectures, develops MAC-layer algorithms, and invents embedded DSP algorithms for chips enabling exciting new wireless applications. You will be responsible for developing state-of-the-art wireless SoC products that are enjoyed by millions of our customers. Application areas include ultra-wideband sensing and specialized wireless audio; products enabled or improved by our teams SoCs include specialized audio headsets (such as AirPods), watches and iPhones.

In this role you will be responsible for the architecture of the Connectivity IP with focus on the MAC sub-system: - Define, document and Spec Connectivity MAC architecture and performance requirements.
- Analyze & simulate the performance of the Connectivity IP in real-life use-cases, achieving benchmarking performances in several metrics, including Throughput, Robustness, Co-existence with other Wireless IPs and more.
- Working closely with other architects (PHY, Power Management, FW and SW) to introduce best in class Connectivity IP solution.
- Develop innovative system architectures and protocols to deliver best-in-class performance for the MAC subsystem of custom wireless silicon solutions.
- Introduce cross-domain features where opportunities exist for innovation to achieve enhanced performance.
- Produce MAC architecture, specifications and corresponding performance/reference modeling in support of digital HW and FW design and verification efforts.
- Develop and maintain a MAC systems infrastructure applying the best methodologies for system-level simulation, pre-silicon prototyping (including emulation and FPGA prototyping), FW QA, regression and MTBF testing, and system verification to ensure first-time design success.
- Support the delivery of new wireless technologies to the Product Systems teams.

We are looking for a highly skilled Senior Sensor & Embedded System Testing Engineer to join our team in Herzliya.
In this role, you will help create the full data lifecycle that underpins our models: from designing what data we collect, through curation and quality monitoring, to running rigorous experiments that drive model improvements. You will work closely with other ML and Data Engineering teams to ensure our models are trained on the best possible data, reaching the best accuracy, and that we deeply understand when and why they don't perform as expected.

The selected candidate will assume responsibility for the configuration of advanced camera and laser sensor systems, and for the rigorous validation of their functionality at the embedded level. This role encompasses interface verification, timing analysis, performance characterization, firmware integration support, and direct collaboration with research and physics evaluation programs.

Responsibilities
Lead the configuration and bring-up of camera and laser sensor subsystems within embedded platforms.
Define, develop, and execute comprehensive system-level validation and definition testing strategies.
Characterize sensor performance across optical, electrical, and timing domains.
Validate sensor interfaces (MIPI CSI-2, SPI, I²C, LVDS) and ensure compliance with system specifications.
Support firmware integration activities, ensuring robust sensor operation within the full system stack.
Design and maintain automated test infrastructure for sensor validation and regression testing.
Collaborate closely with physics, optics, and research teams to support experimental evaluation campaigns.
Perform root-cause analysis of issues spanning hardware, firmware, optics, and sensor subsystems.

As a key member of our team, you will be responsible for the selection, development, and seamless integration of FPGAs that implement critical functionality on our prototypes. Your work will span a wide range of applications, from crafting low-level hardware control and status for embedded systems and high-speed links, to integrating high-level IP blocks and developing custom hardware-accelerated algorithms and filters. You will leverage your strong foundation in digital design and communications, working with micro-controllers, microprocessors (ARM), and various peripheral interfaces (I2C, SPI, high-speed serial interfaces), and industry-standard protocols (PCI Express, USB, Ethernet). This role requires significant hands-on experience with board bring-up and debug of complex digital hardware.

As an Embedded Software and Prototyping Engineer working on visionOS platforms, you will be responsible for designing, prototyping, and developing real-time software across the visionOS stack.

Responsibilities
Define, design and develop software solutions for our AR/VR technology.
Work cross-functionally with multiple teams, drive requirements, and deliver end-to-end solutions.
Understand the end customer use-cases, and design and develop software solutions tailored to those experiences.
Develop early prototyping software solutions in simulation/emulation environment.
Deliver shipping quality software solutions.
Identify and implement efficient system-level solutions across HW and SW to meet the product's performance goals within the power constraints.
Debug hard to reproduce issues and propose solutions with minimum impact to user experience.

