Top 994 NVIDIA Jobs | SimplyHired

AI and FSI Developer Technology Engineer - New College Grad 2026
NVIDIA —New York, NY
- $124,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- System design
SoC ASIC Verification Engineer – New College Grad 2026
NVIDIA —Santa Clara, CA
- $100,000 - $189,750 a year
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Compiler Engineer - Smart Network Devices- New College Grad 2026
NVIDIA —Santa Clara, CA
- $108,000 - $195,500 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
10d
Developer Advocate – Distributed Training
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Verification Engineer - New College Grad 2026
NVIDIA —Austin, TX
- $100,000 - $189,750 a year
- Full-time
- Master's degree
- Analysis skills
- Experience equivalent to degree accepted
GPU System and Scheduling Architect - New College Grad 2026
NVIDIA —Santa Clara, CA
- $108,000 - $195,500 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
System Design Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $92,000 - $184,000 a year
- Full-time
- Bachelor of Science
- System design
- Windows
ASIC Clocks Verification Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $116,000 - $218,500 a year
- Full-time
- Hybrid work
- Mid-level
- Master's degree
- Experience equivalent to degree accepted
ASIC Verification Engineer - New College Grad 2026
NVIDIA —Austin, TX
- $100,000 - $189,750 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Senior Business Systems Analyst, SAP IBP
NVIDIA —Santa Clara, CA
- $168,000 - $310,500 a year
- Full-time
- Computer science
- Computer Science
- 11+ years
Senior Logistics Analyst
NVIDIA —Santa Clara, CA
- $148,000 - $235,750 a year
- Full-time
- 5 years
- Product management
- Contracts
Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS
NVIDIA —Remote
- Full-time
- Computer Science
- Bachelor of Science
- System design
DFT Engineer - New College Grad
NVIDIA —Santa Clara, CA
- $116,000 - $218,500 a year
- Full-time
- CAD
- Analysis skills
- Mentoring
Power Architect - New College Grad 2026
NVIDIA —Austin, TX
- $116,000 - $218,500 a year
- Full-time
- Doctor of Philosophy
- Electrical Engineering
- Entry level
GPU Performance Engineer - Neural Reconstruction
NVIDIA —St. Louis, MO
- $224,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- 11+ years
Cell Modeling and Verification Engineer - New College Grad 2026
NVIDIA —Santa Clara, CA
- $100,000 - $189,750 a year
- Full-time
- Mid-level
- Master's degree
- Electrical Engineering
Senior SoC Subsystem and I/O Architect - LPU
NVIDIA —California
- $184,000 - $356,500 a year
- Full-time
- Computer Science
- Bachelor of Science
- 8 years
12d
Developer Relations Manager, AI Platform and Tools - Data Platform Engineering
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 3 years
Software Engineer, Hardware Tools and Methodology - New College Grad 2026
NVIDIA —Santa Clara, CA
- $116,000 - $218,500 a year
- Full-time
- Hybrid work
- Master's degree
- C++
- Senior level
Principal Security Architect, Agent Policy Fabric
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- 11+ years
- Bachelor's degree
- Experience equivalent to degree accepted

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AI and FSI Developer Technology Engineer - New College Grad 2026

NVIDIA -
New York, NY

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Job Details

Full-time
$124,000 - $241,500 a year

Qualifications

GPU programming
Performance tuning
GPU architecture
High-performance computing clusters
System performance optimization
System design
System design for system development
Linear algebra
C
Computer hardware
Design (software development lifecycle)

Full Job Description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

We’re looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you’ll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world’s most advanced processing hardware. You’ll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role!

What you will be doing:

Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

What we need to see:

Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
Relevant work or research experience.
Experience with low-level parallel programming (e.g., CUDA).
Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
Fluency in C/C++ and solid foundations in algorithms and software design.
Experience improving the performance of large-scale computational applications on GPUs.
Good understanding of linear algebra.
Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.

Ways to stand out from the crowd:

Prior internship experience in a related field.
Experience with inference optimization techniques and deploying optimized AI models in production.
Experience with TensorRT, TensorRT-LLM, and cuTile.
Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.

NVIDIA is 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. If you're creative and autonomous, 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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NVIDIA jobs

AI and FSI Developer Technology Engineer - New College Grad 2026

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Power Architect - New College Grad 2026

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Cell Modeling and Verification Engineer - New College Grad 2026

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Developer Relations Manager, AI Platform and Tools - Data Platform Engineering

Software Engineer, Hardware Tools and Methodology - New College Grad 2026

Principal Security Architect, Agent Policy Fabric

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