Software Engineer, Hardware Accelerators Performance, GeminiApp, DeepMind

Google Inc.; Mountain View, San Francisco (CA, CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind is seeking a Software Engineer to advance performance for Gemini models on hardware accelerators such as TPUs and GPUs. You will work on 2D/3D test environments, create visualizations, and develop tooling to measure and improve efficiency, spanning from model configurations to compiler passes.

You will profile distributed workloads, implement high-performance kernels, and contribute to end-to-end optimization.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Python.
• Experience with profiling tools (e.g., gProf, Valgrind, or VTune) for performance optimization.
• Experience in software development for hardware accelerators (e.g., CPUs, GPUs, or TPUs), including memory-hierarchy or instruction-level tuning.

Responsibilities

• Improve training and serving efficiency of Gemini models on hardware accelerators (TPUs/GPUs) across configurations and compiler passes.
• Profile large-scale distributed workloads to diagnose bottlenecks and identify optimization opportunities.
• Design and implement high-performance, low-level custom kernels for model operators to maximize hardware utilization.
• Build and maintain benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against regressions.
• Influence accelerator architectures and compiler roadmaps with empirical workload profiles and model requirements.

Skills

C++

Python

Profiling tools

Hardware accelerators

Education

Bachelor's degree

Tools

gProf

Valgrind

VTune

Job description

Software Engineer, Hardware Accelerators Performance, GeminiApp, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA ; San Francisco, CA, USA

info_outline X 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; San Francisco, CA, USA.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Python.
• Experience with profiling tools (e.g., gProf, Valgrind, or VTune) for performance optimization.
• Experience in software development for hardware accelerators (e.g., CPUs, GPUs, or TPUs), including memory-hierarchy or instruction-level tuning.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 3 years of experience with advanced data structures, algorithms, and machine learning optimization.

About the job

At Google 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.

Our mission is to maximize the performance and scaling of hardware accelerators (TPUs and GPUs) across Google DeepMind and Google, with a core focus on Gemini model training and serving. We work across the JAX stack - spanning custom kernel development, large-scale model sharding, performance analysis, and compiler optimizations. Operating at the intersection of modeling, compilers, and infrastructure, we collaborate closely with partner teams to deliver end-to-end efficiency.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Improve the training and serving efficiency of Gemini models on hardware accelerators (TPUs and GPUs), spanning model configurations, execution runtimes, and dedicated compiler passes.
• Profile large-scale distributed workloads to diagnose compute, memory, and communication bottlenecks, identifying high-impact optimization opportunities.
• Design and implement high-performance, low-level custom kernels for critical model operators to unlock peak hardware utilization.
• Build and maintain automated benchmarking pipelines and diagnostic tooling to track, reproduce, and guard against performance regressions.
• Influence next-generation accelerator architectures and compiler roadmaps by feeding back empirical workload profiles and model requirements.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.