Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 5 mins ago
LR
Senior QA Tester
Levi, Ray & Shoup, Inc.
Waukesha, WI
- $60 to $70 USD / hour
Codeworks, an LRS company, is seeking a Senior Test Engineer to support the verification and validation of advanced CT Scanner software and imaging technologies. This role is ideal for a…
Added 5 mins ago
LR
Software Engineer
Levi, Ray & Shoup, Inc.
Waukesha, WI
- $50 to $65 USD / hour
Codeworks, an LRS company, is seeking a Software Engineer to support the development of next-generation technology. This contract role is ideal for an early-career software engineer who…
Added 6 mins ago
Product Content Engineer
Meta
Madison, WI
…experiences actually work for people.We're looking for a Content Engineer who will partner with Meta’s agent tooling team to define model quality standards and target behaviors for Meta’s…
Added 6 mins ago
Software Engineer, Multimedia & Multimodal AI
Meta
Madison, WI
…trained and judged against.About the roleWe are hiring a senior engineer to lead this work end to end. You will take a modality or a capability area, decide what data is worth producing and…
Added 6 mins ago
C
Senior Healthcare Payer Claims QA Engineer
Cognizant
Madison, WI
- $90,000 to $112,500 USD / year
As a Senior Quality Engineer - Healthcare Claims Testing , you will make an impact by ensuring the quality, accuracy, and reliability of healthcare payer claims processing solutions through…
Added 6 mins ago
AI Engineer – Agentic AI & Applied Generative AI- Senior Associate
PwC
Milwaukee, WI
What You Must Have
Added 6 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Madison, WI
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Salem, OR
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
TT
Senior Software Engineer, Customer Studio Backend
True Talent Solutions Partners
Remote, United States
- $180,000 to $320,000 USD / year
- Investigate ways generative AI can make customer workflows for acting on data more seamless.
Added 1 hour ago
A/AI Machine Learning Engineer
Lockheed Martin
Manassas, VA
Development and integration of Generative AI tools into tactical and development systems
Added 1 hour ago
Software Development Engineer III, AFX Planning Tools
Amazon
Herndon, VA
…millions of customers? We are looking for a Software Development Engineer III to join our team at Amazon and help shape the technical direction of critical software systems. In this role,…
Added 1 hour ago
Data Engineer 4 (Risk Tech)
Capital One
McLean, VA · Richmond, VA
Experience preparing unstructured text, logs, or document datasets for Generative AI workflows, such text chunking and automated feature extraction
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Richmond, VA
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
AIML - Sr. LLM Inference Quality Engineer
Apple
Seattle, WA
…model (LLM) services at scale. We are looking for a senior engineer to own the correctness, consistency, and stability of LLM inference in production. You will design and build the…
Added 2 hours ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Salt Lake City, UT
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Oklahoma City, OK
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
C
Senior Healthcare Payer Claims QA Engineer
Cognizant
Washington, DC
- $90,000 to $112,500 USD / year
As a Senior Quality Engineer - Healthcare Claims Testing , you will make an impact by ensuring the quality, accuracy, and reliability of healthcare payer claims processing solutions through…
Added 2 hours ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Washington, DC
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
PN
Data Scientist (Nuclear Physics)
Pacific Northwest National Laboratory
Richland, WA
- $114,000 USD / year
Build useful scientific datasets. Develop labeling strategies, engineer features, and prepare measurement data for reproducible training and evaluation.
Added 2 hours ago
KS
Firmware Validation Engineer I
Kelly Services
Rancho Cordova, CA
- $40 USD / hour
Must have knowledge of SSD architecture, storage technologies, or storage device validation
Added 2 hours ago
Full Stack Software Engineer
Amgen
Thousand Oaks, CA
Experience building or integrating applications with generative AI, LLMs, agentic workflows, RAG patterns, or AI orchestration frameworks.
Added 2 hours ago
Software Engineer
Amgen
Thousand Oaks, CA
Experience building or integrating applications with generative AI, LLMs, agentic workflows, RAG patterns, or AI orchestration frameworks.
Added 2 hours ago
Software Development Engineer, Creative Advertiser Experience, CreativeX
Amazon
Santa Monica, CA
…address real needs while evaluating opportunities to leverage generative artificial intelligence tools where…
Added 2 hours ago
Software Engineer, DevAI
Google
San Jose, CA
2 years of experience working with Generative AI.
Added 2 hours ago
Data Engineer Intern
Coinbase
San Francisco, CA
As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across…

