Jobs in the United States

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Google Cloud Engineer, Experienced Associate
PwC
Grand Rapids, MI · Detroit, MI
What You Must Have
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Google Cloud Engineer - Senior Associate
PwC
Grand Rapids, MI · Detroit, MI
What You Must Have
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Senior Associate, Azure AI Engineer
PwC
Grand Rapids, MI · Detroit, MI
What You Must Have
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AI Platform Engineer
INFOSYS NOVA HOLDINGS LLC
Irvine, CA
As an AI Platform Engineer, you will design, build, and operate the foundational components of an enterprise AI platform, enabling secure, scalable, and responsible development and…
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Senior Manager, Agentic AI Engineer
PwC
Grand Rapids, MI · Detroit, MI
What You Must Have
Added 12 mins ago
CI
Forward Deployment Engineer
Centillion Infotech LLC
Hartford, CT
- $75 to $80 USD / hour
Job Title: Forward Deployment Engineer (FDE) - AI
Added 55 mins ago
Staff Software Engineer, AI Data Safety
Google
Mountain View, CA
Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
Added 55 mins ago
P
Machine Learning Engineer - Reinforcement Learning
pony.ai
Fremont, CA
- $150,000 to $250,000 USD / year
Build scalable systems for training and fine-tuning large generative models that produce realistic, informative driving behaviors for evaluation and scenario coverage.
Added 1 hour ago
Senior AI/ML Engineer - Boston, MA
Kelly Services
Boston, MA
Experience building Generative AI, LLM, or NLP-based applications
Added 2 hours ago
Software Engineer III, AI/ML Recommendations, Rankings, Predictions
Google
Mountain View, CA
Experience integrating generative AI tools or LLM interfaces into workflows.
Added 2 hours ago
Senior Staff Software Engineer, Generative AI, Search Intelligence
Google
Mountain View, CA
…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…
Added 3 hours ago
Vice President, Go to Market
Eliza
Remote, United States
…organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to…
Added 3 hours ago
Agentic AI Engineer – Workflow Orchestration & Prompt Engineer
ManpowerGroup
Charlotte, NC
Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows.
Added 4 hours ago
Staff Software Engineer, Backend Infrastructure and Rapid Prototyping, Google Labs
Google
New York, NY · Cambridge, MA · Mountain View, CA
5 years of experience leading ML design, optimizing end-to-end ML (deployment, evaluation, tuning), and integrating generative AI tools or Large Language Model (LLM) interfaces.
Added 5 hours ago
Senior Staff Software Engineer, AI/ML Diagnostic Systems and Hardware Coverage
Google
Sunnyvale, CA
Experience building production machine learning systems, agentic architectures, LLM pipelines, or deep learning models applied to system telemetry.
Added 5 hours ago
Director, AI Security
J&J Family of Companies
Raritan, NJ
…cybersecurity risk across Johnson & Johnson. Capabilities span LLM model and harness security (including lifecycle management), agent security (including non-human identity), end-user AI…
Added 5 hours ago
Applied AI Lead Engineer for Banking Technology
Citigroup
Jersey City, NJ
Applied AI Lead Engineer, Banking Technology SVP (Hybrid)
Added 6 hours ago
A/AI Software & Systems Engineer Sr Stf
Lockheed Martin
Bethesda, MD
Demonstrated experience architecting and delivering AI-powered production systems - including deep hands-on work with LLMs, VLMs, and/or Generative AI
Added 6 hours ago
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Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
How machine learning, generative AI, LLM APIs, prompt-based workflows, retrieval patterns, AI agents, agentic workflows, and model evaluation can be applied to business problems.
Added 6 hours ago
A/AI Systems Engineer - E2
Lockheed Martin
Littleton, CO
Knowledge of LLMs, Generative AI, LLM Tool Calling, Model Context Protocol (MCP), RAG, Python (PyTorch, TensorFlow, scikit-learn, NumPy, Pandas), MLOps, NLP, Computer Vision, Reinforcement…
Added 7 hours ago
Test Engineer-AI/LLM
OPPO US Research Center
Palo Alto, CA
OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance,…
Added 7 hours ago
Forward Deployed Engineering & Applied AI Professionals
TDS Global Solutions
Remote, United States
Building and deploying AI, Generative AI, LLM, agentic AI, conversational AI, or Voice AI solutions
Added 7 hours ago
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Forward Deployed Engineer
Jobgether
Remote, United States
- $90,000 to $120,000 USD / year
Practical experience developing generative AI solutions using LLM APIs, AI agents, skills, or Model Context P
Added 7 hours ago
Junior AI Security Engineer/Pen Testing/Red Team
Kelly Services
Remote, United States
…next-generation AI-powered solutions, is seeking a Junior AI Security Engineer to join its growing security team. This is an exciting opportunity to work at the intersection of Application…
Added 7 hours ago
Senior Staff Software Engineer, Generative Retail Ad Formats and LLM Applications
Google
Mountain View, CA
Our full-stack engineering scope spans LLM content generation, evaluation, and serving, as well as system optimizations across the ads quality stack and backend-frontend integration.…

Google

Staff Software Engineer, Mobile and On-Device Agentic AI, XR

San Jose, CA, United States
San Francisco, CA, United States

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

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.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
Experience integrating generative AI tools or LLM interfaces into workflows.
5 years of experience with software engineering and large-scale or mobile/embedded ML/AI system architecture and development in C++, Kotlin/Java, Swift/Objective-C, or Python.
5 years of experience with mobile and on-device ML runtimes and frameworks (e.g., LiteRT/TFLite, AICore, MediaPipe, CoreML or cross-platform C++ runtimes) and hybrid on-device/cloud orchestration.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Exceptional cross-organizational influence and communication skills, with a proven ability to align technical strategy and execution across mobile platform (Android/iOS), research (GDM), infrastructure, product management, and hardware/device engineering teams.
Proven track record leading model and agent hillclimbing (e.g., SFT, RL, LoRA, quantization, prompt/System Instruction tuning, synthetic data generation) and systematic AI quality and performance hillclimbing (architecting automated evaluation frameworks, autoraters, on-device latency/power benchmarks, and end-to-end loss analysis pipelines).
Demonstrated technical leadership setting technical strategy, architecting foundational systems, and leading multiple engineers or cross-functional teams to deliver complex, ambiguous mobile AI, on-device ML, or agentic initiatives from conception to large-scale production across Android or iOS.

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.

Our team is at the forefront of building the next generation of wearable conversational AI. We are developing multimodal, agentic AI solutions across various XR devices, utilizing Gemini to create a unique, proactive, and trusted multimodal experience. By combining on-device intelligence with cloud-scale reasoning, this technology delivers instant, natural conversational and agentic intelligence directly to the user's eye, ear, and mobile device - operating seamlessly within real-world mobile and wearable system constraints.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.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

Learn more about benefits at Google.

Define the long-term technical solution and lead the architecture, development, and production deployment of scalable, low-latency, multi-turn agentic AI systems across XR devices paired to Android and iOS.
Drive the foundational evolution wearable AI and agentic tech stack.
Establish the technical direction and lead the architecture for integrating and optimizing on-device LLMs and multimodal models across Android and iOS platforms.
Pioneer, prototype, and productionize multimodal AI, agentic reasoning, device-native tool use, and OS/app integrations tailored to always-on streaming audio, video, and mobile context under strict latency and compute constraints.
Serve as the principal technical point of contact and bridge across XR, Mobile (Android and iOS), On-Device ML (ODML), and GDM teams.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; San Francisco, CA, USA.

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Jobs in the United States