Jobs in the United States

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Added 8 mins 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 13 mins ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Education: Bachelor’s degree or Master’s degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related field.
Added 13 mins ago
Senior Machine Learning Data Pipeline Engineer
NVIDIA USA
CA
We are hiring a Senior Machine Learning Data Pipeline Engineer to invent and build the next generation of data pipelines for end-to-end autonomous driving foundation models. You will…
Added 41 mins ago
IC
Senior AI Software Development Engineer
Intel Corporation
OR · TX
- $133,410 to $240,710 USD / year
…largest AI and High-Performance Computing (HPC) workloads. As a Senior AI Software Development Engineer, you will architect, develop, and optimize the oneAPI Collective Communications…
Added 53 mins ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
…and resilience. As part of that vision, we’re looking for a Senior Backend Engineer to join our cloud team. You’ll lead the development and evolution of our data platform and API services,…
Added 2 hours ago
Principal Software Engineer - Robotics & Physical AI Simulation
Irving, TX
● Knowledge of perception, localization, planning, control, reinforcement learning, and autonomous-machine systems.
Added 2 hours ago
Senior Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…solutions. Preferred Qualifications 1. Experience leveraging AI, machine learning, generative AI, copilots, or intelligent automation platforms to improve IAM operations, identity…
Added 2 hours ago
Lead Engineer, IAM Platform Engineering
AmerisourceBergen
Conshohocken, PA
…operational scalability. 4. Evaluates and implements AI and machine learning capabilities within IAM processes to support intelligent access recommendations, anomaly detection, automated…
Added 2 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 2 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 2 hours ago
Applied AI Engineer Intern
Parspec
San Mateo, CA
As an intern, you’ll apply modern AI and machine learning techniques to concrete product problems, such as understanding product specifications, improving product recommendations, and…
Added 3 hours ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- U.S. citizenship or permanent resident status is required. Experience building data or machine learning pipelines is a plus.
Added 3 hours ago
AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 3 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
Lead multi-FDE engagement teams, directing Staff, Senior, and Engineer-level FDEs across concurrent engagements within assigned business units.
Added 3 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
You will lead the Forward Deployed Engineering function, with direct line management of the FDE team (Lead, Senior, and Forward Deployed Engineers in a flat reporting structure), setting…
Added 3 hours ago
Graduate Software Engineering Intern
Emerson
Round Rock, TX
You will explore and prototype software technology in the process industries, execute a project in AI, Machine Learning, or Control, be a part of a cross-functional team with frontend…
Added 3 hours ago
Human Factors Engineer (HFE)
The MITRE Corporation
San Antonio, TX
As a Senior HFE at MITRE, you will apply and expand your expertise across UX, UI, front-end engineering, and human-machine teaming while contributing to meaningful projects supporting…
Added 3 hours ago
A
Principal Software Engineering
AT&T
Dallas, TX
- $174,100 to $261,100 USD / year
Support development and deployment of AI and machine learning solutions.
Added 3 hours ago
Senior Machine Learning Engineer
Robert Half
Houston, TX
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the…
Added 4 hours ago
Senior Analytical Data Scientist
Satomic
San Diego, CA
Reports to: Senior Principal Machine Learning Engineer
Added 4 hours ago
I
Senior Machine Learning Engineer, Agentic Context Retrieval and Search (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead context retrieval and search. The goal is agent responses that are grounded in evidence, aware of the customer's context, and…
Added 4 hours ago
I
Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead evaluation and automatic optimization for Nova's models and agents. That means measuring how they perform, finding where they…
Added 4 hours ago
I
Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 4 hours ago
Principal Application Engineer- Missile Defense
Synopsys
USA Off-Site, CO
The synthetic datasets you generate will train machine learning models that improve threat detection and discrimination accuracy in operational systems
Added 4 hours ago
BD
Senior Staff ML Engineer, Spot
Boston Dynamics, Inc.
United States
- $175,000 to $215,000 USD / year
In this role, you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.

NVIDIA USA

Principal Site Reliability Engineer

CA, United States

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Job details

Experience: 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
Posting language: English
Posted: Nov 5, 2026

Original job description

Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.

As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.

What you’ll be doing:

Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.

What we need to see:

15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.

Ways to stand out from the crowd:

Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work creates new possibilities for exploration, creativity, and discovery, powering innovations that once belonged to science fiction - from artificial intelligence to autonomous vehicles. NVIDIA is looking for exceptional technical leaders like you to help architect the reliable platforms that will accelerate the next wave of artificial intelligence.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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