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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 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 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 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.

we are at the forefront of developing autonomous driving systems with leading OEMs, by integrating our company state-of-the-art ECUs into various vehicles.
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.

Join our company's REM (Road Experience Management) department - the team driving the automatic creation of High-Definition maps, a cornerstone technology behind our company's autonomous driving and advanced driver-assistance systems.
REM map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise.
You will be part of our Priority Semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
The team uses cutting-edge technologies, including Graph Neural Networks (GNNs) and data-driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
This role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
What will your job look like?
Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
Perform high-scale, large-volume data analysis
Integrate new map-based algorithms with full ownership
Develop tools that enable fast and effective data introspection
Optimize models and results where needed.

As a member of our fast-paced group, youll have the unique and rewarding opportunity to shape the future. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills.

This role will have the following responsibilities:
Developing and integrating AI systems (e.g RAG, agents) into deliverable products.
Developing and evaluating domain specific Large Language Models for various tasks and applications.
Understanding product requirements, translating them into modeling tasks and engineering tasks.
Collaborating with Hardware and Software teams across us.
Translating theoretical ideas into tangible innovations.