採用

Software Engineer, Agentic AI for Science - PhD New College Grad 2026
US, CA, Santa Clara
·
On-site
·
Full-time
·
2w ago
Compensation
$168,000 - $264,500
Benefits & Perks
•Equity
•Healthcare
•Equity
•Healthcare
Required Skills
Software development
Distributed systems
Git
PyTorch
TensorFlow
CI/CD
Debugging
NVIDIA is looking for a Software Engineer to join the Quantum & Chemistry group. As the team member, you will be part of the development effort of an AI for science agentic system. This work involves close collaboration with domain scientists and AI scientists that will be carrying out research in agentic science.
What You’ll Be Doing:
-
Designing and developing solutions for AI for science agents that integrate with the current NVIDIA agentic stack.
-
Collaborating closely with internal and external partners to understand requirements and deliver robust full-cycle solutions.
-
Improving stability and performance across the agentic pipeline through architectural enhancements and code optimizations.
-
Troubleshooting issues in distributed environments.
-
Working multi-functionally with architects, DevOps engineers, product managers and partners to ensure high-quality releases.
-
Participating in code reviews, technical design discussions, and continuous improvement activities within the team.
What We Need to See:
-
You are completing a Ph.D. in Computer Science, Engineering, or a related field (or equivalent experience).
-
Hands-on experience in software development.
-
Strong understanding of software design patterns, architectural principles, and standard methodologies in complex distributed systems.
-
Experience with microservices architectures.
-
Proficiency with version control systems (e.g., Git) and CI/CD pipelines.
-
Experience working with both Linux and Windows operating systems.
-
Strong problem-solving and analytical thinking, with the ability to deliver high-quality code and resilient services.
-
Strong debugging and troubleshooting capabilities in distributed systems or multi-node environments.
-
Excellent communication skills and an ownership-driven mindset.
-
Experience in Agentic AI development with proficiency with Pytorch and or Tensorflow.
Ways to Stand Out from the Crowd:
-
Python proficiency (strongly preferred due to Python-based tooling).
-
Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible).
-
Hands-on experience with Docker and containerized environments.
-
Experience with scientific codes and high-performance computing.
-
Experience with lab automation.
NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems, including advancing the state of Quantum Information Science. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, 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 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 14, 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Forward Deployment Engineer
Microsoft · Switzerland, Geneva, Geneva

Software Engineer 5 - Ads Foundations Knowledge Graph
Netflix · Los Gatos,California,United States of America; New York,New York,United States of America

Senior Software Engineer- CTJ - Poly
Microsoft · United States, Virginia, Reston; United States, Washington, Redmond; United States, Maryland, Annapolis Junction

Design Verification Engineer
AMD ·

Enterprise Support Engineer
Meta · Bangalore, India
About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago