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We are seeking a hands-on Director of Embedded Systems to lead the strategy, execution, and customer engagement for our embedded platforms in advanced automotive perception. Reporting directly to the VP R&D, you will manage the Embedded Software Team Lead (5 engineers) and the Software Architect, while also engaging closely with Tier-1/OEM customers and silicon vendors.
This role combines deep technical ownership, strong leadership, and customer-facing responsibilities in a fast-paced startup environment.
Responsibilities
Leadership & Team Growth
Lead the Embedded Software Team Lead and Software Architect, ensuring alignment between architecture, implementation, and delivery.
Set priorities, allocate resources, and oversee execution across embedded software development.
Act as the escalation point for complex technical or organizational challenges.
Build a high-performance, accountable, and collaborative culture.
Prepare for future team growth as the company scales.
Technical Ownership
Remain hands-on with design reviews, architecture decisions, and technical discussions.
Own the end-to-end embedded software vision for perception systems, balancing scalability, real-time performance, and safety.
Oversee architecture across heterogeneous compute platforms (CPUs, GPUs, NPUs, MCUs).
Ensure best practices in coding, reviews, testing, and integration in real-time, safety-critical environments.
Coordinate with 3rd-party partners on middleware, BSP, OS abstraction, and low-level drivers, with the ability to read and challenge design documentation.
Customer & Partner Engagement
Spend ~50% of your time outbound: lead technical discussions with Tier-1/OEM customers, support escalations, and represent embedded systems in workshops.
Manage relationships with silicon vendors (e.g., TI, NVIDIA, Qualcomm, Renesas), staying aligned with their roadmaps.
Ensure embedded deliverables are integrated smoothly with broader system needs in perception, hardware, and validation.
Standards & Compliance
Own compliance with ASPICE, AUTOSAR, ISO 26262 (Functional Safety), and ISO/SAE 21434 (Cybersecurity).
Lead audits, reviews, DFMEA/DFA processes, and quality gates.
Define and enforce engineering processes and metrics across the embedded team.
Innovation & Roadmap
Track industry trends in embedded systems, AI acceleration, and automotive perception.
Shape the long-term roadmap for embedded platforms in collaboration with executives.
Evaluate and adopt new tools, frameworks, and hardware accelerators to enhance performance and safety.

Our Autonomous Driving Software Group in looking for an experienced Linux Kernel & Security Developer to design and implement secure embedded software solutions.
This is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies
What will your job look like?
You will research, design, and implement Linux kernel drivers and OS features, ensuring compliance with security best practices.
Maintain and enhance existing kernel components while mitigating potential vulnerabilities.
Integrate embedded software solutions in our automotive platforms, including HW bring-up, debugging, and unit testing.
Conduct threat modeling, penetration testing, and vulnerability assessments for Linux-based embedded systems.
Optimize memory management, I/O, networking, and storage security within the Linux kernel.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

We're looking for an Experienced CAD or Design Automation Engineer to develop our RF/Analog design tools/flows and automation flows for the next-generation Imaging Radar chips.
What will your job look like:
Build and support RF/analog design environments
Implement, develop, and maintain design flows, tools and scripts.
Evaluate and explore new automation technologies and advocate for efficiency improvements
Evaluate multiple vendor solutions and guide execution, in the most optimal use, based on design needs
Effectively communicate and support a large number of designers, providing high-quality tools and flows, documentation, and presentations.

Senior Simulation Engineer L4 Group
our company, your number one vendor of autonomous driving software, is looking for a die-hard Simulation Engineer ready to take on a Manhattan-scale project under a tight schedule. If you're passionate about high-impact simulation infrastructure and thrive in fast-paced, innovative environments, we want to talk to you.
Responsibilities
Design and build scalable simulation infrastructure for testing autonomous driving systems
Collaborate closely with algorithm teams to create realistic and efficient simulation environments
Lead architectural decisions and own the design of core components
Tackle complex backend and cloud-native challenges from day one
Implement a CI/CD infrastructure to support slick and efficient versioning of all stack submodules from different AB teams
Integrate an external closed-loops simulation solution with our autonomous driving stack, work closely with external vendors.
Coordinate between Algo SW and Infra teams to provide fast scalable and consistent solutions.

We are seeking an Experienced Backend to join our growing Physical Design team. In this role, you will play a key part in the design of state-of-the-art SoCs, from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner from RTL to GDS.
Floorplan exploration with guidance and collaboration with front-end and architecture teams.
STA: work with FE and floor planner to manage block and top level constraints and 1st level of timing analysis.
Synthesis exploration and final synthesis netlist: Scan insertion @ synthesis, clean checks from Lint, UPF & Spyglass.
Place & Route: from Synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.
Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification.

