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Quality Controls Specialist
E Tech Group
Frederick, MD · Plano, TX
Coordinate with project management, engineering, commissioning teams, contractors, vendors, and site operations to resolve quality and readiness issues.
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Coordinates with mechanical engineering, manufacturing, sales, purchasing, and project management throughout design and build.
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Sr. Electrical Engineer/Project Manager
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Google

Senior Software Engineer, ML Performance, GenAI, DeepMind

Mountain View, CA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

Senior Software Engineer, ML Performance, GenAI, DeepMind

Share Senior Software Engineer, ML Performance, GenAI, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

Share Senior Software Engineer, ML Performance, GenAI, DeepMind

Minimum qualifications:

Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related STEM field or equivalent practical experience.
5 years of experience in software development, systems programming, or applied ML engineering or equivalent education credit (e.g., internships, student research, pre-graduate working experience).
3 years of experiencewith performance optimization, systems data analysis, visualization tools, or debugging.
3 years of experience with Generative AI, Large Language Models (LLMs), Machine Learning and related frameworks.
1 year of experience designing and launching production software products or foundation AI systems.

Preferred qualifications:

Master's or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical field.
3 years of experience in a technical leadership role setting architectural direction and guiding project teams.
Experience developing, evaluating, or serving large language models, agentic workflows, multimodal pipelines, or AI runtime APIs (e.g., PyTorch, JAX, Triton, vLLM, Gemini API).
Expertise or strong interest in the following areas: performance debugging and optimization of complex workloads, design of performance tools, compiler design and code optimization, high-performance software development techniques, concurrent programming, or multi-core computer architectures.

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.

We focus on identifying and achieving performance improvements in production and research ML workloads, with an emphasis on LLM inference - including serving latency, throughput, and cost per token - as well as the emerging demands of agentic workflows on current and next-generation TPU platforms. We work across the entire stack, ranging from model architecture and sharding strategies to Pallas/Mosaic kernels and XLA. Additionally, we partner closely with the Gemini modeling, Deployment, Compiler, and TPU hardware teams to shape the capabilities of next-generation accelerators.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

Drive down the cost per token of Gemini inference by optimizing throughput, accelerator utilization, batching, scheduling, and KV cache efficiency. Achieve these gains through expert optimization and by building agentic workflows that enable AI agents to discover, implement, and validate performance improvements at scale.
Be among the first to bring Gemini to new TPU generations by characterizing hardware at launch, tuning kernels, sharding, and serving configurations for specific memory hierarchies and interconnects, and delivering production-ready performance. Share these insights to influence future TPU hardware and compiler roadmaps.
Implement model compression techniques - such as quantization and sparsity - to reduce the cost-per-token for production Gemini models. Evaluate new architectures, optimizers, and training methods to achieve target quality with reduced compute requirements.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

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.

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Skills

ML
Computer science
Software development
Research
Data analysis
Debugging
Machine learning
Industrial software
Artificial intelligence
Robotics
PyTorch
Scheduling
Recruitment

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