דרושים » תוכנה » SoC Performance Modeling Engineer

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.

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.

You will be part of our company's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our company's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

You will be part of the company's Autonomous Vehicle projects which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. The Product Validation department is developing a modular CI process to support a complex variety of car models. We are precepting the complex system as a whole and are the first point of contact between the software to the hardware. As an infrastructure developer, you will be interacting with the team members as well as with most of our company's departments, to develop state-of-the-art software infrastructure based on a thorough understanding of product behavior.
What your job will look like?
Be a part of the automation and CI infrastructure team.
Develop a software infrastructure to allow the development of automated tests for the autonomous vehicle lab.
Work on a variety of aspects of the autonomous vehicle.
Work in a multi-tasked, dynamic, and diversified environment.
Have responsibility and impact over the autonomous vehicle.
Work closely with other development and validation team members.
Improve and maintain the CI/CD infrastructure.

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.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build, lead, and mentor a team of backend engineers, fostering professional growth and collaboration while putting a strong emphasis on engineering excellence.
Evolve our architecture and infrastructure to support the growing scale of users, features, and data.
Build strategic relationships with key stakeholders across the company, and develop a deep understanding of the business vision to ensure the data platform continues to meet evolving needs while maintaining technical excellence.
Define and monitor metrics and KPIs to measure the health, performance, and impact of our data systems, continuously optimizing for scalability, reliability, and efficiency.
Have full responsibility for data compliance in the organization and lead the design and implementation of data compliance and privacy processes.

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.

We are
We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
We are seeking a skilled and proactive ServiceNow Administrator to manage and maintain our ServiceNow platform. In this role, you will be responsible for the day-to-day administration, configuration, and support of ServiceNow to ensure the platform runs smoothly, securely, and effectively supports ITSM and other business workflows.
Who You Are:
We're looking for a Problem-Solving Enthusiast who thrives on finding solutions to complex technical challenges and approaches each issue with curiosity and determination. As a Process-Driven Organizer, you naturally create structure, documentation, and best practices that help maintain system integrity. Your identity as a Customer-Focused Team Player means you understand that behind every ticket is a person needing assistance, and you're committed to delivering exceptional service while supporting broader team goals. These qualities make you an ideal candidate who can both manage the technical aspects of ServiceNow administration while maintaining the human connection that drives successful IT service management.
What Youll Actually Be Doing:

* Administer and support core ServiceNow modules: Incident, Problem, Change, Request, CMDB, Knowledge, and others as implemented.
* Configure and maintain forms, fields, views, workflows, UI policies, business rules, client scripts, catalog items, and reports.
* Manage user access, roles, and group assignments across the platform.
* Monitor platform health and performance; troubleshoot issues and ensure timely resolution.
* Perform regular platform upgrades and patching activities, ensuring minimal disruption.
* Assist with data imports, including Transform Maps, data Sources, and Load scripts.
* Collaborate with developers, stakeholders, and process owners to translate business requirements into effective ServiceNow solutions.
* Maintain platform security and compliance in alignment with company policies.
* Support integrations with other enterprise tools (e.g., Active Directory, SCCM, Jira, Azure).
* Document changes, configurations, procedures, and best practices.
* Participate in incident response and change management processes related to ServiceNow updates.
Why Youll Love Working Here:
Youll help secure some of the most innovative products in fintech and crypto - while collaborating with brilliant, supportive teammates who care deeply about doing things the right way. Our security culture is proactive, collaborative, and continuously improving. Youll have the autonomy to lead impactful initiatives, influence design from day one, and grow alongside a team thats invested in modern tooling and professional development.
Next Step:
Hit Apply. Bring your ServiceNow abilities. Well bring the challenge - and the snacks.

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.

The Core Generative AI team at our company Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.