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our company 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.

our company's Autonomous Driving Software Group in looking for an experienced Linux Kernel & Security Developer to design and implement secure embedded software solutions.
This is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies
What will your job look like?
You will research, design, and implement Linux kernel drivers and OS features, ensuring compliance with security best practices.
Maintain and enhance existing kernel components while mitigating potential vulnerabilities.
Integrate embedded software solutions in our company's automotive platforms, including HW bring-up, debugging, and unit testing.
Conduct threat modeling, penetration testing, and vulnerability assessments for Linux-based embedded systems.
Optimize memory management, I/O, networking, and storage security within the Linux kernel.

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for talented silicon validation engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our company's radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like:
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

our company's Logging team is developing Logging solutions, driving the data collection to allow advanced simulations to train and test our company AI engines. We are looking for experienced SW automation engineer to extend our integration team capabilities. In this position, you will join our integration and test team that supports our companys cutting-edge Logging solution.
What will your job look like?
Responsible for the development and maintenance of test content and automation tools for the autonomous vehicle Logging systems and E2E flows
Support integration and stabilization of CI environment and tests in the CI
Work closely with other development, CI and integration teams
Develop, document, and maintain the test strategy and test scenarios
Bring-up of new systems
First line support for internal and external customers
Lead Debug and Solve complex SW issues.

Which department will you join?
The Cloud team of the Development Infrastructure (DI) department is responsible for our company's Cloud infrastructure on AWS and Google Cloud. We develop mainly in Python, and some Golang. We are developing highly efficient systems for the company, running on up to 500K CPUs, processing hundreds of Petabytes of data monthly collected from all over the world. We also provide networking, security, governance, support, and guidance for all of our company's diverse uses of AWS across tens of AWS accounts, including ML Training and AWS China. 
What will your job look like?
Analyze, optimize, and implement cost optimization actions over different cloud services
Implement and manage automated tools to help identify cost trends and anomalies
Create financial and usage dashboards
Work with our technical teams to design and implement new services in the most cost-efficient way
Work with the financial teams on budget, forecast, and expenses reports
Work closely with our finance and legal departments to negotiate cost terms and contracts.

The HW System Architecture Team is a small team, whose goal is to support the development of next-generation systems for our companys self-driving car and advanced driver-assistance systems. We apply multiple disciplines to develop these solutions that serve our customers and our companys R&D
What will your job look like?
Wire Harness Engineer you will participate in the definition and implementation of our company autonomous vehicle platform.
Design/Distribute of Hi-speed cables.
Design/Definitions of lab, farm and vehicle harnesses.
Ensure that the vehicle wire harnesses are connecting all the devices in a reliable and producible manner, in consideration of manufacturability and serviceability.
Design/Optimization of power distribution.
Creation/Maintenance of harness documentation.
Interface with suppliers and act as a technical point of contact.
Work with engineering to develop assembly and install instructions.
Ensure BOM accuracy, release drawings for manufacturing.
You will be as part of System Architecture team and should be comfortable with a high degree of ambiguity.

The Road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision, and Geometric Modeling algorithms.
We are looking for an MLOps Software developer to help us design and implement our large-scale platform using the most up-to-date technologies.
What will your job look like:
Collaborate with algorithm developers to research, develop, and deploy machine learning models at a large scale.
Leverage our company's data sources and cloud computing to build an infrastructure that process terabytes of data to improve our machine learning models.
Perform software research, development, evaluation, and optimization.
Design and implement large scale systems.

we are at the forefront of developing autonomous driving systems. our company's state-of-the-art ECUs are integrated into vehicles from leading OEMs and enable its leading autonomous driving solutions.
Are you passionate about designing cutting-edge solutions for complex, high-impact challenges? Do you have an eye for detail and a knack for seeing the bigger picture? At our company, our Platform Architecture team plays a pivotal role in seamlessly shaping system architecture into high-performance systems that drive the future of autonomous driving.
By joining us, youll collaborate with top engineers to develop innovative systems that not only shape the evolution of our industry-leading products, but also contribute to advancing the future of mobility. As part of our mission, youll play a key role in making the world a safer place through autonomous driving technology.
What will your job look like?
Define System Architecture: Develop system requirements and architecture that align with customer needs and our company's software and hardware products.
Design and define: system architectures and flows for critical functions, including boot processes, power-on sequences, system health monitoring, and diagnostics, ensuring robust and reliable platform performance.
Engage with customers: analyze and understand customer requirements and maximize alignment with existing solutions.
Collaborate with Product Managers: Ensure requirements are in sync with system architecture and that both software and hardware developments meet system-level objectives.
Work closely with Project Managers: Define, map dependencies, and prioritize the scope of customer releases.
Innovate with Sensing, Driving and Fusion teams: to optimize overall system performance.

our company's AV Group is looking for an Automation and Verification Team Lead to drive the development and validation of cutting-edge Autonomous Vehicle (AV) technologies. This role involves leading a team of skilled engineers in designing, implementing, and optimizing advanced validation frameworks for our companys L2+ to L4 autonomous platforms.
As a Team Leader, you will play a critical role in shaping the verification and automation strategies, fostering technical excellence, and mentoring team members to ensure high-quality AV software solutions. You will collaborate with cross-functional teams, including software architects, product managers, and simulation experts, to ensure our autonomous systems meet industry-leading safety and performance standards.
What will your job look like:
Lead and mentor a team of automation and verification engineers, fostering a culture of technical excellence and innovation
Define and implement robust verification methodologies to ensure the reliability and safety of our companys AV software and control systems
Oversee the development of automated testing frameworks and simulation environments to enhance verification efficiency
Work closely with software development, product, and system teams to align verification efforts with product goals
Ensure adherence to industry standards (A-SPICE) and best practices in validation and verification
Continuously improve validation workflows, automation processes, and CI/CD pipelines to increase efficiency
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