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Minimum qualifications:

+ Bachelor's degree or equivalent practical experience.

+ 8 years of experience in software development, and with data structures/algorithms.

+ 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

+ Experience in cross-functional collaboration and working across boundaries.

+ Experience working with Python, C++, or Go.

Preferred qualifications:

+ Experience with system software, distributed systems, and complex multi-component software systems.

+ Experience in developing and releasing system software products and C/C++ programming skills.

+ Experience with Linux, GPU Drivers, and GPU Programming.

+ Understanding of key concepts of performance analysis and tuning.

+ Familiarity with the Linux kernel interface and containers.

+ Passion for reliability, efficiency, and scale.

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

Our team builds a high performance, reliable and efficient Borglet for Google Cloud Offloads and Machine Learning (ML) use cases. We're part of the broader Borglet team, Google's node management agent. We’re a strong, systems-heavy team that works closely with Borg cluster management software, the kernel, with Hardware platforms and user applications.

The Borglet team runs as a set of smaller 10-15 person sub-teams, with Offloads and ML being two of them, executing on various projects in all major areas of infrastructure. Each team runs independently and is given a large amount of freedom, yet can still count on the support of the rest of the team. Our stack is mostly C++ with some Go used for cluster services.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + 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 (https://careers.google.com/benefits/) .

+ Serve as the technical lead of a team of engineers focussed on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware.

+ Collaborate with partner teams as well as users across Google (e.g., Borg team, ML teams, Hardware platform teams, SRE teams, Google Cloud, etc.).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.