Software Engineer, Agentic Model Serving, Robotics, DeepMind

Responsibilities

Architect and optimize full-stack model serving solutions for robotics, spanning on-robot runtimes to cloud infrastructure. Conduct end-to-end performance analysis and collaborate with research and engineering teams to deploy scalable robotics foundation models.

Requirements

Requires a bachelor's or advanced degree and at least 4 years of software development experience. Candidates must have experience with LLMs/VLMs, machine learning frameworks like JAX or TensorFlow, and optimizing model inference on hardware accelerators.

Skills

• Software Development
• Large Language Models
• Vision-Language Models
• JAX
• TensorFlow
• Python
• C++
• Distributed Systems
• Machine Learning Infrastructure
• Robotics
• Model Serving
• Performance Optimization
• Edge Computing
• Cloud Computing
• System Design
• Security

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

* Bachelor's degree or an advanced degree.
* 4 years of experience in software development.
* Experience working with Large Language Models (LLMs) or Vision-Language
Models (VLMs) in a production environment.
* Experience optimizing model performance for inference on hardware
accelerators (e.g., TPUs and GPUs).
* Experience with machine learning frameworks, particularly JAX or TensorFlow,
on inference and serving.

PREFERRED QUALIFICATIONS:

* Experience developing and integrating Google’s production model serving
solutions like Beyond and Uniserve.
* Experience integrating security best practices directly into ML
infrastructure.
* Expertise in building, profiling, and optimizing complex, highly available,
and secure software systems for end-to-end performance.
* Familiarity with robotics software stacks and demonstrated experience taking
complex technical features from initial design through to production
deployment.
* Strong, proven programming skills in Python and C++.

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.

As a Software Engineer focusing on agentic robotics systems and model serving,
you will bridge the gap between cutting-edge AI research and robust production
systems by architecting and optimizing the full runtime stack—from on-robot
harnesses and real-time control interfaces to edge and cloud serving
infrastructure. You will build reliable, low-latency, and scalable solutions for
real-world robotics applications, accelerating research initiatives and industry
partnerships.

You will thrive at the intersection of machine learning infrastructure,
distributed systems, and robotics, managing complex end-to-end challenges from
co-designing on-robot execution and bidirectional streaming pipelines to
optimizing and scaling foundation model inference across edge and cloud
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 about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Architect highly reliable and scalable full-stack model serving and
deployment solutions spanning on-robot runtimes, local edge compute, and
cloud backend systems (such as Beyond and Uniserve) customizing for stateful
bidirectional streaming, multi-rate agentic control loops, and fast model
hot-swapping in real-world robotics deployments.
* Conduct end-to-end performance analysis, profiling, and optimization across
the entire sensory-to-action loop, from on-robot sensor ingestion, transport,
and real-time execution handoffs to KV-cache management, graph compilation,
and accelerator inference for cutting-edge robotics foundation models.
* Partner closely with research scientists, hardware/control engineers, and
organizational partner teams to co-design agentic harnesses, streaming APIs,
and closed-loop deployment workflows that provide flexibility and reliability
across various robotics applications.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA