Jobs in the United States

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Added 17 mins ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance…
Added 23 mins 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 23 mins ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Serving as an AI Engineer on our AI Safety Engineering team, you will have a key and adaptable role in scaling methods to secure and align advanced AI systems. Your early work will center…
Added 23 mins 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 1 hour ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Kentro is hiring for a Sr. AI Solution Engineer to support secure cloud data and applied AI initiatives for government customers. You will build governed data pipelines, automate cloud and…
Added 1 hour ago
Software Integration Engineer, Autonomy
42dot
San Francisco
- 2-4 years of experience in systems or software engineering, with some exposure to ML inference, embedded systems, or real-time software
Added 1 hour ago
Sr. Calibration, Mapping & Localization Engineer
42dot
San Francisco
- Design and implement sensor calibration systems (camera, LiDAR, radar, IMU) for factory and in-field use
Added 1 hour ago
Sr. Software Integration Engineer, Autonomy
42dot
San Francisco
- 5+ years of experience in systems or software engineering, with meaningful time in ML inference, embedded systems, or real-time software
Added 1 hour ago
Calibration, Mapping & Localization Engineer
42dot
San Francisco
- Design and implement sensor calibration systems (camera, LiDAR, radar, IMU) for factory and in-field use
Added 1 hour ago
O
Principal Core Infrastructure Engineer
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
Oracle Cloud Infrastructure (OCI) is hiring a Principal Core Infrastructure Engineer to join the Next Gen Network Observability team. Help build cloud-scale intelligence systems that enable…
Added 2 hours ago
Principal Software Engineer - Agentic AI & Simulation Automation
Irving, TX
This Principal Engineer role is a hands-on technical leadership position responsible for architecture, critical implementation, engineering standards, cross-team alignment, and mentoring.
Added 2 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build - owning everything from backend services to LLM pipelines and front-end integrations. You partner with…
Added 2 hours ago
Systems Engineer
Mind Robotics
Palo Alto, CA
We're looking for a Systems Engineer to own the requirements and architecture baseline for the robot - from decomposing high-level behaviors into measurable, traceable specs, to making sure…
Added 3 hours ago
AI/ML Computational Science Associate Manager
Accenture LLP Company
United States
…production, and ensuring quality, value, and reliability of deployed…
Added 3 hours ago
Applied AI Engineer Intern
Parspec
San Mateo, CA
We’re seeking an Applied AI Engineer Intern to join Parspec. This role is part of the AI team and works closely with Product and Engineering on fast-moving, real-world applications of AI.
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
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 3 hours ago
AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)
Capital One
McLean, VA · San Francisco, CA · Cambridge, MA · San Jose, CA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 3 hours ago
Director, Full-Stack Engineer - AML (Anti Money Laundering)
Capital One
NY · McLean, VA · Cambridge, MA
As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 3 hours ago
A
Sr. Lead Application Developer
ADP
Roseland, NJ
- $107,400 to $264,300 USD / year
ADP Innovation Labs is looking for a Sr. Lead Software Engineer with extensive NodeJS experience to join an emerging team.
Added 3 hours ago
S
Software Engineer, Back-End - Go (NY)
Superhuman
New York, NY
- $154,000 to $258,000 USD / year
…where the intelligence lives. Our Back-End engineers build the systems that power AI agents across the entire product suite: the scheduling layer that manages getting all your agents to run…
Added 3 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
…disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation…
Added 3 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
…disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation…
Added 3 hours ago
Hardware Design Engineer Intern
Emerson
Round Rock, TX
…world’s most critical industrial processes? Emerson’s Process Systems and Solutions business develops automation products that power the energy and manufacturing industries. We are seeking…
Added 3 hours ago
Analytical Engineer
USAA
Plano, TX
Added 4 hours ago
Controls Engineer, Data Center Engineering
Apple
Dallas, TX
…experience? We are actively seeking a Data Center Controls Engineer who will thrive among a team of thinkers and doers, designing and deploying the integrated control systems that keep…

NVIDIA USA

Senior Deep Learning Software Infrastructure Engineer

CA, United States

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Job details

Experience: 12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure.
Posting language: English
Posted: Nov 6, 2026

Original job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology - and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. 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 infrastructure that make end-to-end autonomous driving models possible. By enabling training on thousands of GPUs and massive datasets, you will accelerate iteration speed and improve safety, working closely with research and platform teams across NVIDIA.

What you’ll be doing:

Crafting, scaling, and hardening deep learning infrastructure libraries and frameworks for training on multi-thousand GPU clusters.
Improving efficiency throughout the training stack: data loaders, distributed training, scheduling, and performance monitoring.
Building robust training pipelines and libraries to handle massive video datasets and enable rapid experimentation.
Collaborating with researchers, model engineers, and internal platform teams to enhance efficiency, minimize stalls, and improve training availability.
Owning core infrastructure components such as orchestration libraries, distributed training frameworks, and fault-resilient training systems.
Partnering with leadership to ensure infrastructure scales with growing GPU capacity and dataset size while maintaining developer efficiency and stability.

What we need to see:

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.
12+ years of professional experience building and scaling high-performance distributed systems, ideally in ML, HPC, or large-scale data infrastructure.
Extensive knowledge in deep learning frameworks (PyTorch is preferred), large scale training (DDP/FSDP, NCCL, tensor/pipeline parallelism), and performance profiling.
Strong systems background: datacenter networking (RoCE, IB), parallel filesystems (Lustre), storage systems, schedulers (Slurm, Kubernetes, etc.).
Proficiency in Python with experience writing production-grade libraries, orchestration layers, and automation tools.
Ability to work closely with multi-functional teams (ML researchers, infra engineers, product leads) and translate requirements into robust systems.

Ways to stand out from the crowd:

Shown experience scaling large GPU training clusters with >1,000 GPUs.
Expertise in fault resilience and high availability, including elastic training and large-scale observability.
Tried leadership skills as a hands-on technical authority, encouraging others and establishing guidelines for ML systems engineering.

#AutonomousVehicles

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 10, 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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