Top 48 Networking Scientist Jobs

Senior Software Engineer, AI Networking
NVIDIA —Seattle, WA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- System design
Applied AI Scientist
Cisco Systems —Seattle, WA
- $165,300 - $270,300 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Master's degree
- Paid parental leave
- Paid holidays
10d
Technical Leader, Distributed Quantum Computing and Quantum Networking Theorist
Cisco Systems —Santa Monica, CA
- $148,800 - $277,400 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- Team management
- Paid parental leave
- Paid holidays
Applied Scientist, Optical (contract)
Zetta Technologies —Remote
- From $12,500 a month
- Contract
- Remote
- Doctoral degree
- System design
- Master's degree
Quick Apply
Linux Systems Engineering Scientist Associate
University of Texas at Austin —Austin, TX
- $88,500 - $120,000 a year
- Weekends as needed
- Computer science
- Computer Science
- System design
- Paid holidays
- Health insurance
Principal Developer, AI Networking
NVIDIA —Santa Clara, CA
- $272,000 - $488,750 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Principal Architect, AI Networking
NVIDIA —Austin, TX
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- Doctor of Philosophy
Product Support Scientist - AMR West Coast
Oxford Nanopore Technologies —San Francisco, CA
- $97,000 - $121,849 a year
- Full-time
- Hybrid work
- Mid-level
- Analysis skills
- Continuous improvement
- Commuter assistance
- Disability insurance
R&D Cloud Engineering Scientist
University of Texas at Austin —Austin, TX
- From $104,000 a year
- Weekends as needed
- Azure
- Computer Science
- Engineering
- Paid holidays
- Health insurance
9d
Technical Leader- Quantum Networking Hardware Engineer
Cisco Systems —Santa Monica, CA
- $163,600 - $303,100 a year
- Full-time
- Computer Science
- Doctor of Philosophy
- US work authorization
- Paid parental leave
- Paid holidays
Senior Data Scientist / AI Machine Learning Research Engineer
CACI —Sterling, VA
- $113,200 - $237,800 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Health insurance
Systems Software Engineer, Autonomous Systems Mapping - New College Graduate 2026
NVIDIA —Santa Clara, CA
- $124,000 - $241,500 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
8d
Senior Research Scientist, Medical Device Security Analysis
Harbor Labs —Baltimore, MD
- Full-time
- Computer Science
- HIPAA
- Research
Senior Security Research Scientist
Censys —Remote
- $153,000 - $212,000 a year
- Remote
- Linux
- Senior level
- Communication skills
- Health insurance
- Dental insurance
Machine Learning User Research Scientist (Ph.D. required)
Exponent Inc. —Los Angeles, CA
- $130,000 - $140,000 a year
- Email
- Computer Science
- Office
- Java
- 401(k)
Associate Research Scientist, Medical Cybersecurity
Harbor Labs —Baltimore, MD
- Full-time
- Computer science
- Computer Science
- HIPAA
SME Computer Scientist - Artificial Intelligence (AI)/Machine Learning (ML) (J26 Support)
Prescient Edge Federal —Mooresville, AL
- Full-time
- Computer Science
- 11+ years
- Research
- Health insurance
- Dental insurance
Senior Data Scientist - AI engineering with Clinical applications
Novo Nordisk —Lexington, MA
- $100,600 - $155,400 a year
- System design
- Master's degree
- Bachelor's degree
- Disability insurance
- Health insurance
Machine Learning Scientist
Intratek Computer Inc —Irvine, CA
- Office
- Military encouraged
- Organizational skills
- Paid holidays
- Health insurance
Research Scientist - Exploit & Vulnerability
AvionX —Cupertino, CA
- Mid-level
- Analysis skills
- 1 year

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Senior Software Engineer, AI Networking

NVIDIA -
Seattle, WA

Apply Now

Job Details

Full-time
$152,000 - $287,500 a year

Qualifications

AI models
GPU programming
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Model deployment
Developing large-scale AI models
Model training
Machine learning libraries
Cross-functional collaboration
Machine learning frameworks
Cross-functional communication

Full Job Description

NVIDIA seeks a senior software engineer to join the AI Networking co-design and benchmark R&D team. In this pivotal role, the candidate is responsible for building and productizing machine learning tools. These include tools that use ML-based combinatorial optimization and build space exploration (DSE) techniques. These tools will be employed to optimize AI workloads across large GPU and CPU clusters, thereby ensuring the most efficient and productive utilization of system resources at data center scale. The role involves working on distributed Deep Learning, particularly within LLM training and inference stacks. A strong passion for collective communication and networking is desirable.