Closed listing

ML Ops DSX Senior Engineer

CA, United States
WA, United States

The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Posting language: English
Posted: Oct 30, 2026

Similar jobs hiring now

No close matches right now. Try another title or a wider area.

Search current openings

Original job description

Archived listing. The details below describe a past opening.

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems.

What you will be doing:

In this role, you will develop innovative solutions that advance AI infrastructure capabilities. You will directly influence customer success with breakthrough AI initiatives.

Build and deploy custom AI solutions on NCP and Neo Cloud platforms, including distributed training, inference optimization, and MLOps pipelines constructed on NVIDIA reference architectures.
Act as the main technical contact for strategic NCPs, offer remote and on-site support, troubleshoot complex production problems, and guide partner engineering teams on NVIDIA platform guidelines.
Deploy and manage AI workloads across DGX Cloud, NCP data centers, and major CSP environments using Kubernetes, containers, and GPU scheduling systems aligned to NCP builds.
Profile and tune large-scale training and inference workloads on NCP platforms. Implement observability and SLO/SLA monitoring. Lead detailed efforts to reduce latency, cost, and operational risk.
Implement and expand NVIDIA reference architectures on partner platforms, develop integrations with partner control planes and customer environments, and ensure smooth API, data pipeline, and enterprise software connectivity.
Build detailed implementation guides, runbooks, and post‑mortem documentation that codify standard methodologies for running NVIDIA AI workloads at scale on NCP platforms.

What we need to see:

BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
8+ years of experience in customer facing technical roles such as Solutions Engineering, DevOps, Site Reliability, or ML Infrastructure Engineering, ideally supporting large‑scale cloud or service provider environments.
Strong expertise in Linux systems, distributed computing, Kubernetes, containers, and GPU scheduling on multi-tenant or service-provider platforms.
Demonstrated AI/ML experience supporting large‑scale training and inference workloads (e.g., LLMs, generative models, recommendation systems) in production or critically important environments.
Solid programming skills in Python/Go, with hands‑on experience using frameworks such as PyTorch or TensorFlow for training and serving.
Demonstrated capability to collaborate with customer and partner engineering teams in fast-paced environments, guide intricate technical investigations, and bring issues to root cause and resolution.
Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade‑offs, and recommendations to both engineering and leadership audiences.

Ways to stand out from the crowd:

Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, Triton, NIM, and NVIDIA networking technologies such as InfiniBand and RoCE.
Direct experience collaborating with NVIDIA Cloud Partners, hyperscale CSPs, or managed AI cloud platforms, including implementation of NVIDIA reference architectures for AI infrastructure.
Deep familiarity with MLOps and cloud‑native practices: containerization, CI/CD pipelines, observability stacks (Prometheus, Grafana, OpenTelemetry), and GitOps workflows.
Background in infrastructure as code (Terraform, Ansible, or similar) for repeatable deployment and configuration of GPU‑accelerated clusters and NCP building blocks.

NVIDIA offers competitive salaries and a generous benefits package. It is recognized as one of the technology world’s most desirable employers. We have some of the most innovative and dedicated people working here. Due to rapid growth, our outstanding teams are expanding quickly. Join us to make a lasting impact on the world!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

About employer

More about this job

Skills

ML
Troubleshoot
Kubernetes
Scheduling
Documentation
Computer science
Electrical engineering
DevOps
Linux
Distributed computing
Python
Go
PyTorch
TensorFlow
Communication skills
Presentation skills
Leadership
CI/CD
Prometheus
Grafana
Infrastructure as code
IBM Terraform
Ansible

Report this job

Work requirements

Jobs in the United States