1,822,460open jobs
104,694companies
274,089added this week
Browse all
Salary
$184k – $288k per year
Location
In office (Santa Clara, United States, Austin, Redmond)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 16, 2026. NVIDIA scores B on the Alion truth index.

Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

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 looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.

What you'll be doing:

  • Design, build and optimize agentic AI systems for the CUDA ecosystem.
  • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
  • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
  • Collaborate across the AI stack-from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving-and with model/agent teams.

What we need to see:

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
  • 8+ years of industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
  • Strong C/C++ and Python programming skills; solid software engineering fundamentals.
  • Experience with GPU programming and performance optimization (CUDA or equivalent).

Ways To Stand Out From The Crowd:

  • Track record building/evaluating deep learning models, coding agents and developer tooling.
  • Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.
  • Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results.
  • Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 October 20, 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.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,822,460 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Santa Clara
$132k – $179k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bellevue
Analytics
Microsoft Excel
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Bellevue
Python
Java
SQL
C++
C++
PyTorch C++
AI/ML
Jupyter Notebook
XGBoost
Transformers
PyTorch
LLM
BERT
Machine Learning
DevOps
Linux
Unix
Management
Agile
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Bellevue
Python
Java
C++
AI/ML
Fine-tuning
Computer Vision
Self-Supervised Learning
Machine Learning
Apply
$172k – $222k per year • Equity • In office • Full-Time • 2+ years exp • Master's Degree • Sunnyvale
Python
Java
C++
Perl
AI/ML
Fine-tuning
Multimodal AI
Computer Vision
Machine Learning
DevOps
Linux
Unix
Robotics
Perception
Imitation Learning
Apply
$184k – $249k per year • Equity • In office • Full-Time • 6+ years exp • Master's Degree • New York
Python
Java
C++
AI/ML
Human-in-the-Loop
Embodied AI
Machine Learning
Robotics
Teleoperation
Apply
$103k – $155k per year • In office • Full-Time • Bachelor's Degree • Santa Monica
Python
C++
Design
Fusion 360
AutoCAD
Apply
$119k – $178k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Seattle
Python
AI/ML
Diffusion Models
AI Agents
Ray
Agentic Workflows
Machine Learning
Apply
≈ $29k – $76k per year (Estimated) • In office • Budapest
Python
Java
SQL
PowerShell
Assembly
Bash
Databases
Oracle
DevOps
Ansible
Rancher
Kubernetes
SLI/SLO/SLA
Linux
Cybersecurity
Active Directory
Management
ITIL
Apply
In office • Full-Time
AI/ML
Claude
AI Agents
Marketing
Salesforce
Apply
Hybrid • Bachelor's Degree • Södertälje
Python
SQL
SAS
Databases
Snowflake
AI/ML
Machine Learning
DevOps
Azure
Analytics
Power BI
SSAS
Apply
$224k – $357k per year • In office • Full-Time • 12+ years exp • PhD • Santa Clara
Python
C++
C++
PyTorch C++
AI/ML
Multimodal AI
Transformers
PyTorch
Apply
$152k – $242k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Austin • Redmond • Santa Clara
C++
Fortran
C++
OpenGL
LLVM
DirectX
AI/ML
CUDA Toolkit
OpenCL
CUDA
Apply
$272k – $431k per year • In office • Full-Time • 15+ years exp • Bachelor's Degree • Santa Clara • Redmond
Python
AI/ML
JAX
PyTorch
FSDP
NVIDIA NeMo
InfiniBand
DevOps
GCP
SLURM
Azure
AWS
Docker
Kubernetes
HPC
Apply
$224k – $357k per year • In office • Full-Time • 8+ years exp • PhD • Santa Clara
C++
AI/ML
CUDA Toolkit
Multimodal AI
Diffusion Models
VLM
TensorRT
OpenMP
Transformers
CUDA
Triton
MLIR
Apache TVM
XLA
Physical AI
DevOps
Linux
Apply
≈ $219k – $447k per year (Estimated) • In office • Full-Time • 12+ years exp • Bachelor's Degree • Santa Clara
Python
AI/ML
Reinforcement Learning
AI Agents
SFT
Post-training
Reward Modeling
Robotics
Reinforcement Learning
Apply
$172k – $222k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Santa Clara
Python
Java
C++
AI/ML
Machine Learning
DevOps
Linux
Unix
Apply
$192k – $260k per year • Equity • In office • Full-Time • 6+ years exp • Master's Degree • Santa Clara
Python
Java
C++
C++
TensorFlow C++
AI/ML
Hadoop
Spark
Scikit-learn
SciPy
TensorFlow
NumPy
Human-in-the-Loop
Machine Learning
Apply
$192k – $260k per year • Equity • Hybrid • Full-Time • 6+ years exp • Master's Degree • Santa Clara
Python
Java
C++
AI/ML
RLHF
Knowledge Distillation
Gymnasium
Post-training
LLM Evaluation
Model Distillation
RLAIF
Machine Learning
DevOps
CI/CD
AWS
Amazon EC2
Amazon S3
Apply
$172k – $222k per year • Equity • In office • Full-Time • PhD • Santa Clara
Python
Java
C++
Databases
Databricks
AI/ML
TensorFlow
Anthropic
AWS Trainium
Machine Learning
DevOps
AWS
Linux
Unix
Apply
$172k – $222k per year • Equity • Hybrid • Full-Time • 4+ years exp • Master's Degree • Santa Clara
Python
Java
C++
AI/ML
Machine Learning
DevOps
AWS
Amazon EC2
Amazon S3
Linux
Unix
Apply
See all jobs
This is one of many
1,822,460 more open roles from verified company boards, updated every day.