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Staff Software Engineer, Cloud HPC Machine Learning Networking

California, United States (On-site)

Staff Software Engineer, Cloud HPC Machine Learning Networking

2 Days ago • 8-14 Years • Artificial Intelligence • Research & Development

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

cpp

algorithms

data-structures

networking

cross-functional

Job Description

This Staff Software Engineer role focuses on enhancing Google Cloud Platform's (GCP) High-Performance Computing (HPC) and Machine Learning (ML) capabilities. Responsibilities include identifying networking opportunities to optimize the ML pipeline (training and inference), optimizing HPC and ML performance across various layers (kernel, user-space libraries, applications), and building solutions leveraging GCP's new hardware. The ideal candidate possesses strong software development skills (C, C++, data structures, algorithms), experience with networking protocols, machine learning, and ideally, experience with device drivers, HPC, and RDMA. The role involves managing project priorities, deadlines, and deliverables, as well as designing, developing, testing, deploying, maintaining, and enhancing software solutions.

Must have:

8+ years software development experience
Data structures/algorithms expertise
C language proficiency
Machine learning experience
Networking protocols knowledge

Good to have:

Master's/PhD in related field
Technical leadership experience
Experience in complex organizations
C++ proficiency
Device driver experience
HPC expertise
RDMA knowledge

Perks:

Bonus
Equity
Benefits

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 with C language, Machine Learning, and Networking Protocols.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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 with C++, Device Drivers, Networking, High Performance Computing, and Remote Direct Memory Access.

About the job

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

Identify opportunities for networking to add value to the machine learning pipeline, both training and inference, and other HPC applications.
Lead efforts optimizing High Performance Computing (HPC) and Machine Learning (Ml) performance on Google Cloud platforms (GCP's) infrastructure. This spans a wide range, from kernel optimization, user-space communication libraries, like lib-fabric, all the way to customer's HPC and machine learning applications.
Build up solutions on Google Cloud Platforms (GCP's) new hardware capabilities.

View Full Job Description

$189.0K - $284.0K/yr (Outscal est.)

$236.5K/yr avg.

Sunnyvale, California, United States

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.