Jobs in the United States

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Added 6 mins ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 6 mins ago
C
Sr. GCP Data Engineer (Remote)
Cognizant
Phoenix, AZ
- $80,000 to $140,000 USD / year
Monitor pipeline health, performance, and cost across ingestion, profiling, and graph-load jobs.
Added 12 mins ago
Data Engineer (BigQuery)
Northramp LLC
Washington, DC
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 12 mins ago
Data Engineer (BigQuery)
Northramp LLC
Reston, VA
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 12 mins ago
Data Engineer (BigQuery)
Northramp LLC
Bethesda, MD
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 12 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 12 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 12 mins ago
Software Engineer (AI Agents)
Fluent, LLC
NY · New York, NY
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 12 mins ago
Applied AI Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 12 mins ago
Applied AI Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 34 mins ago
M
Software Engineer II
Microsoft
CA · Mountain View, CA · Mountain View
- $102,100 to $219,200 USD / year
We are looking for a Software Engineer II to join our team. Our Global Secure Access Datapath team builds cutting-edge network security solutions that enable enterprises to protect their…
Added 57 mins ago
M
Principal Software Engineer
Microsoft
WA · NY · CA · Redmond, WA · Mountain View, CA · Sunnyvale, CA · Redmond · New York · Mountain View · Sunnyvale
- $142,800 to $304,200 USD / year
As a Principal Software Engineer, on the Substrate Application Platform team, you will help build the next generation platform for internal and external developers and agents to access M365…
Added 1 hour ago
EG
Senior AI Engineer
Eliassen Group
Aberdeen Proving Ground, MD
- $80 to $90 USD / hour
Our client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, analytics solutions, and automation workflows that drive Army readiness…
Added 1 hour ago
Senior Staff AI / ML Solutions Engineer
ThermoFisher Scientific
Morrisville, NC
We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on…
Added 1 hour ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
Are you looking to develop your Machine Learning Engineer career?
Added 2 hours ago
Enterprise Architecture Manager, Senior Vice President
Citigroup
Irving, TX
…structural impact assessments on core operating platforms to engineer proactive systemic…
Added 2 hours ago
Customer Engineer I, AI Infrastructure, Google Cloud
Google
Austin, TX · Addison, TX
Share Customer Engineer I, AI Infrastructure, Google Cloud
Added 2 hours ago
C
Research Engineer - Data Eval
Calder
Redwood City, CA
- $199,000 to $483,000 USD / year
…collection, curation, and labeling choices actually affect downstream performance, and how we compare to public…
Added 3 hours ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Brings substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying…
Added 3 hours ago
Senior System Software Engineer, DGX Cloud AI Infrastructure
NVIDIA USA
CA
We’re looking for a Senior Software Engineer for the NVIDIA Recovery and Resilience team. You’ll own our AI infrastructure services, tools and open-source projects to support resilient and…
Added 3 hours ago
Senior Deep Learning Software Infrastructure Engineer
NVIDIA USA
CA
…We are in search of a Deep Learning Software Infrastructure Engineer to propel NVIDIA’s Autonomous Vehicles project forward. In this role, you will build and scale training libraries and…
Added 4 hours ago
Software Integration Engineer, Autonomy
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 4 hours ago
Sr. Calibration, Mapping & Localization Engineer
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 4 hours ago
Sr. Software Integration Engineer, Autonomy
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…
Added 4 hours ago
Calibration, Mapping & Localization Engineer
42dot
San Francisco
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI…

Google

Senior Staff Software Engineer, AI/ML, Google Cloud Compute Infrastructure

Sunnyvale, 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.

Minimum qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent practical experience.
8 years of experience in software development, systems engineering, or hardware/software co-design.
5 years of experience with machine learning systems, architecture, performance modeling, or simulation frameworks.
Experience with ML frameworks (e.g., JAX, PyTorch, TensorFlow) and large language model (LLM) inference or training workloads.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in a technical leadership role leading project teams and setting technical direction
Experience driving multi-generational hardware/software co-design or performance optimizations for massive-scale ML inference and training.
Experience with accelerator programming, ML compilers, and deep learning execution models.
Experience analyzing system-level performance across compute, memory, interconnects, and packaging trajectories.

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will bridge the gap between model architecture innovation and next-generation hardware design. Operating at the intersection of cutting-edge AI research and infrastructure engineering, you will define the long-term strategic goal and architectural roadmap for the future machine learning training and serving capabilities. You will lead the integration of foundational ML research with advanced architectures to deliver industry-defining, high-performance, and power-efficient accelerators. 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Lead the technical goal, roadmap, and software architecture for hardware/software co-design, optimizing large-scale ML inference and training systems.
Design, develop, and oversee simulation frameworks, cycle-accurate performance models, and system analysis tools to evaluate architectural trade-offs.
Architect scalable software solutions, kernels, and execution pipelines that bridge frontier ML model architectures with next-generation custom silicon accelerators.
Drive system-level performance optimization across distributed ML infrastructure, balancing compute, memory bandwidth, and inter-chip networking requirements.
Provide technical leadership and mentorship across hardware, compiler, and ML research teams to align on goals and transition co-design innovations into production.

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More about this job

Skills

ML
Google Cloud
Computer science
Computer engineering
Electrical engineering
Software development
Machine learning
PyTorch
TensorFlow
Deep learning
Packaging
Design hardware
Research
Leadership

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