דרושים » תוכנה » R&D Software Engineer - Core Processor

We are looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.

Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Requirements
Responsibilities:

Develop compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

We're looking for a bright and passionate Senior Software Engineer to join our Endpoint Data Protection team. In this critical role, you will design, develop and maintain core components of our endpoint clients running on Windows and Mac, used by hundreds of thousands of users worldwide, across households and enterprise environments. You will help take our clients to the next level - building new low-level capabilities at the heart of how people move, share and protect their files, devices and network traffic. The scope is broad and the room to grow is real: ownership and technical leadership scale with you.

Responsibilities:

Developing core low-level components for our clients on Windows and Mac
Researching new technologies, including ways to use AI to accelerate engineering and product capabilities
Taking ownership on new features and leading collaborative efforts end to end
Supporting the entire application lifecycle, including release management and supporting production
Collaborating with quality assurance, technical support, product management and other engineering teams to deliver integrated features

As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

Required Software Engineer III, Cloud Networking
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
This Team owns the core data plane infrastructure for all NAT-based products within the Andromeda network stack (e.g., private service connect (PSC) and Cloud network address translation (NAT). These products serve as critical entry and exit gateways that securely connect Cloud customers to their services and networks.
Responsibilities
Design, develop, test, and maintain high-performance software for our Cloud's core networking and secure connectivity platforms.
Manage complex scalability, resource efficiency, and performance optimization challenges to evolve our cloud networking datapath.
Collaborate with cross-functional engineering partners to define and build new network architectures and routing methods.
Manage individual project priorities, deadlines, and deliverables, ensuring high engineering velocity and robust code quality.
Participate in operational rotations, monitor production health, and troubleshoot packet latency or connectivity issues to keep our global systems healthy.

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where youll be solving complex challenges and driving innovation in how data operations are managed. Youll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future.

What You'll Do
Design & Develop: Design, develop, and maintain scalable and reliable code for DataOps platform, ensuring high performance, security, and scalability.

Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With our Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.

Responsibilities may include the following and other duties may be assigned:
Designing and executing SW verification activities: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Automation and continuous improvement: Contribute to the development and expansion of automated testing solutions. Continuously look for ways to improve test efficiency, coverage, and reliability by adopting new tools, scripting approaches, and creative testing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.

We are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.

In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.

Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.


Responsibilities

Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.

Drive architectural and technical design decisions for high-scale, performance-critical systems.

Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.

Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.

Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.

Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.

Promote engineering best practices, code quality, design reviews, and technical innovation across the team.

Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.