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our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

We are seeking an experienced Full-stack Team Leader to lead a high-performing squad within our engine engineering group. In this role, you will be overseeing the development of core platform capabilities. You will be responsible for the professional growth of your developers, the architectural integrity of your teams output, and the successful delivery of complex features across both client-side and server-side systems in a fast-moving environment.

What Will You Do:
Lead, coach, and mentor a team of full-stack engineers, fostering a culture of technical excellence and continuous improvement.
Oversee the design and implementation of complex features spanning engine logic and backend services, ensuring the team writes robust, scalable, and maintainable code.
Own the end-to-end delivery of features across multiple services; break down high-level product initiatives into clear tasks, manage dependencies, and provide accurate timelines.
Lead architectural decisions and service design, clearly articulating trade-offs and ensuring modules are scalable and align with long-term platform goals.
Act as the escalation point for complex production incidents.
Enforce high standards for testing and monitoring.
Partner closely with Product, QA, and other Engineering Leads to unblock delivery, align on priorities, and ensure shared ownership of the product roadmap.
Strong expertise in the teams core stack (Node.js, Relational/NoSQL databases) with the ability to jump into the code and execute complex implementations when necessary.
Proven ability to design scalable modules and services within a distributed domain context.
Proactively identifies and implements improvements to team processes, deployment strategies, and development tooling.
Ability to lead the team through technical pivots and independently learn/adopt new technologies as the stack evolves.

our company's Imaging Radar group develops innovative high-performance Imaging Radar solutions for ADAS and Autonomous Driving markets. We are looking for a Software Architect to join the development of state-of-the-art products in mmW frequencies.
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like:
Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
Hands-on resolution of complex issues
Resolve issues raised during implementation stages or feedback from customers.
Develop & communicate high-level designs and technical specifications
Define responsibilities of system components and interfaces
Identify risks and propose solutions in system designs
Define aspects of development; appropriate technology, workflow and standards
Evaluate existing system designs and propose improvements
Collaborate with other architects
Foster innovation through research, recommending the use of new technologies, processes or standards
Prepare, lead and participate in design reviews
Take part in all phases of the software development cycle.

we arelooking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

Were looking for a Senior Product Manager to lead our core engine - the technological backbone powering all of our products, while also owning and evolving our flagship product experience.

This is a unique, high-impact role at the center of the company: youll drive the performance and innovation of the engine itself, while ensuring our core product remains competitive, user-centric, and market-leading.

Youll operate across infrastructure, user experience, data, and AI, balancing engine performance with classic product leadership.

What Youll Do:
Own the core engine (primary focus): Define the vision, strategy, and roadmap for the infrastructure that powers all products.
Define success through metrics: Establish and optimize key performance indicators for the engine (e.g., accuracy, performance, scalability, coverage).
Drive innovation: Continuously explore new technologies, leveraging AI to improve engine capabilities and efficiency.
Work closely with engineering: Partner deeply with frontend and backend teams to translate product goals into scalable, high-quality systems.
Lead the core product: Own the end-to-end product experience built on top of the engine.
Stay close to customers: Gather and synthesize customer feedback to inform product decisions and prioritization.
Drive competitive edge: Conduct market and competitor analysis to ensure the product remains best-in-class.
Own the product lifecycle: From ideation through delivery, iteration, and growth.

we are looking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.

Were looking for a Senior Product Designer who lives at the intersection of product thinking, design leadership, and AI. Someone who is excited not only about designing AI-powered products, but also about using AI to rethink how design teams work, move, and create.

Youll be shaping new processes, and working in an environment where AI is deeply embedded across product, design, and development.

Why this role is different:

Youll work in an AI-first environment, where tools like ChatGPT, Claude, Gemini, Weavy, Cursor, Figma Make, MagicPatterns, and others are part of the daily workflow.

Youll collaborate with engineering teams that actively use vibe coding and advanced AI development environments.

Youll be part of a unique design structure where Product Design, Brand, and Motion are unified under one leadership - enabling you to create not just functional products, but truly polished, high-quality experiences through videos, animations, elite brand design and more.

Youll design and lead the creation of GenAI-based features and products that impact millions of users.

If youre looking to lead design in a place where AI is real, not theoretical - this is it.

Your role: leading AI-powered, human-centered design.

Be part of a team of Product Designers setting a high bar for craft, thinking, and execution.

Own and evolve design processes in a fast-moving, AI-driven environment.

Drive the design of AI-powered features and end-to-end product experiences.

Work closely with Product, Engineering, and Data/ML teams to translate complex AI capabilities into simple, intuitive experiences.

Integrate AI tools into the teams daily workflow - from ideation and research to execution and optimization.

Shape how design and development collaborate in AI-based environments, including working alongside teams using modern coding paradigms (e.g. vibe coding).

Partner with Brand and Motion teams to elevate the quality, consistency, and emotional impact of the product.

Use data and behavioral insights (e.g. Mixpanel, FullStory) to inform decisions and continuously improve UX.

Build and evolve a scalable design system that supports both speed and quality.

Lead design culture initiatives - critiques, workshops, and explorations that push the team forward.

We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.
You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.

we are looking for a Software Engineering Manager (SRE Team).
In this role, you will be responsible for:
Lead a distributed team of 3 SRE engineers as a part of Global SRE group and report to the Director of SRE &DBOps.
Drive incident response and post-mortem processes, fostering a culture of continuous improvement.
Design, build and improve internal tools and automation software to make maintaining production services easier and safer.
Lead reliability-focused practices such as SLO (Service Level Objective) design and implementation, Failure Analysis, Load and Capacity Planning, Service Reviews, Architecture Designs, Incident Postmortems, and others.
Participate in the on-call rotation, providing expertise and support during critical system incidents and ensuring timely resolution.
Ensure high technical standards and overcome various technological challenges.
Be accountable for the team's output, empowering and coaching team members, setting goals, and ensuring engagement.
Embrace values of independence, natural curiosity, ownership, and continuous improvement.

We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

We are seeking a talented Computer Vision / ML Researcher to develop diffusion-based generative models for video restoration in new imaging systems. The role will focus on large, high-quality models that restore degraded video while preserving fidelity, detail, motion, and temporal consistency. You will be part of an interdisciplinary team developing technologies that will shape our future products.
Deep hands-on experience with diffusion models is required. The ideal candidate has worked on diffusion-based image or video models and has a strong research track record, ideally including publications on diffusion, generative vision, video models, restoration, or inverse problems.

Deep learning development: Design, train, evaluate, and optimize deep learning models for video restoration tasks such as denoising, deblurring, artifact removal, super-resolution, detail recovery, and temporal stabilization. Work with large-scale video datasets, synthetic and real degradations, and rigorous evaluation pipelines.
Research: Develop and adapt diffusion models for video restoration, including video diffusion, DiT-style architectures, latent diffusion, conditional diffusion, diffusion for inverse problems, and efficient sampling. Analyze results, compare against leading methods, and investigate approaches for fidelity preservation, hallucination control, temporal consistency, distillation, and production-quality inference.
Collaboration: Work closely with ML researchers, engineers, and cross-functional teams to translate research ideas into robust models and practical systems.