1cbb35f6-119 Principal Software Engineer - Copilot Security Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems.

Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We’re seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.

Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 10+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

8+ years in technical engineering roles building large-scale services.

8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

Proven ability to design, build, and ship agentic AI features or frameworks.

Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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]]> full-time senior hybrid C, C++, C#, Java, Go, Python, LangGraph, Amazon Strands SDK, Distributed training frameworks, Containerization and orchestration technologies, ML model deployment, ML lifecycle management, Evaluation frameworks, Observability for agent systems, AI safety evaluation methodologies, Adversarial testing, Red-teaming, Azure AI services, Azure OpenAI Service, Microsoft security platforms Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/principal-software-engineer-copilot-security-10/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Redmond 2026-04-25 c56358de-ea2 Principal Software Engineer - Copilot Security Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems.

Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We’re seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.

Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.

Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.

Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.

Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.

Master’s Degree in Computer Science or related technical field AND 10+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

8+ years in technical engineering roles building large-scale services.

8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

Proven ability to design, build, and ship agentic AI features or frameworks.

Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.

Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.

Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.

Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

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]]> full-time senior hybrid $163,000 – $296,400 per year C, C++, C#, Java, Go, Python, LangGraph, Amazon Strands SDK, Distributed training frameworks, Containerization and orchestration technologies, ML model deployment, ML lifecycle management, Evaluation frameworks, Observability for agent systems, AI safety evaluation methodologies, Adversarial testing, Red-teaming, Azure AI services, Azure OpenAI Service, Microsoft security platforms Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/principal-software-engineer-copilot-security-11/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Mountain View 2026-04-25 9508daba-3b6 Principal Software Engineer - Copilot Security Copilot Security is at the core of Microsoft's mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems.

Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We're seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI.

As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.

Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

  • Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
  • Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
  • Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.
  • Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience.
  • 8+ years in technical engineering roles building large-scale services.
  • 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
  • Proven ability to design, build, and ship agentic AI features or frameworks.
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
  • Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
  • Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI

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]]> full-time senior hybrid $163,000 – $296,400 per year C, C++, C#, Java, Go, Python, LangGraph, Amazon Strands SDK, Distributed training frameworks, Containerization and orchestration technologies, ML model deployment, ML lifecycle management, Evaluation frameworks, Observability for agent systems, AI safety evaluation methodologies, Adversarial testing and red-teaming, Azure AI services, Azure OpenAI Service, Microsoft security platforms Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/principal-software-engineer-copilot-security-12/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply New York 2026-04-25 d8428649-c5d Principal Software Engineer - Copilot Security Copilot Security is at the core of Microsoft's mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We're seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You'll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. 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.

As a Principal Software Engineer, you will:

  • Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
  • Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.
  • Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.
  • Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
  • Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.

Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 8+ years in technical engineering roles building large-scale services.
  • 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
  • Proven ability to design, build, and ship agentic AI features or frameworks.
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
  • Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
  • Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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]]> full-time senior hybrid The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. C, C++, C#, Java, JavaScript, Python, LangGraph, Amazon Strands SDK, Distributed training frameworks, Containerization and orchestration technologies, ML model deployment, ML lifecycle management, Evaluation frameworks, Observability for agent systems, AI safety evaluation methodologies, Adversarial testing and red-teaming, Azure AI services, Azure OpenAI Service, Microsoft security platforms Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/principal-software-engineer-copilot-security-8/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply New York 2026-04-24 30ff260f-203 Senior Software Engineer - Copilot Security About the Team Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust.

Why 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.

Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ 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: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals

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]]> full-time senior hybrid $119,800 – $234,700 per year C, C++, C#, Java, JavaScript, Python, Agentic AI, Secure Orchestration, Advanced Threat Defenses, Distributed Training Frameworks, Containerizationoloj, Orchestration Technologies, ML Model Deployment, ML Lifecycle Management, Evaluation Frameworks, Observability, AI Safety Evaluation Methodologies, Adversarial Testing, Red-Teaming, Azure AI Services, Azure OpenAI Service, Microsoft Security Platforms, LangGraph, Amazon Strands SDK, Docker, Kubernetes, Phoenix, MLFlow, LangFuse, Custom Eval Harnesses Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft develops software, services, and solutions for personal and enterprise use. It is one of the world's largest technology companies. https://microsoft.ai https://microsoft.ai/job/senior-software-engineer-copilot-security-4/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Redmond 2026-04-24 0f54e984-37f Principal Software Engineer - Copilot Security Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction,across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.

We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale.

This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. 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.

As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

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]]> full-time senior hybrid $139,900 – $274,800 per year C, C++, C#, Java, JavaScript, Python, Agentic AI, Secure Orchestration, Advanced Threat Defenses, LangGraph, Amazon Strands SDK, Distributed Training Frameworks, Containerization and Orchestration Technologies, ML Model Deployment, ML Lifecycle Management, Observability for Agent Systems, AI Safety Evaluation Methodologies Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/principal-software-engineer-copilot-security-7/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Redmond 2026-04-24 da519580-83a Senior Software Engineer - Copilot Security About the Team Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems.

About the Role Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot.

Responsibilities Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows. Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms. Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI. Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement. Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Qualifications Required Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 4+ 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: 3+ years in technical engineering roles building large-scale services. Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. Proven ability to design, build, and ship agentic AI features or frameworks. Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns. Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments. Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming. Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview). Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

#MicrosoftAI Software Engineering IC4 The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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]]> full-time senior hybrid $119,800 – $234,700 per year C, C++, C#, Java, JavaScript, Python, LangGraph, Amazon Strands SDK, Docker, Kubernetes, Ray, Slurm, HPC, ML model deployment, ML lifecycle management, Phoenix, MLFlow, LangFuse, Azure AI services, Azure OpenAI Service, Microsoft security platforms, Azure AD, Defender, Purview, agentic AI, secure orchestration, advanced threat defenses, distributed training frameworks, containerization and orchestration technologies, evaluation frameworks for LLM-based applications, observability for agent systems Engineering Technology Microsoft https://logos.yubhub.co/microsoft.ai.png Microsoft is a multinational technology company that develops, manufactures, licenses, and supports a wide range of software products, services, and devices. https://microsoft.ai https://microsoft.ai/job/senior-software-engineer-copilot-security-5/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply New York 2026-04-24 f0f66ce3-d78 Senior GenAI Research Engineer - Optimization and Kernels As a research engineer on the Scaling team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art.

You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. Your goal will be to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

Your responsibilities will include:

  • Driving performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns
  • Designing, implementing, and optimizing high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures
  • Designing and implementing distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations
  • Profiling, debugging, and optimizing end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training

We look for candidates with a strong background in computer science or a related field, hands-on experience writing and tuning CUDA kernels for ML training applications, and a deep understanding of parallelism techniques and memory optimization strategies for large-scale model training.

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]]> full-time senior onsite $166,000-$225,000 USD CUDA, NVIDIA GPU architecture, PyTorch, distributed training frameworks, parallelism techniques, memory optimization strategies Engineering Technology Databricks https://logos.yubhub.co/databricks.com.png Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. https://databricks.com https://job-boards.greenhouse.io/databricks/jobs/8297797002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply San Francisco, California 2026-04-18 ff4d3a91-b20 Principal Engineer - Perf and Benchmarking We're looking for a Principal Engineer to be the technical lead of CoreWeave's Benchmarking & Performance team. You will be responsible for our planet-scale performance data warehouse: Ingesting, storing, transforming and analyzing performance events in all the data centers across our global infrastructure.

You will also be an integral part of achieving industry-leading end-to-end performance benchmarking publications: If MLPerf (Training & Inference), Working closely with NVIDIA (Megatron-LM, TensorRT-LLM & DGX cloud) and the open-source community (llm-d, vLLM and all popular ML frameworks) speak to you, come help us demonstrate CoreWeave's performance reliability leadership in the field.

Responsibilities

  • Strategy & Leadership - Define the multi-year benchmarking strategy and roadmap; prioritize models/workloads (LLMs, diffusion, vision, speech) and hardware tiers. Build, lead, and mentor a high-performing team of performance engineers and data analysts. Establish governance for claims: documented methodologies, versioning, reproducibility, and audit trails.
  • Perf Ownership - Lead end-to-end MLPerf Inference and Training submissions: workload selection, cluster planning, runbooks, audits, and result publication. Coordinate optimization tracks with NVIDIA (CUDA, cuDNN, TensorRT/TensorRT-LLM, Triton, NCCL) to hit competitive results; drive upstream fixes where needed.
  • Internal Latency & Throughput Benchmarks - Design a Kubernetes-native, repeatable benchmarking service that exercises CoreWeave stacks across SUNK (Slurm on Kubernetes), Kueue, and Kubeflow pipelines. Measure and report p50/p95/p99 latency, jitter, tokens/s, time-to-first-token, cold-start/warm-start, and cost-per-token/request across models, precisions (BF16/FP8/FP4), batch sizes, and GPU types. Maintain a corpus of representative scenarios (streaming, batch, multi-tenant) and data sets; automate comparisons across software releases and hardware generations.
  • Tooling & Automation - Build CI/CD pipelines and K8s controllers/operators to schedule benchmarks at scale; integrate with observability stacks (Prometheus, Grafana, OpenTelemetry) and results warehouses. Implement supply-chain integrity for benchmark artifacts (SBOMs, Cosign signatures).
  • Cross-functional & Community - Partner with NVIDIA, key ISVs, and OSS projects (vLLM, Triton, KServe, PyTorch/DeepSpeed, ONNX Runtime) to co-develop optimizations and upstream improvements. Support Sales/SEs with authoritative numbers for RFPs and competitive evaluations; brief analysts and press with rigorous, defensible data.

Requirements

  • 10+ years building distributed systems or HPC/cloud services, with deep expertise on large-scale ML training or similar high-performance workloads.
  • Proven track record of architecting or building planet-scale data systems (e.g., telemetry platforms, observability stacks, cloud data warehouses, large-scale OLAP engines).
  • Deep understanding of GPU performance (CUDA, NCCL, RDMA, NVLink/PCIe, memory bandwidth), model-server stacks (Triton, vLLM, TensorRT-LLM, TorchServe), and distributed training frameworks (PyTorch FSDP/DeepSpeed/Megatron-LM).
  • Proficient with Kubernetes and ML control planes; familiarity with SUNK, Kueue, and Kubeflow in production environments.
  • Excellent communicator able to interface with executives, customers, auditors, and OSS communities.

Nice to have

  • Experience with time-series databases, log-structured merge trees (LSM), or custom storage engine development.
  • Experience running MLPerf submissions (Inference and/or Training) or equivalent audited benchmarks at scale.
  • Contributions to MLPerf, Triton, vLLM, PyTorch, KServe, or similar OSS projects.
  • Experience benchmarking multi-region fleets and large clusters (thousands of GPUs).
  • Publications/talks on ML performance, latency engineering, or large-scale benchmarking methodology.

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]]> full-time senior hybrid $206,000 to $333,000 Distributed systems, HPC/cloud services, Large-scale ML training, GPU performance, Model-server stacks, Distributed training frameworks, Kubernetes, ML control planes, Time-series databases, Log-structured merge trees, Custom storage engine development, MLPerf submissions, Audited benchmarks, Contributions to OSS projects, Benchmarking multi-region fleets, Large clusters, Publications/talks on ML performance Engineering Technology CoreWeave https://logos.yubhub.co/coreweave.com.png CoreWeave is a cloud-based platform for artificial intelligence that provides technology, tools, and teams to enable innovators to build and scale AI with confidence. https://www.coreweave.com https://job-boards.greenhouse.io/coreweave/jobs/4627302006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Sunnyvale, CA / Bellevue, WA 2026-04-18 d6f9b362-dbe Senior Machine Learning Engineer, ML Training Platform As a Senior Machine Learning Engineer on the Machine Learning Platform team at Reddit, you will be instrumental in architecting, implementing, and maintaining foundational Machine Learning (ML) infrastructure that powers Feeds Ranking, Content Understanding, Recommendations and more.

