Top 10 Companies Hiring AI Engineers in Round Rock, TX in 2026

Table of Contents

• Welcome to Round Rock's AI Kitchen
• Dell Technologies
• Amazon
• Google
• General Motors
• Visa
• Tesla
• Oracle
• CrowdStrike
• Motive
• SolarWinds
• Find Your AI Career Fit
• Frequently Asked Questions

Dell Technologies

As the hometown anchor headquartered right in Round Rock, Dell Technologies offers a distinct recipe: the convergence of AI software and the world-class hardware infrastructure that powers it. Engineers here work on its AI Factory, focusing on generative AI for enterprise, predictive hardware maintenance, and product optimization. The tech stack is robust, leveraging Python, PyTorch, TensorFlow, and Kubernetes on bare-metal HPC systems.

Salaries reflect this deep technical integration. According to salary data, Senior Engineers earn between $139k and $147k, while Senior Principal Engineers command $204k to $246k. With Texas having no state income tax, this compensation stretches even further locally. The interview process logically tests Python/ML fundamentals and a keen sense for enterprise scalability.

"If you're engineering of any kind, [Round Rock] is the best choice by far... just don't get into the Stockholm syndrome where you believe 'every company does what we do' - Dell is about cutting corners in its people and products" - Engineer, Round Rock subreddit

This blend of legacy and innovation defines the culture. It’s the ideal place for those who want to see their models run on hardware they can literally touch, offering a unique career flavor rooted in the physical infrastructure of AI. Explore current opportunities on the Dell Technologies careers page.

Amazon

If Dell’s kitchen is about hardware-software fusion, Amazon’s Austin outpost is a factory of scale and relentless rigor. AI engineers here build the systems that power global retail, working on recommendation engines, NLP for Alexa, and computer vision for automated fulfillment centers. The tech stack leverages internal AWS tools like SageMaker alongside Java and Python.

The compensation matches this high-stakes environment. Data from 6figr.com salary reports shows an L6 Applied Scientist or Technical Program Manager can earn between $241k and $547k in total compensation, with potential for even higher figures. The legendary "Bar Raiser" interview process is a 4-6 round gauntlet, detailed in guides like the one from Final Round AI, involving deep ML interviews and behavioral rounds aligned to Leadership Principles.

The culture is intensely focused on ownership and operational excellence. You’re not just building models; you’re responsible for their deployment and impact at a scale few other companies can match. This is a pressurized, high-reward kitchen where the heat is always on, perfect for engineers who thrive under clear, exacting standards and want their work to affect millions of customers daily.

Google

Google’s Austin campus is where you go to work on the foundational ingredients of modern AI. Projects here center on advancing the field itself, focusing on large-scale generative AI, Google Cloud AI/ML infrastructure, and HPC solutions. The work utilizes their flagship stack of TensorFlow, JAX, Python, and custom TPU hardware, giving engineers direct access to the tools shaping global AI development.

Compensation reflects the premium on research and foundational work. According to Google's career listings, salaries for PhD or early-career roles in AI start at a base of $147k to $211k. More specialized roles, like a Solutions Architect for AI/ML Infrastructure, can earn between $183k and $265k. The interview process is notoriously balanced, with heavy emphasis on coding fundamentals and system design for planetary scale.

The culture is one of intellectual curiosity and deep technical investment. As noted in assessments of the broader Austin tech scene, Google offers an environment where you're surrounded by pioneers working on problems that may not ship for years but will eventually define the industry. It’s a kitchen less about serving today’s customers and more about inventing tomorrow’s cuisine, ideal for engineers driven by long-term research impact over immediate product cycles.

General Motors

General Motors brings AI to the physical world with relentless momentum, operating from its Austin IT Innovation Center. Here, teams tackle the core challenges of autonomous transportation and smart manufacturing, focusing on computer vision for self-driving and predictive analytics for vehicle health. The tech stack is built for real-time, safety-critical systems, combining C++, Go, Python, PyTorch, and Kafka.

Compensation is strong for this mission-critical work. According to industry data, Staff Machine Learning Engineer roles offer $200k to $250k. The interview process logically focuses on real-time systems design, ML theory, and writing efficient, low-latency code that can operate reliably in a moving vehicle.

This is a kitchen where your code directly influences tons of moving metal. The culture is one of ambitious transformation, applying AI at a massive industrial scale to redefine personal and commercial mobility. As highlighted on the General Motors Careers site, Austin is a key hub for this historic pivot. It’s ideal for engineers who want their machine learning work to have tangible, physical consequences and who are excited by the rigorous demands of automotive-grade software.

Visa

In Visa’s Austin Tech Center, AI is the silent guardian of the global financial network. Engineers here build the systems that protect trillions of dollars in transactions daily, with a sharp focus on AI-powered fraud prevention and novel generative AI detection methods. The technical stack involves Python, Spark, and proprietary risk-modeling frameworks designed for real-time analysis at an immense scale.

The responsibility is enormous, and the compensation reflects it. Data indicates a Director of Machine Learning can earn between $214k and $343k. This aligns with strong salary trends in Texas, where AI/ML engineer salaries are competitive, enhanced by the state's no-income-tax advantage. The interview process is a rigorous assessment of applied ML for cybersecurity and financial risk modeling, testing an engineer's ability to think like both a data scientist and a security analyst.

The culture is defined by precision, security, and immense trust. You’re working on systems where a false positive or a missed fraud pattern has immediate, real-world financial consequences. It’s a high-stakes, intellectually stimulating environment for those who want to apply cutting-edge AI to one of the world's oldest needs: securing value. This kitchen runs on meticulous recipes where every algorithmic ingredient must be accounted for.

Tesla

A short drive from Round Rock, Tesla’s Giga Texas is a temple of vertical integration where AI is synonymous with physical automation. The work here focuses on existential challenges: advancing Full Self-Driving (FSD) capabilities, developing Optimus robotics, and creating intelligent manufacturing automation. The stack is purpose-built, leveraging PyTorch, C++, and Tesla's custom Dojo hardware for training massive neural networks.

Salaries in the competitive Austin market reflect the high technical bar and mission-driven work. For AI and machine learning roles, compensation typically ranges from $150k for mid-level engineers to over $250k for Staff and Senior positions, as seen in broader Round Rock machine learning job markets. The interview process is notoriously demanding, with deep technical drills on computer vision, perception engineering, and systems thinking.

The culture is famously intense, fast-paced, and uncompromising. You’re not just building features; you’re working toward the visionary goals of sustainable transport and a multi-planetary future. It’s the place for engineers who possess relentless drive, want immediate and visible impact, and are comfortable operating in a high-pressure environment where the stakes and the ambitions are always sky-high.

Oracle

Following its headquarters move to Austin, Oracle is methodically baking AI directly into the bedrock of enterprise software. Projects at its Central Texas hub involve infusing AI into enterprise SaaS products, automating Oracle Database operations, and building AI infrastructure for business intelligence on Oracle Cloud Infrastructure (OCI). Engineers work with a stack that includes Java, Python, SQL, and OCI’s native AI services.

Total compensation remains competitive with other Tier 1 tech employers in the area, often between $160k and $300k+ for senior engineering roles. The interview process typically mixes system design challenges with cloud-native application development, testing for both architectural vision and practical implementation skills.

The culture is notably evolving with its new Texas home. Reviews on Glassdoor highlight significant advantages, with one employee stating, "The benefits are awesome and the hours are so flexible... I would recommend this job to anyone." However, some note the challenges of managing large workloads within legacy systems. As a key player in the Austin tech landscape, Oracle offers a kitchen where you can work on problems that affect the entire Fortune 100, providing a unique blend of massive scale and the opportunity to modernize the enterprise from within.

CrowdStrike

At CrowdStrike’s Austin hub, AI serves as the primary weapon in a continuous, global battle. Engineers architect AI-powered cybersecurity systems, threat-hunting automation, and real-time endpoint protection for countless organizations. Their modern stack utilizes Python, Rust, Go, and advanced computer vision/ML to detect and neutralize sophisticated threats before they cause harm.

The work is critically important, and the salaries match that significance. Data shows a Senior AI Engineer can earn between $170k and $270k. The interview process is heavily technical, with a specific focus on system reliability and adversarial ML - understanding how attackers might try to evade or poison your models, a unique challenge in this domain.

The culture is one of relentless vigilance and rapid innovation. You’re on the digital front lines, protecting critical infrastructure from an ever-evolving threat landscape. It’s a high-adrenaline kitchen where the defensive recipes must constantly evolve to counter new attacks, offering a thrilling and mission-driven career for engineers motivated by a clear, impactful purpose. This positions CrowdStrike as a standout within the Austin-area AI landscape.

Motive

Motive, formerly KeepTruckin, connects AI to the physical economy of logistics and transportation. With a strong Austin presence, teams work on AI for driver safety automation, real-time vehicle tracking, and predictive maintenance for commercial fleets. This requires merging software like Python and PyTorch with computer vision and physical IoT hardware embedded in vehicles.

Salaries for these specialized roles are competitive within the Austin-Round Rock market. For mid-to-senior AI engineering positions, compensation ranges from $130k to $220k, as reflected in broader Round Rock AI engineer salary data. The interview process assesses practical ML applications and computer vision skills specifically for solving tangible, real-world logistics problems.

The culture is grounded in solving complex, physical problems for the industry that moves the world’s goods. It’s a kitchen where your models help keep drivers safe on highways and ensure supply chains run efficiently. This makes it ideal for engineers who want to escape the purely digital realm and see their AI work make a measurable difference in the physical world, offering a compelling career path within the diverse Austin machine learning ecosystem.

SolarWinds

SolarWinds applies AI to the unseen nervous system of the internet: enterprise IT operations. Based in the greater Austin area, projects focus on AIOps (Artificial Intelligence for IT Operations), automated network monitoring, and performance forecasting. The engineering stack combines Python, .NET, and cloud-native ML frameworks to build intelligence directly into network management tools used by sysadmins worldwide.

Salaries in the Round Rock area provide solid value, with engineering roles generally ranging from $120k to $180k. When combined with Texas's lack of state income tax, this offers a strong quality of life for engineers in the region. The interview process, as detailed in hiring guides, focuses on software engineering fundamentals and how machine learning can practically enhance enterprise observability and system reliability.

The culture is centered on building leveraged tools that empower other IT professionals. After navigating a challenging period, the company has publicly refocused on engineering excellence and rebuilding trust. It’s a unique kitchen where you work on "meta" problems - creating the diagnostic intelligence that helps thousands of other companies keep their own digital infrastructures running smoothly. For engineers fascinated by infrastructure, observability, and creating tools that amplify the work of entire IT departments, SolarWinds offers a stable and impactful environment within the robust Texas tech landscape.

Find Your AI Career Fit

A ranked list, much like a restaurant review, provides a necessary but ultimately reductive snapshot. Its true value isn't in declaring a single winner, but in acting as a curated map for your own exploration. Each of these Round Rock area kitchens - from Dell's hardware-software fusion and Amazon's scale factory to Visa's financial guardhouse and Motive's logistics nerve center - offers a fundamentally different recipe for a fulfilling AI career.

Your task isn't to simply chase the highest number, but to discover which company's unique blend of mission, technology, and culture best complements your own professional palate. Do you crave the tangible impact of robotics at Tesla, the intellectual frontier of research at Google, or the high-stakes security of fintech at Visa?

For those ready to build the skills for these kitchens, the Austin-Round Rock ecosystem is supported by accessible education paths. Bootcamps like Nucamp's AI programs offer affordable, community-based training in AI essentials and entrepreneurship, with flexible schedules designed for career-changers. With a thriving market of over 60,000 STEM jobs, no state income tax, and a culture of innovation, your perfect AI career match in Central Texas is not just a possibility - it's a tangible next step waiting for you to take it.

Frequently Asked Questions