Staff Software Engineer, Performance and Kernel, DeepMind

Google DeepMind; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google DeepMind in Mountain View, CA is seeking a Software Engineer to develop and optimize low-level performance software for next-generation systolic array accelerators and to collaborate with ML researchers on high-value algorithms.

The role requires extensive software development experience and a track record in performance analysis within a matrixed organization. Competitive compensation, equity, and benefits are offered.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years of testing and launching software products.
• 5 years of power or performance modeling or system performance analysis.
• 5 years of Linux kernel development and software/hardware architecture.
• 3 years of software design and architecture.

Responsibilities

• Write low-level performance software for a new systolic array accelerators.
• Identify high-value algorithms and problems for the new machines.
• Build programming infrastructure to ease programming on the accelerator for performance and general software engineers.
• Collaborate with application, algorithm, and performance-tuning experts to codesign solutions for efficiency, performance, and programmability.
• Communicate performance results to team and partner teams.

Skills

Software development

Testing & launching software

Performance modeling

Linux kernel development

System architecture

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience in power or performance modeling or system performance analysis.
• 5 years of experience with Linux Kernel development and software and hardware architecture.
• 3 years of experience with software design and 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 working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Deep expertise in at least some of the following: operating systems, networking systems, storage systems, analytics, machine learning, working with distributed query processing and deep functional flows.

About The Job

At DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

Accelerators have become a strategic differentiator in today’s hyperscale AI competition. Unlike classic data center infrastructure, these new codesigned systems must meet future demands as our workloads continue to evolve and mutate. Through our projects, we are deploying new hardware in Google data centers to drive enhanced capabilities and efficiency, partnering closely with the teams responsible for Google’s technical infrastructure to successfully deliver these systems.

We are a co-design team within DeepMind’s GenAI Systems, operating across Google’s vertically integrated stack. Our expertise spans hardware including architecture, logic design, design verification, and physical design software, such as compilation, performance optimization, libraries, operating systems, and kernels, and algorithms, covering ML model design, optimization methods, numerics, and sparsity. In these fields, we conduct research while delivering production-quality hardware and software products.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Write low-level performance software for a new systolic array accelerators.
• Identify high-value algorithms and problems that are a match to this new machines.
• Use that direct experience delivering production code to build programming infrastructure to ease programming on the new accelerator for the performance software engineers and general software engineers who follow.
• Collaborate with application, algorithm, and performance-tuning experts to codesign solutions for the best efficiency, performance, and programmability.
• Communicate the performance, programmability, and efficiency results to our team and to our partner teams.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.