דרושים » ניהול ביניים » Experienced CPU Performance Engineer

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.

our company's Platform Group in Jerusalem is looking for an embedded SW developer who will be responsible for developing embedded SW products - Low-level drivers, Bring-ups, etc. This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting-edge technologies. We are looking for a RT embedded Software Engineer to join the development of the next phase and cutting-edge Software group. You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system.
What will your job look like?
Develop the software infrastructure for existing and new generation EyeQ chips.
Develop multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
Develop and debug of CI test content for infrastructure modules.
Performance optimizations and tuning.

we are a leading innovator in autonomous driving technology. We are looking for a highly experienced and motivated engineer to join our embedded software team, responsible for developing Real-time visualization applications and pipelines for next-generation automotive systems. This role involves hands-on development in performance-critical environments and close collaboration with hardware and system teams.
What will your job look like：
Design and implement software infrastructure components and applications in the area of automotive visualization systems.
Develop efficient, maintainable, and scalable code for performance-sensitive systems.
Work closely with system architects and hardware engineers to integrate software into complex embedded environments.
Debugging and profiling on simulation environment and on real hardware.
Ensure solution stability and health through testing and integration into CI pipelines.
Work according to ASPICE methodology and support related quality processes.

our company's Autonomous Driving & ADAS group in Jerusalem leads the way in developing innovative solutions for autonomous vehicles. Our team creates hardware-specific, optimized firmware for applications such as deep learning, computer vision, and sensor fusiondelivering real-time performance in the most advanced vehicle systems. Join us and contribute to shaping the future of mobility. Role Overview: We are looking for an enthusiastic Firmware/Embedded Software Engineer with a strong interest and coursework in computer vision and deep learning. This position offers an excellent opportunity to learn and grow by working closely with experienced engineers on the development of real-time automotive firmware targeting CPUs, DSPs, and dedicated hardware accelerators.
What will your job look like:
Design, develop, test, and optimize autonomous vehicle software components based on internal and external requirements.
Write highly optimized code for specific processors and hardware accelerators.
Leverage advanced ML/DL algorithms, computer vision, and sensor fusion techniques.
Analyze workloads, identify bottlenecks, and suggest improvements for performance enhancement.
Collaborate with algorithm developers to define and implement optimized data flows.
Integrate code into full system flows, testing on simulators and actual silicon.
Develop and utilize testing infrastructures to validate firmware performance.
Perform low-level optimizations and system analysis to ensure code efficiency in embedded automotive environments.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our companys machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our company's next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stackfrom Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads.

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.

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

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 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.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.