דרושים » הנדסה » Software Engineer - AI Infrastructure for Embedded Development

we are looking for a Real-Time Embedded DSP Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our companys assets and expertise in this field. Introducing best in class Radar sensor that would complement our companys end-to-end autonomous driving solution platform
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?
Design, build and optimize software modules for production grade imaging-radar solution
Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory
Work closely with algorithms teams to convert complex MATLAB code to efficient real-time environment.
Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

we are looking for a Staff Software Engineer.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with ServiceNows AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities
Design and develop security tooling, automation, and platform services that operate at ServiceNows enterprise scale.
Contribute code directly into ServiceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage ServiceNows platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.

We're looking for a hands-on Software Developer to join our R&D team, working on the full pipeline - cameras, video processing, automated production, graphics, and backend infrastructure. If you love low-level systems, real-time challenges, and seeing your code live in actual sports arenas, this is the role for you.


As part of your role, you will:
Develop and maintain high-performance C++ systems across the video pipeline.
Work on real-time video processing, ingest/transcode pipelines, and streaming infrastructure.
Collaborate with the team on backend services written in Python and Go
Identify and resolve performance bottlenecks in multithreaded, low-latency systems.
Work closely with Product, QA, and DevOps to ship reliable, scalable features.
Leverage AI tools (primarily Claude) as part of your daily development workflow.

we are looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.

We're looking for a Senior AI Solutions Builder to join our Product team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization.

You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work.

You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth.

You Will
Design and ship AI-powered copilots, agents, and decision-support tools for the Product team, starting with Pricing

Build data pipelines and analytical models for pricing intelligence

Develop autonomous agents that automate recurring Product tasks

Automate manual workflows across product tools so the right action happens when a signal fires

Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone

Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building

Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale

Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes

A senior individual-contributor role reporting to the VP of MIS (CFO Office).




Key Responsibilities
The role spans two connected layers, and youll move fluidly between them:

The platform. Build and maintain the shared integration and automation infrastructure layer that connects our internal systems and exposes them to AI safely - reusable connectors, reliability, security, and observability.

The solutions. Build internal tools, automations, and AI agents on top of it - integrations across enterprise SaaS (Salesforce, NetSuite, Slack, Okta), and LLM-powered workflows for things like triage, provisioning, document processing, and reporting.

The right tool for the job. Low-code/iPaaS, custom code, or a hybrid - whatever delivers value fastest and stays maintainable, with responsible-AI practices throughout.

How Youll Work
Deliver MVP-first and iterate on real usage; favor pragmatic, simplicity-first solutions over over-engineering

Own what you build end to end - design through production support - with documentation others can maintain

Communicate trade-offs clearly, and quantify the value you deliver

Scope
In scope: the internal AI-integration and automation platform and everything built on it; business infrastructure for teams across Finance, HR, GTM, Security, and IT; integration reliability and observability.

Out of scope: physical IT operations (device provisioning, inventory, AV) and endpoint/office IT support.

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are disrupting data center processing with novel photonic engines solving the power and performance challenges. We are looking for an Embedded software engineer to join our dynamic team and play a key role in shaping the technological landscape of our organization. The successful candidate for this position has a track record of strength and aptitude relevant to the following areas:

we are looking for a Security Researcher.
he Applications Research Team within our elite Forensic Research Group is looking for a brilliant Researcher to drive the future of digital forensics.
In this role, you won't just look at data-you will decode the hidden digital footprints left behind by the worlds most widely used software.
Our team specializes in the deep-dive analysis, reverse engineering, and decoding of complex 3rd-party applications across mobile platforms. Your mission will be to tear down binary formats, dissect custom encryption protocols, and reconstruct application data from the ground up. If you look at an encrypted database or an undocumented binary format and see a puzzle that must be solved, this is where you belong.