Top 390 Infrastructure engineer computing Jobs in Austin, Tx

Software Engineer, DGX Cloud AI Infrastructure
NVIDIA —Austin, TX
- $116,000 - $224,250 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
Sr. Water Systems Engineer, DC Design Engineering
Amazon Data Services, Inc. —Austin, TX
- $136,600 - $184,800 a year
- Full-time
- 6 years
- Engineering
- Travel
- AD&D insurance
- Health insurance
Electrical BIM Designer, DC Design Engineering
Amazon Data Services, Inc. —Austin, TX
- $116,800 - $160,000 a year
- Full-time
- Mid-level
- 4 years
- Commercial
- AD&D insurance
- Health insurance
Software Engineer II
Cox Automotive —Austin, TX
- $98,300 - $147,500 a year
- Full-time
- Mid-level
- Master's degree
- Bachelor's degree
- Paid jury duty
- Paid holidays
Sr Software Engineer
Cox Automotive —Austin, TX
- $111,600 - $186,000 a year
- Full-time
- Azure
- Computer Science
- System design
- Paid jury duty
- Paid holidays
AI Infrastructure Engineer
Crowe —Austin, TX
- $94,500 - $212,500 a year
- Full-time
- DevOps
- Bachelor's degree
- Machine learning
Quick Apply
9d
Senior ASIC Front End Infrastructure Engineer
NVIDIA —Austin, TX
- $184,000 - $356,500 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
ASIC Engineer
Meta —Austin, TX
- $178,000 - $250,000 a year
- Computer science
- Computer Science
- 5 years
2d
Software Engineer, System Validation - EDA Infrastructure
NVIDIA —Austin, TX
- $224,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Formal Verification Engineer
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Master's degree
- 8 years
- Math
Infrastructure Verification Engineer
TechBiz Global GmbH —Austin, TX
- Full-time
- Remote
- Mid-level
- Analysis skills
- Linux
Quick Apply
System Engineer
Yunex Traffic —Austin, TX
- Full-time
- Computer Science
- Research
- Mid-level
- Disability insurance
- Health insurance
Senior C++ Software Engineer - Infrastructure Tools
NVIDIA —Austin, TX
- $152,000 - $287,500 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
Senior DGX Cloud AI Infrastructure Software Engineer
NVIDIA —Austin, TX
- $184,000 - $356,500 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
Senior Software Engineer, DGX Cloud AI Infrastructure
NVIDIA —Austin, TX
- $184,000 - $356,500 a year
- Full-time
- Computer Science
- Master's degree
- 8 years
Platform Engineer
Jobhuk —Austin, TX
- From $140,240.86 a year
- Full-time
- System design
- Mid-level
- Windows
- Relocation assistance
- Flexible schedule
Quick Apply
11d
CPU Tools and Diagnostics Development Engineer
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Customer Engineer, Infrastructure, Public Sector
Google —Austin, TX
- $152,000 - $222,000 a year
- Full-time
- Oracle
- Presentation skills
- Bachelor's degree
Solutions Architect, AI Factory Infrastructure DevOps
NVIDIA —Austin, TX
- $152,000 - $287,500 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science

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infrastructure engineer computing jobs near austin, tx

Software Engineer, DGX Cloud AI Infrastructure

NVIDIA -
Austin, TX

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Job Details

Full-time
$116,000 - $224,250 a year

Qualifications

AI models
GPU programming
Containerization systems
Software engineering
GPU architecture
Triage
High-performance computing clusters
Scalable systems
C
Computer hardware
Scalability
Distributed computing
Debugging

Full Job Description

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.

In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations.

What you’ll be doing:

Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads.
Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks.
Perform root-cause analysis of failures in large distributed environments
Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster.
Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms.
Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams.
Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization.

What we need to see:

Bachelor’s or Master’s in Computer Science or a related technical field (or equivalent experience).
3+ years of experience developing software for AI, HPC, or systems-level applications.
Hands-on experience with multi-GPU or multi-node workloads and CUDA-aware distributed execution.
Backgroun with debugging and scaling distributed systems.
Experience debugging and triaging AI applications across the full stack, from the application level toward the hardware.
Experience operating workloads in scheduled, containerized cluster environments.
Excellent analytical, debugging, and communication skills, and a collaborative approach across teams.
Strong Python and C/C++ programming skills.

Ways to stand out from the crowd:

Hands-on experience with NCCL and CUDA-aware distributed execution.
Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric) and with InfiniBand / RoCE congestion debugging.
Experience building acceptance tests, benchmark harnesses, regression gates, or cluster qualification tooling for AI platforms, including MLPerf.
Experience diagnosing performance jitter
Experience building resilience, fault-detection, or failure-attribution systems for datacenter-scale infrastructure.

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, autonomous, and love a challenge, 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 116,000 USD - 189,750 USD for Level 2, and 140,000 USD - 224,250 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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.

Apply Now

Refine Your Search

infrastructure engineer computing jobs in austin, tx

Software Engineer, DGX Cloud AI Infrastructure

Sr. Water Systems Engineer, DC Design Engineering

Electrical BIM Designer, DC Design Engineering

Software Engineer II

Sr Software Engineer

AI Infrastructure Engineer

Senior ASIC Front End Infrastructure Engineer

ASIC Engineer

Software Engineer, System Validation - EDA Infrastructure

Formal Verification Engineer

Infrastructure Verification Engineer

System Engineer

Senior C++ Software Engineer - Infrastructure Tools

Senior DGX Cloud AI Infrastructure Software Engineer

Verification Engineer - New College Grad 2026

Senior Software Engineer, DGX Cloud AI Infrastructure

Platform Engineer

CPU Tools and Diagnostics Development Engineer

Customer Engineer, Infrastructure, Public Sector

Solutions Architect, AI Factory Infrastructure DevOps

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