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Required Embedded SW Developer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain Perception, Navigation and Planning stack software.
Port python algorithms to high quality, safe optimal C code.
Handle memory and runtime sensitive environment.

Required Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use us to make impactful product decisions. Weve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the company`s journey by providing answers to product questions, sharing best practices, and debugging technical issues. You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues.
Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls.
Investigate and document bugs and feature requests to share with our Product and Engineering teams.
Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience.
Shape the product by regularly working closely with PMs, engineers, and designers to incorporate customer learnings into change.

We are an event analytics platform for builders who need answers from their data at their fingertips. When everyone in the organization can see - and learn from - the impact of their work, they are poised to make better decisions. As a Sales Engineer, you are critical in presenting the value of our capabilities to a broad set of prospects. As we continue to grow our Sales organization, you'll be collaborating with Account Executives, Account Managers, and the Country Manager as a trusted advisor to customers, working to tie our solutions to their business needs. Our SEs need to be nimble, able to clearly articulate the technical benefits and requirements of our to developers and product managers, and express the value of our product to high-level executives.
In the first month, you will become our expert on both features and functionality, as well as implementation. You will be given the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning how to articulate our value proposition. You will be trained on our internal systems and tools in order to be set up for success.
Within the first three months, you will be directly involved in deal cycles with Account Executives. You will lead the technical qualification for customers use cases and deliver customized demos for prospects. You will have a clear understanding of how we are implemented across all platforms and be able to guide customers toward the right solution for their needs. The SE will be critical in setting expectations for successful implementations and preparing both internal and external teams for long-term success.

Responsibilities:
Serve as a trusted technical advisor for prospects to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
Effectively communicate and consult at all levels of the customers organization to earn customers' trust and ultimately influence buying decisions.
Bridge the technical-business gap with your prospect - working with high-level business stakeholders to define success for proof of concepts and successfully execute and achieve those outcomes.
Utilize your knowledge and technical and consultative skills to impart best practices throughout proof of concept projects.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.
Partner with post-sales teams to ensure the articulated pre-sales value proposition translates into tangible post-sales value.
Complete RFPs and Security Questionnaires.
Work cross-functionally with different organizations such as Sales, Marketing, Customer Success, Product, Engineering, and Legal.
Actively utilize Salesforce to track deal activity and customer requirements.
Be the Voice of the Prospect by collecting feedback from our potential customers and delivering it to the Product team.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.
You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.
Key Responsibilities:
MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration:
Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

Our team is looking for a Deep Learning Engineer.
We are one of the few companies to have trained multi-billion parameter Large Language Models (LLMs), a feat that involves the most advanced engineering (large scale distributed training on thousands of cores). Serving these LLMs efficiently requires cutting-edge technology as well. As a deep learning engineer on the team, you will be responsible for maintaining and improving our training infrastructure, developing/scaling/testing new ideas, and adapting our code to run on and best utilize the newest and most advanced hardware accelerators.
Role and Responsibilities
Develop Large Language Models as part of our applied research projects and in support of our Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.

This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.



Responsibilities:

Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

We are looking for a talented and experienced Apple Platforms Software Engineer to join our team. In this role, you will take full ownership of a client application used by hundreds of thousands of users, working across the entire development lifecycle-from design to production.



Responsibilities

Own the end-to-end development of macOS/iOS client applications
Design and implement new features from scratch
Collaborate with DevOps to improve and maintain CI/CD and build systems
Research and adopt new technologies within the Apple ecosystem
Support the full application lifecycle, including releases and production issues
Work closely with QA, automation, product, and engineering teams

We are looking for a Senior Data Infrastructure Engineer to lead the design, build, and optimization of a modern data platform. The role involves hands-on work with cloud-based data technologies, building data lakes from scratch, and managing large-scale data pipelines while ensuring high performance, cost efficiency, and reliability. You will collaborate closely with data engineers, data science, analytics, and product teams to support business needs.



Key Responsibilities:

Design and build scalable data lakes / platforms using technologies such as Snowflake, Databricks, BigQuery, or Redshift
Develop and optimize large-scale data pipelines for batch and streaming use cases
Ensure high performance, scalability, and cost efficiency across data systems
Work with complex data workflows, AI models, transformations, and orchestration
Apply best practices in data modeling, monitoring, security, and governance

We are looking for a Senior Fullstack Engineer with deep expertise in React and Node.js to lead the architecture, performance, and quality of our fullstack systems. This is a highly hands-on role focused on building and scaling complex SaaS applications across devices and browsers, while working with modern AI-driven development tools.



Responsibilities

● Lead the architecture and development of fullstack web applications

● Build and maintain high-quality code using React and Node.js

● Optimize performance across frontend and backend systems

● Collaborate with product, design, and engineering teams

● Integrate AI-based development tools and workflows

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.