The candidate will interact with diverse hardware and platforms, such as Host Channel Adapters (HCAs), Switches, CPUs, GPUs, and complete Systems. Furthermore, the role requires engagement across multiple software layers, including LLM applications, machine learning frameworks, and communication and computing libraries. The candidate will develop tools and methodologies using Machine Learning (ML) for comprehensive performance analysis and optimization, potentially incorporating learning-based agentic techniques. This work involves deep-diving across the software stack, from LLM applications and ML frameworks down to communication and computing libraries. This position offers a distinct opportunity to support the core infrastructure powering the next generation of large-scale AI systems.

What you'll be doing:

Design and implement resource allocation and combinatorial optimization techniques (e.g., reinforcement learning, LLM agents for DSE, Bayesian optimization and other multi-objective optimization techniques) to optimize LLM models at datacenter scale.
Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning (LLM) training and inference on NVIDIA supercomputers and distributed systems. This includes a focus on high-performance networking and NVIDIA communication libraries.
Build and productionize ML-based tools for performance prediction and optimization, with a strong emphasis on networking aspects.
Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high-performance Machine Learning models.
Collaborate across hardware and software teams to deliver valuable performance analysis insights.
Lead performance test planning, establish performance targets for new technologies and solutions, and drive efforts to achieve those performance goals.

What we need to see:

PhD or Master's degree in Computer Science, Software Engineering, or equivalent experience.
4+ years of experience applying machine learning techniques to computer architecture and system optimization problems. Desired experience involves bringing to bear ML at the intersection of at least two of the following areas: HPC, networking, and AI applications.
Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning) to tackle optimization challenges within computer architecture, system design, or networking domains.
Proficiency in building and using ML models with leading frameworks such as PyTorch or TensorFlow, or JAX.
Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces.
Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts, including collective communication libraries (like NCCL) and protocols (such as RoCE and RDMA).
Strong programming capabilities in Python, Bash, and C++.
A collaborative teammate with effective communication and interpersonal abilities.

Ways to stand out from the crowd:

In-depth knowledge and experience with machine learning/reinforcement learning and frameworks.
Comprehensive understanding of computer architecture, system architecture and networking.
Extensive experience in applying machine learning techniques such as GNNs or related graph-based models.
Knowledge in PyTorch, CUDA, and NCCL libraries.
Proven software engineering/development skills

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 18, 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.

Apply Now

Refine Your Search

Networking Scientist jobs

Senior Software Engineer, AI Networking

Applied AI Scientist

Technical Leader, Distributed Quantum Computing and Quantum Networking Theorist

Applied Scientist, Optical (contract)

Linux Systems Engineering Scientist Associate

Principal Developer, AI Networking

Principal Architect, AI Networking

Product Support Scientist - AMR West Coast

R&D Cloud Engineering Scientist

Technical Leader- Quantum Networking Hardware Engineer

Senior Data Scientist / AI Machine Learning Research Engineer

Systems Software Engineer, Autonomous Systems Mapping - New College Graduate 2026

Senior Research Scientist, Medical Device Security Analysis

Senior Security Research Scientist

Machine Learning User Research Scientist (Ph.D. required)

Associate Research Scientist, Medical Cybersecurity

SME Computer Scientist - Artificial Intelligence (AI)/Machine Learning (ML) (J26 Support)

Senior Data Scientist - AI engineering with Clinical applications

Machine Learning Scientist

Research Scientist - Exploit & Vulnerability

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