Our Autonomous Driving software group in Haifa is looking for a Linux kernel developer who will be responsible for developing embedded SW products.
This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
What will your job look like?
Researching, designing, and implementing new SW drivers and Operating System features, as well as, maintaining, and enhancing existing ones.
You will also be responsible for integrating the SW solutions in our Embedded automotive platforms including the necessary HW bring-up, debug and unit testing to achieve proper operation of the new SW and HW together.

we are a global sports tech hub, serving tens of millions of users with Real-Time results, stats, news, and content across all major sports. We combine deep tech, live data, and massive scale to deliver one of the most engaging sports experiences in the world. Ready to dive into a dynamic role where you'll be an integral part of a collaborative team? As a Senior FullStack Developer at our company, you'll be at the forefront of crafting innovative solutions and contributing to the continuous improvement of our platform.
Responsibilities:

* Engage closely with Product, Client, DevOps and other R&D teams to deliver exceptional solutions.
* Work within an agile environment alongside a team of engineers to meet business objectives efficiently.
* Play a key role in designing, architecting, and developing robust solutions while ensuring code quality and seamless deployment.
* Develop and maintain APIs and Services to support millions of active users, ensuring optimal performance and scalability.
* Identify technical debt and areas that require attention or improvement at the architecture level.
* Grow technical knowledge by researching the latest development methods and techniques, sharing that information with your team

Our customers are first-class, and with your expertise, we can continue to exceed their expectations and create success stories that inspire. If youre ready to build something extraordinary and take your career to the next level, our company is the place for you. Lets achieve remarkable growth together and make a significant impact in the SaaS industry!

What You'll Do:

- Take full ownership of end-to-end development of key features in identity and access management.

- Work with cutting-edge AI to enhance development and security workflows.

- Drive technical excellence and help shape the architecture of our platform.

- Collaborate with a small but strong team of 4 developers and a team lead, contributing your expertise and leadership to raise the technical bar.

- Optimize and scale authentication and authorization systems with OAuth, JWT, SAML, WebAuthn, and more.

- Build and optimize services using NestJS (Node.js), TypeScript, and AWS.

- Take ownership of complex challenges, working both independently and within the team.

Because we are looking for an experienced and highly skilled Product Manager with expertise in the identity and / or security domain to join our team. As a Product Manager, you will play a crucial role in shaping and driving the strategy of our user management platform for modern B2B apps. You will work closely with cross-functional teams, including engineering, design, marketing, customer success, and sales, to ensure that our continues to deliver a rock-solid solution that exceeds industry standards.

Responsibilities:

Stay up-to-date with the latest authentication, authorization and security trends and best practices, to ensure our company remains at the forefront in this domain.
Own the definition and delivery of new capabilities end-to-end from ideation and design to successful launch and market adoption.
Collaborate with engineering and design teams to ensure timely and high-quality product delivery.
Work closely with customers, and internal stakeholders to understand the need and use cases of each new product capability & analyze the competitive landscape around this capability.
Define and prioritize product features and enhancements based on customer feedback and business impact.
Define metrics and follow up on the capability into the market to understand and improve market adoption.

You'll work directly under the Head of Engineering, fully autonomous - delivering high-impact backend and infrastructure features that shape our platform's future.

This role demands technical depth, ownership, and the drive to take on tough, often invisible engineering problems that others shy away from - the kind that make everything else possible.

What You'll Do

Take full ownership of complex backend systems - from architecture to production deployment.

Design and implement distributed systems using Node.js, Kafka, Redis, SQL, and MongoDB.

Build and maintain infrastructure components with Kubernetes (EKS), AWS, and CI/CD pipelines.

Work directly with the Head of Engineering to define technical direction, priorities, and execution plans.

Integrate AI models and tools into backend systems (experience with AWS Bedrock or similar is a plus).

Ensure high availability, scalability, and performance in real-world production environments.

Tackle hard, critical engineering challenges - the kind that aren't flashy, but keep the product running smoothly.

We are looking for a top-notch Senior Software Engineer to help us tackle the toughest challenge in cybersecurity: turning endless amounts of data into crisp, easy, and actionable insights.

Responsibilities
Collaborate with a senior Agile Scrum team to design, develop, and maintain large-scale, cloud-based data processing pipelines and backend components. Work with cutting-edge technologies including Spark, Kubernetes, AWS, and modern data lakes like Databricks and Snowflake.
Design and implement scalable, cost-effective solutions that deliver high performance and are easy to maintain. Tackle complex, high-scale problems and drive performance optimization and cost-efficiency across the data pipeline.
Partner with engineers across our company R&D and Product teams to enhance our platform and provide capabilities for internal and external users to build data transformations and detection pipelines at scale.
Build robust monitoring and observability solutions to ensure full visibility across all stages of data processing.
Stay current with trends in big data processing and distributed computing. Contribute to code quality through regular reviews and adherence to best practices.

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional senior engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design and verification activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities:
- Development of DFQR and DFT methodologies and BKMs.
- DFQR and DFT activities during the product design stage.
- Product quality & reliability validation (QRV) and ongoing quality & reliability monitoring (OQRM).
- Q&R engineering of volume manufacturing:
- yield monitoring, SPC;
- DOE, analysis, risk assessment and disposition of non-conformance events/non-conforming material.
- RMAs: failure analysis, disposition, reporting and follow-up (CAP and implementation).