Top 40 Principal deep learning communication architect Jobs in Austin, Tx

Principal Deep Learning Communication Architect
NVIDIA —Austin, TX
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- System design
Principal Architect
Palo Alto Networks —Austin, TX
- $239,000 - $278,750 a year
- Computer Science
- Bachelor's degree
- Product management
11d
Principal CPU Power Architect
NVIDIA —Austin, TX
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
AI Solutions Principal
Expedia —Austin, TX
- $231,000 - $369,500 a year
- Full-time
- Computer science
- Computer Science
- Writing skills
- Health insurance
- Dental insurance
5d
Principal CPU Software Architect
NVIDIA —Austin, TX
- $272,000 - $488,750 a year
- Full-time
- System design
- 11+ years
- Research
Principal Product Designer (Contract-to-Hire)
Chorus Innovations —Austin, TX
- $165,000 - $190,000 a year
- Full-time
- Remote
- Management
- 11+ years
- Mentoring
- Health insurance
- Dental insurance
Quick Apply
Director, Platform Architect Principal - Wealth Management
Charles Schwab —Austin, TX
- $210,000 - $260,000 a year
- Hybrid work
- System design
- Office
- Java
- Paid parental leave
- Employee stock purchase plan
Principal Architect, Azure Solutions
TTEC Digital —Austin, TX
- $170,000 - $210,000 a year
- Full-time
- Remote
- 5 years
- Machine learning
- Mentoring
- Health insurance
- Dental insurance
Quick Apply
BCG Platinion | Principal AI Tech Architect - AI Platforms
Boston Consulting Group —Austin, TX
- $230,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Paid holidays
2026-27 Assistant Principal of Instruction, Middle School-Manor
Austin Achieve Public Schools —Austin, TX
- $78,011 a year
- Full-time
- School experience
- Spanish
- Customer service
Quick Apply
Principal Linux Systems Architect
Advanced Micro Devices, Inc —Austin, TX
- Computer Science
- System design
- Master's degree
Executive Vice Dean for Research
University of Texas at Austin —Austin, TX
- Medicine
- University
- Doctor of Philosophy
Principal Solutions Engineer
Wilson Sonsini Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Full-time
- Computer Science
- DevOps
- 8 years
Principal Graphics Developer Tools Engineer
NVIDIA —Austin, TX
- $272,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- 11+ years
Principal Robotics Simulation Architect
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- System design
- Master's degree
Principal SoC Architect (ML Accelerators)
Cirrus Logic —Austin, TX
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Machine learning
Principal New Product Lead
Amazon.com Services LLC —Austin, TX
- $176,100 - $238,200 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- AD&D insurance
- Health insurance
Senior Principal Solutions Architect (R-18972)
Dun & Bradstreet —Austin, TX
- Email
- Microsoft Word
- Azure
- 11+ years
- Paid parental leave
- Health insurance
Quick Apply
Principal Quality Systems Engineer
CesiumAstro —Austin, TX
- Full-time
- Engineering
- Data analysis skills
- 11+ years
- Health savings account
- Health insurance
Sr. Principal Rack Development Manager
Jabil Circuit —Austin, TX
- $164,200 - $295,600 a year
- Full-time
- 3 years
- Travel
- Mentoring
- Commuter assistance
- Paid parental leave

I want to receive the latest job alert for principal deep learning communication architect in austin, tx

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

principal deep learning communication architect jobs near austin, tx

Principal Deep Learning Communication Architect

NVIDIA -
Austin, TX

Apply Now

Job Details

Full-time
$272,000 - $431,250 a year

Qualifications

AI models
GPU programming
GPU architecture
Computational framework
Technical Proficiency

Full 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.

What You’ll Be Doing:

Architecture Leadership: Define the long-term technical roadmap for communication libraries across NVIDIA’s next-generation platforms. You will ensure the seamless scaling of models to clusters comprising hundreds of thousands of nodes.
AI Communication Library Design: Lead the development of next-generation communication primitives and collective algorithms. This includes optimizing for heterogeneous interconnects such as NVLink, Spectrum-X (Ethernet), and Quantum-X (InfiniBand).
Application- Communication Library Co-Design: Partner with application developers to architect and implement specialized communication primitives. You will ensure that AI and HPC libraries—including NCCL, NIXL, NVSHMEM, UCC, and UCX—evolve to meet the requirements of trillion-parameter and Agentic AI.
Hardware/Software Co-Design: Collaborate with silicon Aarchitects and software engineers to influence hardware specifications for next-generation networking, ensuring they meet the evolving demands of trillion-parameter LLMs and Agentic AI.
Quantitative Modeling: Develop high-fidelity analytical models and simulators to predict system behavior under emerging workloads.

What We Need to See:

Ph.D. or M.S. in Computer Science, Electrical Engineering, or a related field (or equivalent experience), with 12+ years of industry experience in high-performance computing (HPC) or distributed deep learning.
Parallelism Expertise: Deep understanding of 3D parallelism (Data, Tensor, Pipeline) and advanced strategies including Context Parallelism, Expert Parallelism, and Zero Redundancy Optimizer (ZeRO) variants.
Technical Proficiency: Deep technical proficiency with NCCL, UCX, UCC, NVSHMEM, or MPI. Experience with RDMA, RoCE, and low-level InfiniBand verbs is required.
Inference & Serving: Advanced knowledge of high-throughput inference engines and schedulers, specifically TensorRT-LLM, vLLM, SGLang, and NVIDIA Dynamo.
GPU Architecture: Expert knowledge of the NVIDIA GPU memory hierarchy (HBM3e/HBM4, L2 cache) and CUDA programming models.

Ways to Stand Out from the Crowd:

Framework Development: Hands-on experience developing within Megatron-Core, DeepSpeed, or JAX/XLA, with an understanding of how these frameworks interact with low-level communication runtimes is a plus.
Significant upstream contributions to major open-source projects (e.g., PyTorch Distributed, KServe, or Ray).
A proven track record of deploying and optimizing models on NVIDIA platforms or similar rack-scale systems.
A strong portfolio of patents or papers in top-tier systems/architecture venues (e.g., ISCA, ASPLOS, NeurIPS, SC).

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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 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

principal deep learning communication architect jobs in austin, tx

Principal Deep Learning Communication Architect

Principal Architect

Principal CPU Power Architect

AI Solutions Principal

Principal CPU Software Architect

Principal Product Designer (Contract-to-Hire)

Director, Platform Architect Principal - Wealth Management

Principal Architect, Azure Solutions

BCG Platinion | Principal AI Tech Architect - AI Platforms

2026-27 Assistant Principal of Instruction, Middle School-Manor

Principal Linux Systems Architect

Executive Vice Dean for Research

Principal Solutions Engineer

Principal Graphics Developer Tools Engineer

Principal Robotics Simulation Architect

Principal SoC Architect (ML Accelerators)

Principal New Product Lead

Senior Principal Solutions Architect (R-18972)

Principal Quality Systems Engineer

Sr. Principal Rack Development Manager

I want to receive the latest job alert for principal deep learning communication architect in austin, tx

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected