We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

we are looking for a Software Engineer Infra.
Responsibilities:
- Design and develop the core infrastructure components that power our products across a large-scale distributed system.
- Own and evolve key infrastructure domains such as high-availability, data-management, security, and telemetry.
- Produce excellent software design, write clean and efficient code, and debug complex issues across the stack.
- Mentor and guide junior engineers, sharing knowledge and raising the technical bar of the team.
- Turn ambitious, out-of-the-box ideas into real, production-grade value for our customers.

We are looking for a Security C++ Software Engineer to join our R&D organization and take part in developing high-end security technologies that protect critical business infrastructures from network and application downtime, application vulnerability exploitation, and emerging cyber threats.

You will join a highly skilled engineering team focused on building the next generation of cybersecurity defense systems, as well as enhancing the effectiveness and control of existing capabilities.

This role offers the opportunity to work in one of the most challenging and fast-evolving domains in cybersecurity, delivering cutting-edge solutions to customers worldwide.

What will you do?
Be part of a small, highly technical team responsible for designing and developing our cross-platform security products, with a strong focus on virtualization solutions.
Gain deep familiarity with the application code and serve as a focal point for R&D technical discussions and design decisions.
Develop advanced techniques to prevent cyberattacks by inspecting network traffic across all layers (Layers 2-7).
Ensure that applications run efficiently in virtualized and cloud environments, as well as on high-end platforms supporting multi-gigabit traffic.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Windows C++ Engineer - Windows Endpoint, you will be tasked with building and maintaining core usermode infrastructure for our Windows agent. This role requires a background in systems programming and strong experience working with complex infrastructure. You will join our Usermode Infra team, which owns the core usermode infrastructure behind our Windows agent, including configuration, asset management, add-ons, and backend communication.
In this role, youll collaborate with talented engineers to drive features end-to-end, contributing to key architectural components. Your work will have a direct impact on millions of endpoints within a core area of our EPP/EDR platform.

We are looking for an experienced Senior System Integration Engineer to join our team.

The role involves planning and executing system integration activities across multiple subsystems, from development through production. You will work with complex systems combining software, computing, IP networks, communications, RF, navigation & control, algorithms, and computer vision.

Responsibilities
System operation and troubleshooting, planning and executing integration processes, writing integration test specifications, preparing performance validation tests, and analyzing system behavior and performance.

We are looking for a 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 an individual contributor 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 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.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

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.

The MLIL FLOW team is looking for a Software Development Engineer to design and build automation, tooling, and monitoring systems for our next-generation ML accelerator servers. We build production software to validate, initialize, monitor, and qualify these servers - from first silicon through fleet-scale deployment. Our work spans hardware diagnostics, manufacturing test automation, CI/CD pipelines, operational dashboards, and data-driven fleet health monitoring.

Key job responsibilities
Design and develop software infrastructure - automation frameworks, deployment systems, and test orchestration platforms that run at scale across manufacturing and production environments.
Work cross-functionally with Hardware, Manufacturing, and EC2 teams to automate coordinated software delivery and qualification workflows.
Debug and root-cause hardware/software interaction failures using systematic data analysis and automation-assisted triage.
Build and own CI/CD pipelines end-to-end: from code commit through build, test, deploy, and production validation - driving fast, reliable software delivery for hardware teams.
Create data pipelines and analytics systems (ETL, aggregation, real-time reporting) that transform raw hardware test results into actionable engineering insights.
Develop monitoring dashboards, alerting systems, and data visualization tools for fleet health, yield tracking, and performance benchmarking.
Own features end-to-end: from design through implementation, testing, deployment, and operational excellence.

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.