לוח משרות דרושים בוגרי מדעי המחשב, לחיפוש זה נמצאו 119 משרות

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
We are looking for a junior C# software developer to join our dynamic and unique core technology ATE SW team. SolarEdge's ATE (Automatic Test Equipment) group is at the forefront of developing high-volume production line hardware-based testers for end-of-line product assembly. Our testers are developed in-house, encompassing hardware, mechanics, and software, ensuring top-notch quality and performance. This is an exciting opportunity to contribute to SolarEdge's productivity and innovation!
?What You'll Do
* Responsible for the entire development process, from gathering requirements to implementation, including post-release support.
* Develop, test, and maintain C# .NET applications using .NET Framework, .NET Core, and ASP.NET.
* Work closely with the Hardware team on joint projects.
* Develop software for automated hardware tests, drivers, and communication protocols.
* Use AI coding assistants (e.g. GitHub Copilot, Claude) as part of the day-to-day development workflow.
* Contribute to new projects and provide support for existing ones.
* Assist in resolving production issues and analyzing failures.

Country:
Israel

City:
Herzliya

about the role
the control system specialist is responsible for supporting daily operations and projects with installation, configuration and maintenance of process control & automation systems including programmable logic controllers (plcs), human machine interface (hmis) and scada systems.
key responsibilities
responsible for interpreting control philosophies, cause & effects, p&ids and developing, testing, documenting, and maintaining rockwell controllogix plc & factorytalk hmi based systems and archestra system platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities.
supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining scada, dcs, sis, hmis, plcs, pcn servers & applications and communication systems reliability and availability.
maintain scada data reporting systems, support operations production reliability and optimization efforts and support pcn information risk management (irm) compliance.
train and mentor operations and maintenance personnel.
familiarization with the following software packages preferred:rslogix 5000, studio 5000.
factory talk asset center
factory talk view me & factory talk view se
archestra system platform
wonderware intouch

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, realtime model optimizations, utilizing Large Language Models (LLMs), and building state-of-the-art complex recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with the latest technologies in recommender systems and search.

You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations, demonstrating proven analytical abilities and comfort in collaborating with cross-functional teams and systems.

The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

We are looking for a Senior Software Developer to join our development team and build complex, interactive, data-driven applications with advanced visualization capabilities. The role combines hands-on development, software design, technical leadership, and end-to-end ownership of solutions from early-stage prototypes and MVPs through production.

How you will make an impact:
Design, develop, and maintain complex software applications.
Initiate and build new projects from the ground up, including early-stage prototypes and MVPs.
Translate product ideas and requirements into well-structured software designs.
Build interactive user interfaces with a focus on usability and performance.
Implement and maintain backend services and APIs.
Participate in software design and architecture discussions.
Work with cloud-based infrastructure and deployment pipelines.
Collaborate closely with product, design, and engineering teams.
Write clean, maintainable, well-documented, and well-tested code.
Participate in code reviews and technical decision-making.

We are looking for a Director of Science to guide OUR scientific research and development in genetics and genomics. As the company expands beyond genetic genealogy into health-related products, including clinical genomics, high coverage whole genome sequencing, and wellness and trait analyses, this role will be central to building the algorithms, pipelines, and scientific standards behind them. It will also support the continued development of our core genetic genealogy products, including ethnicity estimation, relationship inference, local ancestry, and more.

The ideal candidate combines deep expertise in computational genomics, method development and machine learning with hands-on clinical genomics experience, strong leadership, and a proven ability to execute in a dynamic, consumer-facing environment.

Your work will directly impact millions of users worldwide, helping them discover their health, ancestry and connect with family through science. Youll apply cutting-edge methods to analyze millions of DNA samples and family trees, leveraging one of the largest consumer genetics datasets in the world.

Key Responsibilities
Scientific leadership: Define and execute the scientific roadmap aligned with company goals, including the expansion into health and clinical genomics.
Team leadership: Manage and mentor a team of senior scientists and data scientists. Provide technical direction, support professional growth, and foster a culture of scientific excellence.
Algorithmic research: Lead the design, development and validation of scalable, production-ready algorithms and pipelines. These include sequencing analysis and variant interpretation, carrier screening, polygenic risk scores, and new genetic genealogy methods.
Collaboration and communication: Work closely with engineering, product, and data teams to translate research into user-facing features. Clearly communicate scientific concepts, limitations, and progress internally and externally.

abra's R&D Embedded division is seeking an Embedded Software Engineer (Python/Linux) to join our team in Ra'anana/Jerusalem! We are seeking an experienced Embedded Software Engineer to develop software solutions for Linux-based embedded systems. The role involves designing and implementing software that interfaces with hardware components, communication peripherals, and system-level services. The ideal candidate is a hands-on engineer with strong Python skills, experience working in embedded Linux environments, and the ability to independently investigate technical challenges and drive solutions from concept to implementation. Key Responsibilities:
* Develop software for embedded Linux platforms using Python.
* Design and implement software interfaces for hardware peripherals and system components.
* Integrate and validate communication interfaces and device functionality.
* Investigate, debug, and resolve software and hardware integration issues.
* Collaborate with multidisciplinary engineering teams.
* Utilize AI-assisted development tools to improve productivity and software quality.
* Document software design and implementation.

What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

A fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Senior Product Manager to join our team and lead our CDP strategy. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! This role is based in Tel-Aviv or Jerusalem and reports to the Head of Product.

What you will be responsible for:
Own the strategy and roadmap for the CDP's data layer and its data sources, balancing the reliability, scale, and integration quality of a foundational layer with the pace of a live, revenue-generating product. Translate complex technical and architectural tradeoffs into product requirements and business impact, connecting platform decisions to adoption, ARR/MRR, and churn. Own both sides of the product lifecycle: the inbound work of discovery, specification, and technical decision-making, and the outbound work of launch, enablement, and adoption with customers and CSMs. Engage directly and regularly with customers, CSMs, and internal stakeholders, turning real-world data and integration challenges into product decisions. Partner closely with R&D leads and engineering to shape and execute the roadmap.


The top candidate will also have:
A background in marketing technology or finance-adjacent domains Passion and curiosity for emerging technologies, particularly applied AI Comfort operating with startup speed and urgency, balanced with the organization a foundational platform demands Experience working with international engineering counterparts or a parent company / strategic partner structure Openness to occasional travel to the US Strong leadership skills and a genuine desire to mentor others You are a storyteller who can distill compelling narratives from technical complexity and endless detail

Why you should join us:
An awesome global team of forward-thinking, innovative go-getters. A front-row seat to the strategic decisions shaping the company at a pivotal moment. Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one. Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you. Of course - Wolt+ and lots of yummy office treats!

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.