In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.

We are seeking a highly skilled and motivated real-time embedded Engineer to join our firmware team.

In this role, you will be responsible for implementing cutting-edge technology for our next-generation products. You will be a key contributor to the entire product development lifecycle, from concept to deployment, ensuring that our products are intelligent, efficient, and provide a seamless user experience.

Responsibilities
Implement, deploy and optimize real-time state machines, operate various sensors streams (e.g., audio, vision, motion, etc.) on resource-constrained embedded platforms.
Design, develop, and maintain real-time firmware for embedded systems.
Optimize code for performance, memory usage, and power consumption.
Develop and execute comprehensive testing strategies for embedded systems.
Develop and maintain firmware in C/C++ for embedded systems.
Work with cross-functional teams including software, hardware, and systems engineers.
Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
Stay up-to-date with the latest advancements in embedded systems.

Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.
You will bridge the gap between research, data science, and engineering, owning the full ML lifecycle from large-scale data pipelines and distributed GPU training through to low-latency, high-fidelity inference and optimization. You'll partner closely with Audio ML Engineers, Speech ML Engineers, and ML Data Scientists to remove friction across their workflows and accelerate the path from research to product.

The MLOps Engineer will drive end-to-end quality and operational excellence across data ingestion, model training, deployment pipelines, and MLOps tooling for our speech and audio ML platforms. This hire will build, deploy, and optimize production-grade systems with a strong emphasis on scalable, GPU-accelerated infrastructure. You will own the training infrastructure that powers distributed and self-supervised model training on HPC and Slurm-managed clusters, as well as the inference pipelines that bring low-latency, high-fidelity audio and speech models to production. You will establish standard methodologies for model integration, deployment, monitoring, and reproducibility using CI/CD principles.

Responsibilities
Design, build, and operate large-scale data pipelines for proprietary audio and speech datasets - supporting curation, quality monitoring, and validation at scale alongside our ML Data Science team.
Partner closely with Audio ML Engineers, Speech ML Engineers, ML Data Scientists, and product teams to define metrics, gather requirements, and bring new capabilities to life.
Build and operate distributed GPU training workflows, including job scheduling and resource management on Slurm-managed HPC clusters, for both supervised and self-supervised methods.
Optimize model inference for low latency and high-fidelity streaming across serving environments, including optimization for Apple silicon.
Design and maintain automated pipelines for model training, evaluation, versioning, and deployment, with special attention to speech, audio, and signal-processing workflows.
Identify and resolve bottlenecks in ML and data workflows, improving system reliability, latency, and throughput at scale.

A leading supplier of custom SOC and security hardware solutions for the computing and server markets. As a well-established and independent design center, we collaborate closely with top-tier customers such as HP, Dell, Qualcomm, Microsoft, and Google to develop advanced solutions that secure, control, and manage our customers platforms. We are seeking a talented and experienced Chip Architect to join our team. The ideal candidate is a self-motivated, fast learner with a strong background in hardware and system architecture. This role requires a technology leader capable of driving multidisciplinary programs and working closely with customers and internal teams across the entire product lifecycle.
Responsibilities:
* Translate customer and marketing requirements into detailed SOC architectural specifications
* Provide functional specifications for chip hardware design and Embedded software development
* Lead architectural decisions and serve as a technical authority across cross-functional teams
* Collaborate with customers and marketing to refine product requirements and align on technical solutions
* Support design, implementation, and verification processes throughout development
* Participate in system debugging, root-cause analysis, and issue resolution
* Support post-silicon bring-up, system integration, and software enablement

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Roles and Responsibilities:
Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products.
Drive performance optimization, and efficient memory management.
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues.
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction.
Explore and implement new methodologies fostering continuous improvement and innovation.
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions.
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team.
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability.
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture.
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset.
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains.
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices.