Senior AI Software Engineer Jobs in Texas
Senior AI Software Engineer jobs in Texas are among the most actively recruited roles in the state's technology market, concentrated in enterprise software, defense contracting, semiconductor design, and financial technology across Austin, Dallas-Fort Worth, and Houston. Major employers with deep, lasting footprints in Texas include Dell Technologies, Lockheed Martin, and JPMorgan Chase, all of which maintain large engineering centers in the state. The most in-demand specialties are large language model development, MLOps infrastructure, and applied machine learning for real-time systems. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 174+ Senior AI Software Engineer jobs











INTRODUCTION
Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.
We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.
ROLE AND RESPONSIBILITIES
We are seeking a highly experienced Senior Software Engineer to design, develop, and upstream-enable Cornelis Networks’ AI communication middleware. This role focuses on distributed AI workloads and enabling/optimizing collective communication libraries (e.g., NCCL/RCCL) over Cornelis Networks’ interconnects.
Key Responsibilities
- Design and implement performance-critical features for CCL enablement on Cornelis Networks’ fabrics.
- Optimize distributed training performance across multi-node, multi-GPU configurations.
- Improve GPU communication paths including GPU-direct transfers, IPC, and CPU/GPU synchronization.
- Profile distributed AI workloads and identify bottlenecks across the software and hardware stack.
- Tune AI frameworks such as PyTorch Distributed, TensorFlow/XLA, JAX, DeepSpeed, and Megatron-LM.
- Develop benchmarks and microbenchmarks aligned with real model performance.
- Contribute upstream to AI communication and distributed training projects.
- Participate in design reviews, code reviews, CI, and long-term maintenance.
- Prototype and validate Ultra Ethernet capabilities for AI collective communication.
- Provide technical input for deployment considerations and performance validation.
- Collaborate with kernel/driver, switch, performance, and systems teams.
- Support advanced escalations by analyzing traces and providing robust fixes.
MINIMUM QUALIFICATIONS
- 8+ years of experience in high-performance systems programming in C/C++ on Linux.
- Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL.
- Ability to optimize distributed training performance using profiling and tracing.
- Understanding of collective communication concepts and topology awareness.
- Experience delivering production-quality code.
- Open-source contributions in relevant areas.
PREFERRED QUALIFICATIONS
- Experience with AI frameworks such as PyTorch Distributed, DeepSpeed, and Megatron-LM.
- Familiarity with libfabric/OFI, UCX, and RDMA concepts.
- Experience with RoCEv2 and Ultra Ethernet.
- Experience building cluster-scale performance test infrastructure.
LOCATION: This is a remote position for employees residing within the United States.
We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.
At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.
In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.
Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
See All 174+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- NVIDIA20

- Apple16

- Shield AI12

- PepsiCo6

- Citi5

Top Industries Hiring
- Technology & Software55
- Electronics & Hardware21
- Banking & Financial Services17
- Law & Legal Services13
- Aerospace & Defense12
What Texas Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Texas.
- Bachelor's or master's degree in computer science, AI, or a related engineering discipline
- Five or more years of professional software engineering experience with at least two in AI or ML
- Hands-on production experience with PyTorch, TensorFlow, or equivalent deep learning frameworks
- Demonstrated ability to design and deploy scalable ML pipelines in cloud environments such as AWS or Azure
- Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation architectures
- Strong proficiency in Python and familiarity with MLOps tooling such as MLflow, Kubeflow, or similar
Senior AI Software Engineer Jobs in Texas: Frequently Asked Questions
How do you become a senior ai software engineer in Texas?
Texas does not require a state-issued license to work as a software engineer, so the path is driven by education and experience rather than credentialing boards. Most hiring managers in Texas expect a bachelor's degree in computer science, machine learning, or a closely related field, along with several years of progressively complex AI engineering work. Building a portfolio of deployed models, contributing to open-source ML projects, and earning cloud certifications from AWS or Google Cloud are the most effective ways to advance to a senior level in the Texas market.
How much do senior AI software engineers make in Texas?
Senior AI software engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Texas?
Employers hiring senior ai software engineers in Texas right now include NVIDIA, Apple, and Shield AI, based on current listings on Migrate Mate as of June 2026. Texas's concentration of defense primes, semiconductor firms, and major financial institutions means demand for senior AI engineers is distributed across sectors well beyond pure tech.
Which Texas cities have the most senior ai software engineer jobs?
Austin, Dallas, and Houston hold the most senior ai software engineer openings in Texas. Austin's dense cluster of technology headquarters and semiconductor companies drives the bulk of demand there, Dallas-Fort Worth's large financial services and telecommunications base sustains consistent hiring, and Houston adds openings through its energy technology and aerospace sectors, including significant engineering centers from companies like NASA's Johnson Space Center and major oil-and-gas operators investing in AI-driven operations.
Are there remote senior ai software engineer jobs in Texas?
Yes, and more than most fields. About 17% of senior ai software engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting how naturally desk-based and tool-driven this work is. The roles most likely to be fully remote are those focused on model research, LLM development, and ML platform engineering, while positions that involve on-site GPU cluster management or embedded AI integration tend to require a physical presence.
How can I get hired as a senior ai software engineer in Texas with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, which large Texas employers like Dell Technologies, Texas Instruments, and American Airlines staff regularly. Building a public portfolio of end-to-end ML projects on GitHub is the credential that carries the most weight in the absence of formal work history. University co-op programs at UT Austin and Texas A&M feed directly into engineering pipelines at major Texas employers. Lateral moves from data analyst, software developer, or data scientist roles are common because they share overlapping tooling and allow candidates to demonstrate applied AI skills internally before taking on a senior title.
Where can I find and apply to senior ai software engineer jobs in Texas?
You can find and apply to senior ai software engineer jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers. Find roles that fit your experience and apply directly to the ones that match.
See All 174+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Jobs