לוח משרות דרושים בוגרי מדעי המחשב משרה מלאה, לחיפוש זה נמצאו 132 משרות

Your Opportunity:
Work on everything running on our OT appliance from network data collection and proprietary protocols to sophisticated logical algorithms, data manipulations, and APIs.
Own your projects end-to-end, including design, development, testing, and deployment within an Agile environment.
Integrate AI to proactively identify security threats.
Build high-performance APIs and data-intensive systems primarily using Go.
Contribute to the transformation of our core technology toward cloud- integrated architectures and advanced predictive analytics.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.

In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.

Key Responsibilities
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support.
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems.
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models.
Promote best practices in development, experimentation, and code quality.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

We have multiple positions open for Full stack Software Engineers and Senior Full stack Software Engineers to be hired across different Security teams in Israel.

As a Software Engineer you will:
Contribute to business-critical initiatives in our Security.
Use deep technical skills and the ability to quickly adapt to new areas.
Improve the end-to-end lifecycle of services.
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Work on high-end technologies and collaborating across disciplines to deliver impactful features.
Collaborate with multiple teams across us to deliver key customer solutions and support technology.

We are looking for System Software Development Engineers to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms. As part of our innovative team, you'll be working at the forefront of semiconductor technology development using leading-edge manufacturing processes. We offer a dynamic, open environment where teamwork thrives and rapid innovation is the norm. This is a unique opportunity to join our elite early-stage team, where you'll help develop disruptive system architectures that will shape the future of cloud computing. As a key member of Annapurna Labs, you'll be part of Amazon's semiconductor division, working alongside industry veterans to create groundbreaking solutions that power tomorrow's cloud infrastructure.

Key job responsibilities
- Work in a Linux-based environment.
- Build and maintain Linux images integrated with testing software solutions.
- Design and develop automation infrastructure for executing hardware tests.
- Develop and maintain our self-service applications.
- Leverage our Web Services as part of software solutions.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to deployment and maintenance.

Do you enjoy helping customers architect systems, design complex software modules, and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping software teams and companies understand application architectures and integration approaches, along with the consultative and leadership skills to launch a project on a trajectory to success? Do you have the passion to learn and experience technology hands-on? Do you enjoy working in a dynamic environment? Are you a team player?

In this role, you will practice your creativity, linking technology to tangible solutions and educating our customers about the art of the possible. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day, you will learn something new from your customers, your peers, and your own experiments.

Key job responsibilities
As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Educate customers of all sizes on the value proposition of us, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer to influence the roadmap of new features and services for the platform.
Create and capture best practices, technical content, and new reference architectures (e.g., white papers, code samples, blog posts).
Evangelize and educate about our technology (e.g., workshops, user groups, meetups, public speaking, online videos, or conferences).
Contribute to the growth of the Solutions Architecture organization by hiring, coaching, and mentoring others.
Develop areas of depth in technical domains such as: Generative AI and Data Analytics, relevant to your interests and your customers' outcomes.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. We provide a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

The Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. Were here to help them deploy scalable, secure, reliable, performant, sustainable and efficient architectures - and do that spending as little time and money as possible.

In this role, youll work directly with a variety of interesting customers in various industries which could include AI/ML, HCLS, FinTech, ClimateTech, HCLS and others, and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies, their founders, and establish yourself as a trusted advisor.

As well as spending time working directly with customers, youll also get time to sharpen the saw and keep your skills fresh. We have more than 200 services across a range of different categories and its important that we can help startups take advantages of the right ones. You will act as a customer advocate with our product teams to make sure we are building the right products and features for the startups you work with.

In addition, this role will provide plenty of opportunities to share your knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities
Help a diverse range of startups to adopt the right architecture at each part of their lifecycle.
Support startups in architecting scalable, reliable and secure solutions.
Support adoption of a broad range of our services to deliver business value and accelerate growth.
Support the evolution and roadmap of the platform and services, connecting our engineering teams with our customers for feedback.
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs.
Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.
- Mentor engineers, drive design reviews, and raise the engineering bar across the team.

Are you a Masters or PhD student interested in a 2026 Internship in Data Science? If so, we want to hear from you!

We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment and is comfortable owning data to drive step-change innovation in the EMEA region or worldwide.

As a Data Science Intern, you will have the following key job responsibilities:
Work closely with scientists and engineers to develop new algorithms to implement scientific solutions for our problems.
Design, run, and analyze A/B tests.
Work on an interdisciplinary team on customer-obsessed research.
Experience our customer-focused culture.
Create and deliver projects that can be quickly applied starting locally and scaled to EMEA/worldwide.
Create and share data with audiences of varying levels technical papers and presentations.
Define metrics and design algorithms to estimate customer satisfaction and engagement.

We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.

Come join the Agentic AI science team in building the next generation models for intelligent automation.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.