NPI Engineer, Embedded Firmware and Software, Emerging Accelerator Software

Google's 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 Google’s 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.

Accel Platforms and Lab Team's mission is to empower Google's accelerator roadmap by engineering foundational hardware (PCIe, fabric, IOMMU) and low-level software (kernel, firmware). We provide reliable, secure, and efficient accelerator-to-host connectivity to enable cutting-edge use cases. The team is also responsible for onboarding new types of domain-specific accelerators into Google data centers.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• On-board emerging co-accelerators into Google's ML accelerator families to enable new use cases with improved performance and efficiency.
• Collaborate with internal teams to design and implement new features in system software, including firmware or daemons running on BMC/hosts and kernel drivers.
• Design and develop tests, tools, telemetry, and dashboards to generate insights to monitor and debug potential issues.
• Analyze, debug, and resolve complex system-level challenges related to host and management software stacks.
• Provide technical leadership to help formulate and drive software development plans and identify dependencies in cross-functional teams.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in testing, and launching software products.
• 5 years of experience in working with embedded operating systems.
• 3 years of experience with software design and architecture.
• Experience with C, C++, operating systems, and computer architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in designing, developing, and deploying HPC server solutions with entire development cycle.
• Working knowledge of any hardware-accelerated compute pipelines (GPUs, ML accelerators) and its system integration (boot flow, firmware, telemetry).