דרושים » ניהול ביניים » SW Embedded Engineer for VLSI Group

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for silicon validation Tech Lead 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.

we are looking for an Embedded SW Engineer for SystemC Modeling that include Performance and Program view Modeling. You will be part of VLSI emulation team , working on current and next-generation designs for next generation sensors.
The SystemC models are fundamental parts of the VLSI chip infrastructure, they are used during HW architecture definition phase and by SW developers for system shift left.
What will your job look like:
You will work on Critical performance analysis and optimizations on the ASIC micro architecture as multi-NOC , DDR and CPU .
You will work on developing SystemC models that describe the RTL models on High level language and enable true system . level shift left for the embedded SW team.
You will have the opportunity to work on state-of-the-art simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for our companys customers around the globe and as our Validation Engineer you will be interacting with most of our companys departments, to achieve our companys goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing our company's debug systems and sensors on development vehicles internally and providing support to automotive customers.

Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for our companys customers around the globe and as our Validation Engineer you will be interacting with most of our companys departments, to achieve our companys goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing our company's debug systems and sensors on development vehicles internally and providing support to automotive customers.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our companys ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.

We are seeking a Senior Researcher to join our LTX Render Lab team at our company. This team is responsible for developing cutting-edge 3D technology to power state of the art video generation, enabling immersive and dynamic content creation. As a key member of the team, you will lead research efforts in 3D reconstruction, dynamic scene interaction, and multi-view video consistency, driving the transition from early prototypes to scalable, production-ready solutions.
What you will be doing
Conduct applied research in 3D reconstruction, scene creation, and animation.
Develop algorithms for placing characters and objects dynamically within 3D spaces.
Explore multi-view video consistency and advanced camera control for scene animation.
Optimize research code for scalability and real-time performance.
Collaborate with engineers, designers, and product managers to integrate 3D capabilities into user-facing features.
Stay up to date with cutting-edge academic research and apply relevant innovations to production.
Write high-quality code, ensuring research solutions are optimized for real-world applications.
Mentor junior researchers and contribute to knowledge-sharing initiatives within the team.