לוח משרות דרושים, לחיפוש זה נמצאו 33,974 משרות

We are looking for a highly skilled and motivated Embedded Software Team Lead to drive our development efforts from the trenches. You will lead a team of talented engineers, combining strong technical leadership with deep hands-on involvement. In this role, you will be responsible for the architecture, design, and implementation of complex embedded software, while mentoring team members and ensuring high code quality. This is a "player-coach" role for someone who loves to solve hard technical problems and thrives on developing people.
Responsibilities
Leadership & Mentoring:
Lead and mentor a team of embedded software engineers, setting day-to-day priorities and fostering a high-performance culture
Provide technical guidance, perform code reviews, and act as the go-to person for complex technical challenges
Facilitate team collaboration and ensure clear communication across the R&D organization
Foster a culture of excellence, accountability, and continuous learning
Technical Ownership (Hands-on):
Remain deeply involved in hands-on design, architecture, and coding (approx. 50% coding/design work)
Design and implement robust embedded software for real-time systems, focusing on performance, scalability, and safety
Ensure best practices in coding standards, unit testing, and CI/CD integration
Collaborate with hardware and systems engineers to ensure seamless integration between software and hardware components (SoCs, MCUs, sensors, etc.)
Execution & Delivery:
Own the delivery of specific embedded modules, from design to production
Translate product requirements into actionable technical tasks and roadmaps
Drive engineering processes to increase efficiency and code quality
Work closely with customers and Tier-1 partners on technical requirements, escalations, and delivery commitments
Stay updated with industry trends in embedded systems and automotive tech to continuously improve our stack.

Required Data Tagging Operator (Full-Time|On Site|Hourly Rate)
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:
Manually tag objects in images with high accuracy and consistency.
Review and verify the accuracy of tagged data, making corrections as needed.
Work with predefined tagging guidelines and contribute to their improvement.
Collaborate with the machine learning team to understand tagging requirements and deliver datasets that meet project specifications.

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering our AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

we are looking for students for a part-time Deploy position!

The position is part-time, in shifts that include nights and weekends.

Responsibilities
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual)

We're looking for exceptional engineers with strong back-end fundamentals and proven experience building high-scale distributed systems to join us at Hola, where we offer a unique and widely used VPN service that serves millions of users around the world with a strong focus on privacy, performance, and innovation. In this role, you will solve hard engineering problems on a large-scale visual challenge solving platform that spans orchestration services, computer-vision inference, and cloud infrastructure. You will take full ownership of critical systems, from design to production, in a fast-paced and professional agile environment.

Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

Required Senior Platform Engineer
About The Role:
As a Senior Platform Engineer, you will build the shared backend platform and AI enablement layer that every product team builds on top of, and you will be a key design partner across R&D - helping teams shape architectures for new AI-powered features, backend services, and agentic systems.
This is a force-multiplier role: instead of shipping one product feature, you raise the velocity and quality of every team. You will make key architectural decisions about how AI is integrated, how services communicate, and how engineers measure and improve what they ship - and you will coach and review designs across the org so we move fast without compromising on quality.
What You'll Do:
Lead and partner on architecture and design across R&D - running design reviews, shaping technical proposals, and helping teams choose the right patterns for AI, backend, and data-driven systems
Design and build core backend platform services and SDKs (auth, eventing, feature flags, configuration, data access) that product teams compose into AI-powered features
Build the AI enablement layer: shared LLM gateways, prompt and agent frameworks, evaluation and tracing tooling, model routing, guardrails, and cost/latency controls - so every team can adopt LLMs and agents safely and consistently
Define and own platform processes that improve engineering velocity and quality: service templates, paved-road patterns, code review standards, release workflows, and golden-path documentation
Build the observability and quality story for AI features end-to-end: structured logging, metrics, distributed tracing, LLM-call instrumentation, prompt/response evaluations, and regression detection
Research, prototype, and lead the selective adoption of new AI tooling, agent frameworks, and backend technologies into the platform.

we are looking for a motivated and detail-oriented FP&A Analyst to join our growing finance team.

Youll be part of a collaborative group of analysts, delivering key financial insights, supporting budgeting and forecasting, and helping drive strategic decisions across the company.

Responsibilities
Support the annual budgeting and financial forecasting processes.
Own and drive comprehensive, holistic analysis of company expenses, partnering with relevant stakeholders across the organization to ensure full visibility and control.
Assist with month-end close activities, ensuring accuracy and completeness of financial reports.
Provide ongoing financial support and analysis for various teams, projects, customer transactions, and strategic initiatives.
Build ad-hoc financial models, reports, and analysis as needed.
Monitor and analyze key performance indicators (KPIs), identifying trends and explaining variances.
Collaborate with the finance team and department heads to deliver data-driven insights that support decision-making.
Be proactive - identify opportunities for process improvements and bring forward your own ideas and initiatives.