You will deliver a self-service ML platform that enables the continuous iteration and improvement of systems that use ML techniques including Deep Learning, Natural Language Processing, Recommendation Systems, Representation Learning and Computer Vision.

Key responsibilities include:

  • Leading the building, testing, and maintenance of ML training infrastructure at Reddit
  • Designing, building, and optimizing the infrastructure and tooling required to support large-scale machine learning workflows
  • Evolving the MLE experience, from provisioning interactive GPU environments through large-scale training, supporting on-demand and self-service workflows

You will work closely with the underlying compute team to ensure MLEs have efficient access to training hardware resources and handle resource contention gracefully.

In addition to technical expertise, you will treat internal MLEs as your customers, conducting user research, reducing friction in the 'Idea-to-Prototype' loop, and standardizing software environments (Docker images, Python dependency management).

To be successful in this role, you will have 5+ years of software engineering experience, with a focus on Platform Engineering, ML Infrastructure, or Backend Systems. You will also have deep Kubernetes expertise, Jupyter Ecosystem knowledge, strong coding skills in Python and Go, and experience with GPU environments, cloud providers, and distributed training frameworks.

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]]> full-time senior remote $216,700-$303,400 USD Kubernetes, Jupyter Ecosystem, Python, Go, GPU environments, Cloud providers, Distributed training frameworks Engineering Technology Reddit https://logos.yubhub.co/redditinc.com.png Reddit is a community-driven platform with over 100,000 active communities and 121 million daily active unique visitors. https://www.redditinc.com https://job-boards.greenhouse.io/reddit/jobs/7074776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Remote - United States 2026-04-18 71554e46-b64 Senior Engineering Manager, AI Runtime At Databricks, we are committed to enabling data teams to solve the world's toughest problems. As a Senior Engineering Manager, you will lead the team owning both the product experience and the foundational infrastructure of our AI Runtime (AIR) product.

You will be responsible for shaping customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas. This will involve collaborating closely across the platform, product, infrastructure, and research organisations.

Key responsibilities include:

  • Leading, mentoring, and growing a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure
  • Defining and owning the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments
  • Collaborating closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery
  • Driving architectural decisions and product design for managed GPU training at scale
  • Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact

We are looking for someone with 8+ years of software engineering experience, with 3+ years in engineering management. You should have a track record of building and operating managed GPU training infrastructure at scale, as well as deep familiarity with distributed training frameworks and parallelism strategies.

In addition, you should have experience with training resilience patterns, such as checkpointing, elastic training, and automated failure recovery for long-running jobs. You should also have a strong understanding of GPU performance fundamentals, including NCCL, interconnect topologies, and memory optimisation.

Experience building platform products with clear SLAs is also essential, as is strong cross-functional leadership across platform, product, and research teams. Excellent collaboration and communication skills are also required.

The pay range for this role is $228,600-$314,250 USD per year, depending on location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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]]> full-time senior onsite $228,600-$314,250 USD per year software engineering, engineering management, distributed training frameworks, parallelism strategies, GPU training infrastructure, checkpointing, elastic training, automated failure recovery, GPU performance fundamentals, NCCL, interconnect topologies, memory optimisation Engineering Technology Databricks https://logos.yubhub.co/databricks.com.png Databricks is a data and AI company that provides a unified platform for data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. https://databricks.com https://job-boards.greenhouse.io/databricks/jobs/8490282002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply Mountain View, California; San Francisco, California 2026-04-18