דרושים » הנדסה » Semiconductor Quality and Reliability Engineer

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products. Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements.

we are looking for a Embedded SW Engineer for Performance Modeling. You will be part of EyeQ SoC Performance Modeling and Profiling team in EyeQ Platform Group (EPG), working on current and next-generation designs for ADAS/AV. Performance models and profiling tools are fundamental parts of the EPG infrastructure, they are used during EyeQ HW architecture definition phase and by SW developers for performance optimizations.
What will your job look like:
You will work on CPU functional and timing models of our company's SoC platforms.
You will work on developing tracing and profiling tools for CPU performance analysis and optimizations.
You will run HW benchmarks to test HW performance and calibrate the simulation performance with the silicon board.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/OS/Algorithms developers.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future our company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

The company's EyeC VLSI team designs cutting-edge chips for RADAR systems used in ADAS and autonomous vehicles and is looking for an experienced DFT Engineer. This is a unique opportunity to join a team of top-tier engineers working with the most advanced technologies to develop Autonomous Vehicle (AV) SoCs. Every engineer in our team plays a broad and diverse role, taking on significant responsibilities, being involved in critical development stages, and making a direct impact on the success of our projects.
What will your job look like:
You'll be responsible for the architecture of DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more)
Develop all the necessary RTL for the different modules
Verify and Validate your design in GLS
Develop ATPG patterns to the highest requirements of Functional Safety (ISO26262).
Debug and analyze coverage and yield loss
Support production activities and Si debug.

our company's EyeC VLSI team - a group designing the chips for RADAR systems for ADAS and autonomous cars. Our Physical Design group is working in a Startup like environment with respect to technical expertise, execution & responsibility . Each Physical Design engineer has an end to end responsibility from definition, execution & full signoffs, working closely with design & architecture teams for constraints development, design review & RTL modifications to achieve converges Were looking for a Experienced Physical Design Engineer to join the growing Physical Design Team, responsible for developing our next generation Imagining Radar SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS with horizontal ownership.
Floorplan exploration and collaboration with front-end and architecture teams.
Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.

we are seeking talented Algorithm Developers for a range of positions focused on shaping the future of autonomous driving and advanced driver-assistance systems. You will develop and optimize cutting-edge computer vision and mapping algorithms that help vehicles perceive their surroundings, detect drivable lanes, and create high-definition maps from large-scale, crowd-sourced data. This work requires creativity, strong algorithmic thinking, and software engineering skills to deliver real-time solutions on dedicated hardware. Join us in making roads safer and driving smarter for everyone.
What will your job look like:
The role combines algorithm development with hands-on software implementation.
The algorithmic development is done in Python and C++, and tasks often require solid foundations in mathematics and geometry.
We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
You will take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.