Overview About the Team Copilot Security builds the foundations that make Microsoft’s AI experiences trusted, resilient, and safe. We design and implement security capabilities that protect users across Windows, Edge, web, mobile, and third-party ecosystems. Our work spans secure identity flows, defenses against threats like prompt injection, and privacy-first systems that scale globally.
\nAbout the Role Copilot is entering a new era of agentic AI, where intelligent agents take actions on behalf of users. We’re looking for a Software Engineer II with solid fundamentals and high growth potential,someone who can quickly deepen their expertise in AI-driven security and expand their ownership over time. You’ll contribute to secure orchestration frameworks, AI-powered defenses, and the core systems that ensure Copilot’s actions remain trustworthy.
\nResponsibilities Build and ship security features that protect Copilot from threats such as prompt injection, adversarial manipulation, and unsafe agentic workflows. Implement secure orchestration components that allow Copilot to safely delegate and execute actions across devices, services, and platforms. Contribute to developing intelligent agents that apply information-flow reasoning, guardrails, and common-sense constraints for security and privacy. Collaborate with partner teams across engineering, product, security, privacy, and AI to adopt secure agentic patterns and best practices. Instrument and monitor key metrics for agentic AI security, using data to improve reliability, safety, and user trust. Write clear documentation for secure agentic patterns, including safe-delegation guidelines and emerging risk considerations. Demonstrate high growth potential by progressively expanding technical scope, autonomy, and ownership as you gain experience with agentic AI and security systems.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nPreferred Qualifications: Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
\nExperience building production-quality software systems. 1–2+ years building or operating large-scale distributed systems or services. Experience working on security-critical, privacy-sensitive, or AI-powered systems. Familiarity with agentic AI concepts such as tool calling, orchestration, or multi-agent workflows. Experience with modern cloud development, containerization (Docker, Kubernetes), or distributed compute frameworks. Exposure to evaluation or observability tooling for LLM-based applications (e.g., LangFuse, MLFlow, Phoenix) or interest in learning these systems. Ability to communicate technical concepts clearly and collaborate effectively across teams. Demonstrated high growth potential, with solid learning velocity and the ability to quickly take on broader areas of ownership. Growth mindset with interest in developing deeper expertise in AI security, orchestration, and emerging threat models.
\n#MicrosoftAI #MAI DPS
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\nAbout the Role Copilot is entering a new era of agentic AI, where intelligent agents take actions on behalf of users. We’re looking for a Software Engineer II with solid fundamentals and high growth potential,someone who can quickly deepen their expertise in AI-driven security and expand their ownership over time. You’ll contribute to secure orchestration frameworks, AI-powered defenses, and the core systems that ensure Copilot’s actions remain trustworthy. This role is ideal for engineers who enjoy solving complex technical problems, learning new AI-driven patterns, and building secure, scalable systems that balance innovation with user trust.
\nWhy This Role Matters Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products.
\nResponsibilities Build and ship security features that protect Copilot from threats such as prompt injection, adversarial manipulation, and unsafe agentic workflows. Implement secure orchestration components that allow Copilot to safely delegate and execute actions across devices, services, and platforms. Contribute to developing intelligent agents that apply information-flow reasoning, guardrails, and common-sense constraints for security and privacy. Collaborate with partner teams across engineering, product, security, privacy, and AI to adopt secure agentic patterns and best practices. Instrument and monitor key metrics for agentic AI security, using data to improve reliability, safety, and user trust. Write clear documentation for secure agentic patterns, including safe-delegation guidelines and emerging risk considerations. Demonstrate high growth potential by progressively expanding technical scope, autonomy, and ownership as you gain experience with agentic AI and security systems.
\nQualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
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\nAbout the Role Copilot is entering a new era of agentic AI, where intelligent agents take actions on behalf of users. We’re looking for a Software Engineer II with solid fundamentals and high growth potential,someone who can quickly deepen their expertise in AI-driven security and expand their ownership over time. You’ll contribute to secure orchestration frameworks, AI-powered defenses, and the core systems that ensure Copilot’s actions remain trustworthy.
\nResponsibilities Build and ship security features that protect Copilot from threats such as prompt injection, adversarial manipulation, and unsafe agentic workflows. Implement secure orchestration components that allow Copilot to safely delegate and execute actions across devices, services, and platforms. Contribute to developing intelligent agents that apply information-flow reasoning, guardrails, and common-sense constraints for security and privacy. Collaborate with partner teams across engineering, product, security, privacy, and AI to adopt secure agentic patterns and best practices. Instrument and monitor key metrics for agentic AI security, using data to improve reliability, safety, and user trust. Write clear documentation for secure agentic patterns, including safe-delegation guidelines and emerging risk considerations. Demonstrate high growth potential by progressively expanding technical scope, autonomy, and ownership as you gain experience with agentic AI and security systems.
\nQualifications Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
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\nThis is a highly collaborative role. You'll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.
\nAs a researcher in this role, you'll be expected to:
\nShare code, datasets, and insights that accelerate progress across industry and academia.
\nThis role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.
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\nIn this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.
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\nTo succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.
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\nNice to have: experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring; familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
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\nAs a software engineer on our data infrastructure team, you'll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. You'll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You'll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.
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\nThe ideal candidate will have expertise in multimodality and experience running large-scale experiments. They will be comfortable contributing to complex engineering systems and have a strong grasp of probability, statistics, and machine learning fundamentals.
\nThis is an evergreen role, meaning that the position is open on an ongoing basis. The company receives many applications, and there may not always be an immediate role that aligns perfectly with the candidate's experience and skills. However, they encourage candidates to apply and continuously review applications.
\nResponsibilities:
\nSkills and Qualifications:
\nPreferred qualifications include research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design, experience developing evaluation frameworks for multimodal tasks, publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI, and a strong grasp of probability, statistics, and ML fundamentals.
\nLogistics:
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\nThis platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration.
\nYou will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow.
\nResponsibilities:
\nAbout the role:
\nPreferred:
\nWhy CoreWeave?
\nAt CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
\nThe base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
\nWhat We Offer
\nThe range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
\nIn addition to a competitive salary, we offer a variety of benefits to support your needs, including:
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\nYour work will create the foundational dataset that powers our research by building robust, scalable systems for linking, deduplicating, reconciling, and enriching data at massive scale. This role centres on high-impact bulk ingestion and advanced data linkage. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the company.
\nYou will collaborate closely with ML researchers and product teams, working with tools such as BigQuery, Dataflow/Beam, TFRecords, and,where beneficial,distributed systems frameworks like Ray. Familiarity with ML workflows using JAX or multihost training is a plus, as the datasets you produce will directly support that ecosystem.
\nResponsibilities:
\nRequirements:
\nNice to Have:
\nWhy Join Us:
\nBenefits:
\nXML job scraping automation by YubHub
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