Jobs in the United States

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Added 2 hours ago
ECAD Application Development Engineer, Design Technologies
Amazon
Sunnyvale, CA
…builds and provides engineering tools and workflows, software systems and integrations, automations, and design services to hardware engineering teams across Amazon. We manage enterprise…
Added 4 hours ago
Principal Software Engineer, E2E Performance and Goodput - CSP Engagements
NVIDIA USA
Remote, United States
15+ years of experience in systems performance engineering, ideally in GPU/HPC/ML infrastructure. BS or MS in Computer Science, Computer Engineering, or related field (or equivalent…
Added 9 hours ago
Sr. Computational Scientist/Engr.
Triton Systems, Inc.
Chelmsford, MA
We are seeking a Senior Computational Scientist / Engineer to provide technical leadership on research and development efforts within our Applied Computational Engineering group. This role…
Added 13 hours ago
Low Latency Trading Infrastructure Engineer
Citigroup
Jacksonville, FL
The Low Latency Trading Infrastructure Engineer is a rare combination of deep technical specialist and mission-critical operator - a professional whose expertise sits at the intersection of…
Added 13 hours ago
M
Principal Software Engineer
Microsoft
United States
- $165,600 to $331,200 USD / year
The HPC/AI (High Performance Computing and Artificial Intelligence) team is building the infrastructure that powers large-scale AI training and inference. As supercomputers grow across…
Added 14 hours ago
Engineer IV
Astrion
Redstone Arsenal, AL
…development, test and evaluation in support of military equipment and systems. Areas of specialization may include electromagnetics, electro-optics, optical sciences, electronic circuits,…
Added 15 hours ago
Public Cloud Network – Security Engineer - VP
Citigroup
Irving, TX
Are you a talented Public Cloud Network – Security Engineer looking for their next challenge? Do you have a passion for building cutting-edge enterprise products and a hands-on approach to…
Added 16 hours ago
Senior Deep Learning Software Infrastructure Engineer
NVIDIA USA
CA
12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure.
Added 16 hours ago
Senior Software Support Engineer - Slinky
NVIDIA USA
Remote, United States
We are seeking an expert Senior Support Engineer with a strong background in Kubernetes, Linux systems administration, and technical support. This hybrid role is primarily focused on…
Added 17 hours ago
IC
Senior AI Software Development Engineer
Intel Corporation
OR · TX
- $133,410 to $240,710 USD / year
…powering the world's largest AI and High-Performance Computing (HPC) workloads. As a Senior AI Software Development Engineer, you will architect, develop, and optimize the oneAPI Collective…
Added 18 hours ago
Technical Services Engineer
Simr
Remote, United States
Responsibilities include giving support on ongoing deployment processes, applying technical skills in Linux systems, cloud infrastructure, and scripting to assist with environment…
Added 18 hours ago
Principal Software Engineer - Simulation Data, Validation & Infrastructure
Irving, TX
● Experience with APIs, distributed systems, containers, automated testing, CI/CD, source control, and observability. Principal Engineer Job Description Page 3
Added 19 hours ago
AI/ML Computational Science Associate Manager
Accenture LLP Company
United States
…production, and ensuring quality, value, and reliability of deployed…
Added 19 hours ago
PI
Senior Principal AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $139,100 to $231,900 USD / year
As a Senior Principal AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists…
Added 19 hours ago
PI
Senior AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $106,000 to $176,600 USD / year
As a Senior AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.
Added 19 hours ago
Director, Full-Stack Engineer - AML (Anti Money Laundering)
Capital One
NY · McLean, VA · Cambridge, MA
Designing and building distributed HPC and ML systems
Added 19 hours ago
Help Desk Engineer I
SAIC
Princeton, NJ
…help manage the operation of the supercomputer, associated systems, and support the user's computer systems in a heterogeneous environment. Activities will include the monitoring of batch…
Added 20 hours ago
AI / Simulation Principal Engineer - Computational Fluid Dynamics
UL, LLC
Austin, TX
We are seeking a Principal Engineer – CFD Simulation Engineering to join our team. The ideal candidate will be a highly experienced technical leader with deep expertise in physics-based…
Added 20 hours ago
ECAD Application Engineer, Design Technologies
Amazon.com Services LLC
Sunnyvale, CA · Redmond, WA
…builds and provides engineering tools and workflows, software systems and integrations, automations, and design services to hardware engineering teams across Amazon. We manage enterprise…
Added 21 hours ago
Application Engineer
Advantest
San Jose, CA
We are seeking a highly skilled and motivated Senior Applications Engineer to provide technical leadership and support for Advantest’s V93000 Semiconductor Test Systems. In this role, you…
Added 22 hours ago
Senior Bioinformatics Software Engineer
Baylor Genetics
Remote, United States
The Senior Bioinformatics (BI) Software Engineer holds a critical technical role, responsible for designing, developing, and maintaining scalable and efficient software solutions for Baylor…
Added 22 hours ago
Science & Technology - HPC DevOps Engineer Intern - Summer 2027
Corning
Corning, NY
The HPC DevOps Engineer Intern will support the development and maturation of cloud-bursting capabilities for the organization’s HPC environment. The intern will help build and refine…
Added 23 hours ago
AI
Network and Security Engineer, Defense
Applied Intuition
Sunnyvale, CA
- $150,000 to $200,000 USD / year
We are looking for a Network and Security Engineer to own the architecture of high-performance, high-assurance networks for our defense programs. You will design networks that move terabits…
Added 23 hours ago
K
Linux/HPC Systems EDA Engineer (Semiconductor)
Kforce
Chandler, AZ
- $140,000 to $180,000 USD / year
…the Chandler, AZ area is seeking an experienced Senior Linux Systems Administrator/HPC Infrastructure Engineer to support a high-performance computing environment used for semiconductor…
Added 23 hours ago
MTS Software System Design Engineer
Advanced Micro Devices, Inc
Austin, TX
…Design Eng. to Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations, applying principles and…

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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