Key responsibilities include designing, implementing, and optimizing distributed training systems, developing high-performance optimizations, and establishing standards for reliability, maintainability, and security. You'll collaborate with researchers and engineers to build scalable infrastructure and publish learnings through internal documentation, open-source libraries, or technical reports.

We're looking for someone who blends deep systems and performance expertise with a curiosity for machine learning at scale. A strong understanding of deep learning frameworks, such as PyTorch, and experience working on distributed training for large models are preferred. If you have a track record of improving research productivity through infrastructure design or process improvements, that's a plus.

This role is based in San Francisco, California, and offers a competitive salary range of $350,000 - $475,000 USD per year, depending on background, skills, and experience. We sponsor visas and offer generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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You will have a strong track record of writing clean, efficient, maintainable, and scalable code in Python or Rust, and a deep interest in voice/audio AI. You will also have hands-on experience shipping features on iOS and/or Android, and the ability to work across all product groups and do whatever it takes for best user experience.

In this role, you will collaborate directly with Grok Voice model, media, and product teams to deliver end-to-end experiences, and drive performance, reliability, and quality of voice interactions at global scale. You will also have the opportunity to participate in a flat organisational structure, where leadership is given to those who show initiative and consistently deliver excellence.

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Microsoft are looking for an experienced Software Engineer to join the Ads Engineering team and help advance the core capabilities of our Ads serving stack. This system powers advertisements across a range of Microsoft services, including Bing Search, MSN, Start.com, and shopping experiences in the Edge browser.

About the Role

We are looking for an experienced Software Engineer to join the Ads Engineering team and help advance the core capabilities of our Ads serving stack. This system powers advertisements across a range of Microsoft services, including Bing Search, MSN, Start.com, and shopping experiences in the Edge browser. Our serving stack is a high-scale, low-latency, geo-distributed system with numerous components—including large-scale machine learning inference for ad ranking, real-time bidding infrastructure, and other subsystems supporting diverse ad scenarios. This role offers an exciting opportunity to contribute to the innovation and evolution of a system operating at an exceptional scale and speed. You’ll face a wide variety of technical challenges: from designing new features and optimizing performance down to the millisecond, to building scalable infrastructure for containerized services. You’ll work alongside a passionate, world-class engineering team, own major feature areas, and collaborate globally. If you thrive on solving complex technical problems in a dynamic environment, this is the opportunity for you.

Accountabilities

• Design and develop large-scale, distributed systems—including CPU and GPU ranking platforms—to support real-time processing of millions of ad requests per second with high efficiency, extensibility, diagnosability, reliability, and maintainability.
• Lead architecture discussions, create technical design documents, and drive end-to-end solution planning—identifying system dependencies, performance optimizations, and security/compliance requirements across interconnected services.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Python.

Technical skills:

• Proven experience in designing, implementing, and validating deep learning systems for real-time online inference.
• Solid expertise in optimizing machine learning models for GPUs, including development of custom CUDA kernels for performance-critical workloads.
• Hands-on experience in designing, implementing, and scaling large-scale, distributed online systems with a deep understanding of system architecture.

Personal attributes:

• Proven ability to profile, analyze, and optimize performance and capacity of native C++ systems in complex, high-throughput environments.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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