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Added 1 min ago
Software Engineer II - Offboard Python Application
Latitude AI
Remote, United States
…framework. In terms of implementation, this involves a lot of Python coding, interacting with open source packages and various AWS/GCP services. In terms of analysis, we’re constantly…
Added 1 min ago
Analyst 1 Business Engineering - Enterprise Applications
Nissan North America, Inc. (NNA)
Farmington Hills, MI
· Create and maintain data analysis and reporting solutions using Python, Power BI, Excel, and related tools
Added 3 mins ago
Sr. Process Automation Engineer
Columbia Bank
Fair Lawn, NJ
…management businesses, we provide a broad range of financial solutions tailored to our customers’ needs. We are also committed to strengthening the communities we serve through employee…
Added 4 mins ago
Customer Delivery Architect (Remote)
Cisco
Research Triangle Park, NC
DevOps & Automation • Strong automation experience with Python and Linux tooling
Added 4 mins ago
C
Customer Experience Customer Success Specialist I (Full Time) United States
Cisco
Research Triangle Park, NC
- Full-time
Translate technical details into clear business outcomes, showing customers exactly how our solutions protect their investments.
Added 4 mins ago
Software Engineering Technical Leader - BackEnd
Cisco
Research Triangle Park, NC
…technical rigor, solving complex challenges leveraging AI/ML…
Added 5 mins ago
Software Engineering Technical Leader - Cisco IQ
Cisco
Research Triangle Park, NC
…to leveraging the latest advancements in AI to build robust solutions that solve complex technical challenges for our enterprise customers, fostering a culture of curiosity, collaboration,…
Added 5 mins ago
Hardware Engineer II Intern - United States
Cisco
Research Triangle Park, NC
…beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide…
Added 5 mins ago
Program Manager – Data Analytics and Process Improvement
Cisco
Research Triangle Park, NC
…data-driven insights. By implementing innovative analytical solutions, you will ensure our operational framework is both scalable and highly…
Added 5 mins ago
Confluent - Senior Security Engineer (Sr. AppSec)
IBM
RESEARCH TRIANGLE PARK, NC
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of…
Added 5 mins ago
Software Engineer - Product (Technical Leadership)
Meta
Raleigh, NC
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Added 5 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Raleigh, NC
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 5 mins ago
Lead Software Developer
Lumen
Raleigh, NC
As a Lead Software Developer, they design, develop, test, debug, and enhance software solutions of moderate complexity while collaborating across disciplines to bring ideas to life. They…
Added 5 mins ago
Tester (Remote)
GovCIO
Raleigh, NC
Added 5 mins ago
Full Stack Developer (Remote)
GovCIO
Raleigh, NC
A GovCIO Frontend Developer works inside a cross-functional product team with designers, backend developers, DevOps engineers, and test engineers. The developer builds and maintains modern…
Added 5 mins ago
AT
Software Engineer II
Akamai Technologies, Inc.
Raleigh, NC
- $95,000 to $171,000 USD / year
Are you a software developer who loves solving complex problems?
Added 5 mins ago
Security Engineer
Meta
Raleigh, NC
3+ years programming experience with at least one of the following languages: Python, PHP, Ruby, or similar scripting languages
Added 5 mins ago
Principal Software Engineer
Lyric
Raleigh, NC
…collaborating with cross-functional teams to deliver innovative solutions. By leveraging extensive technical expertise, the position will guide and mentor engineers, champion best…
Added 6 mins ago
Agentic AI Engineer, Senior
Deloitte
Charlotte, NC
2+ years of hands-on experience building AI/ML solutions using Python
Added 6 mins ago
Databricks Data Engineer
Deloitte
Charlotte, NC
Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
Added 6 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Charlotte, NC
…to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for…
Added 6 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Charlotte, NC
…to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for…
Added 6 mins ago
Senior Java Developer w/ Angular
Insight Global
Charlotte, NC
Insight Global is seeking a hands-on Senior Java Developer to design, develop, modernize, and support enterprise applications supporting Treasury, Risk, and Regulatory Reporting platforms…
Added 6 mins ago
Lead Integration Engineer II
Deloitte
Raleigh, NC · Charlotte, NC
…to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for…
Added 6 mins ago
Data Engineer II
Deloitte
Charlotte, NC · Raleigh, NC
…intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design…

Google

Principal Engineer, AI Ecosystem

Sunnyvale, CA, United States
Kirkland, WA, United States
Seattle, WA, United States

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Job details

Posting language: English

Original job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Minimum qualifications:

Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
15 years of experience in software engineering, focusing on technical innovation, large-scale systems operations, or engineering leadership.
10 years of experience working with distributed systems, ML/AI infrastructure, deep learning frameworks, or large-scale compute orchestration.

Preferred qualifications:

Master’s degree or PhD in Computer Science, Artificial Intelligence, High-Performance Computing, or a related field.
Experience operating at a company-wide or multi-organization level, driving technical direction that influences foundational systems.
Expertise in HPC, distributed workload schedulers (e.g. Slurm), and managing complex LLM training and inference workloads at massive scale.
Familiarity with cloud-native orchestration frameworks and an understanding of how to bridge traditional HPC methodologies with modern cloud infrastructure.
Ability to influence outside lines of formal authority, working effectively within highly matrixed environments to align technical and product strategies.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. GKE is the industry-leading managed Kubernetes service. As the originator and a large contributor to OSS Kubernetes, our team holds a unique structural position in the industry. Today, the rapid rise of AI and ML workloads is driving a massive paradigm shift, creating entirely new abstractions over Kubernetes and GKE. To lead this evolution, we are expanding our focus into adjacent projects throughout the OSS AI Infrastructure space. Our goal is to leverage our Kubernetes foundation to accelerate innovation globally, and to make GCP the undisputed best place to train and serve accelerated and agentic workloads, seamlessly supporting the frameworks and tools that AI practitioners rely on daily.

As Principal Engineer, you will be in a critical, high-impact individual contributor position within the GKE organization. You will utilize domain expertise in AI/ML frameworks to augment our technical leadership and build out the team's intuition for AI workloads. You will be the technical bridge between GKE's robust infrastructure and the rapidly evolving OSS AI ecosystem (e.g., Ray, Slurm, KubeFlow, PyTorch, NumPy, CUDA). By bringing deep empathy and technical understanding of the AI end-user, you will guide the architectural outlook that builds on and evolves Kubernetes and related projects. 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: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Enable massive scale so that ML engineers working primarily in Python can iterate locally and seamlessly scale to 1,000,000+ accelerators without needing to become experts in infrastructure.
Act as a proxy for the emerging AI/ML end-user persona, evolving the GKE team's intuition and empathy for real-world problems and opportunities within the AI workload lifecycle.
Drive the development and architectural outlook of a substrate optimized for Accelerated and Agentic Workloads.
Imagine, architect, and lead the technical execution of industry-defining standards through both direct, direct technical work and by mentoring and guiding teams of engineers.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA.

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Skills

Computer science
Leadership
ML
Deep learning
Artificial intelligence
Google Cloud
Kubernetes
Kubeflow
PyTorch
NumPy
Research
Python
Coaching

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