Jobs in the United States

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Added 6 hours ago
Technical Program Manager III, Technical Infrastructure, Cloud Systems
Google
Sunnyvale, CA
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Added 12 hours ago
Senior Systems Administrator
ASRC Federal
KS
Summary: The successful candidate will be an active supporting member of the ASRC Federal team. The HPC Systems Engineer/Administrator is responsible for the administration, maintenance,…
Added 8 days ago
L
Senior Product Security Engineer
Lambda
San Francisco, CA · Bellevue, WA
- $296,000 to $395,000 USD / year
…software our customers use every day. Reporting to the Senior Manager of Security, you'll join a team spanning infrastructure security and application security, owning security outcomes for…
Added 10 days ago
Senior Manager, Endpoint Protections
Elastic
United States
…Defend, our endpoint and SIEM security solution. We work in kernel and user mode across Windows, macOS, and Linux, against adversaries who study how to defeat what we build. Our work…
Added 17 days ago
R
Technical Program Manager
RadixArk
Palo Alto, CA
- $160,000 to $300,000 USD / year
As a Technical Program Manager at RadixArk, you'll drive the execution of complex, cross-functional programs across our inference and training infrastructure. You'll partner closely with…
Added 21 days ago
Technical Program Manager, ML Systems Software
Google
Sunnyvale, CA
…everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start…
Added 24 days ago
Technical Program Manager, AI2, TPU Software
Google
Sunnyvale, CA
The Core ML Program Management Office (PMO) is looking for a strong Technical Program Manager (TPM) to drive the strategy and execution for the TPU ecosystem, scaling production-grade…
Added 26 days ago
Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027
Qualcomm Incorporated
Bridgewater, NJ
As a Machine Learning / AI Engineering Intern, you will help build best-in-class solutions and tools that enable state-of-the-art technologies for next-generation mobile and embedded…
Added 27 days ago
FY27 Intern - Automotive Engineering Internship - Canada (16 months)
Qualcomm Canada ULC
ON, CA
Contribute to development, debugging and maintenance of audio middleware services, hardware abstraction layer and userspace/kernel drivers across various OS (Android, Linux, QNX)
Added 1 month ago
Senior ML Accelerator Engineer - GPU
General Motors LLC
Remote, United States
…technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility. For the AI Kernels & Compilers team, that…
Added 1 month ago
Senior AI/ML Capacity Performance Engineer
General Motors LLC
Remote, United States
Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.

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Google

Technical Program Manager, AI2, TPU Software

Sunnyvale, CA, United States

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Job details

Experience: 8 years of experience in program management.
Posting language: English

Original job description

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
Experience with artificial intelligence/machine learning projects, tools, or infrastructure.

Preferred qualifications:

8 years of experience managing cross-functional or cross-team projects.
Experience with Jax and PyTorch frameworks, OSS models like Qwen and GLM, and inference stacks like vLLM and SGLang.
Experience running production facing large scale software programs.

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The Core ML Program Management Office (PMO) is looking for a strong Technical Program Manager (TPM) to drive the strategy and execution for the TPU ecosystem, scaling production-grade inference and training infrastructure across Jax and PyTorch frameworks. You will lead efforts to establish price-performance and total cost of ownership leadership for frontier AI models. Your work will focus on qualifying next-generation TPU hardware, advancing distributed orchestration for agentic workloads and tiered KV-cache management, and expanding support into multimodal, diffusion, physical AI, and world models. Additionally, you will foster developer velocity by automating model onboarding pipelines and optimizing specialized kernel libraries. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Develop and execute end-to-end program strategies for complex ML infrastructure, covering scope, resource planning, risk management, and roadmap delivery.
Partner with cross-functional engineering, product, and research teams to define technical milestones and prioritize key platform capabilities.
Drive execution across workstreams, proactively identifying dependencies, mitigating risks, and maintaining alignment on schedules and critical path items.
Provide clear, concise updates and strategic recommendations to leadership and executive stakeholders to align on technical priorities and decisions.
Ensure production readiness and quality standards for hardware/software deployments, supporting large-scale developer adoption and workload efficiency.

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Jobs in the United States