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Control System Architect Jobs in Texas (NOW HIRING)

The position plays a critical role in aligning system architecture, ensuring integration across mechanical, electrical, and control domains, and enabling scalable, modular solutions. The position ...

Network System Architect-EN

Arlington, TX · On-site

$59.50 - $79.75/hr

... control validation tasks • Demonstrated ability to translate NIST Rev 5 requirements into ... System (CDS) and Data Guard configuration and authorization • Strong analytical and problem ...

... control. • Influence silicon and platform roadmaps using model‑driven architectural insights from robotics, automotive, and industrial workloads. • Collaborate across silicon, system ...

Data Center System Architect

Dallas, TX

$58 - $74.75/hr

The Data Center System Architect will require a unique blend of technical expertise, business ... However, if TI determines that information access or export control restrictions based upon ...

Data Center System Architect

Dallas, TX · On-site

$58 - $74.75/hr

The Data Center System Architect will require a unique blend of technical expertise, business ... However, if TI determines that information access or export control restrictions based upon ...

Showing results 21-40

Control System Architect information

See Texas salary details

$72.5K

$202.5K

$223.8K

How much do control system architect jobs pay per year?

As of Aug 10, 2026, the average yearly pay for control system architect in Texas is $202,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $222,900.00 and $222,900.00 per year, depending on experience, location, and employer.

What is the difference between Control System Architect vs Control Systems Engineer?

AspectControl System ArchitectControl Systems Engineer
CredentialsBachelor's or Master's in Engineering, certifications like PLC or SCADABachelor's or Master's in Electrical, Mechanical, or Control Engineering
Work EnvironmentDesign-focused, strategic planning, system architecture developmentImplementation, testing, troubleshooting of control systems
Industry UsageDesign firms, automation companies, large manufacturingManufacturing, process industries, automation projects

The Control System Architect primarily focuses on designing and planning control system architectures, ensuring integration and scalability. In contrast, Control Systems Engineers are more involved in implementing, testing, and maintaining these systems. Both roles require similar educational backgrounds and certifications but differ in their focus within the control systems lifecycle.

What job categories do people searching Control System Architect jobs in Texas look for? The top searched job categories for Control System Architect jobs in Texas are:

Senior System Architect, Enterprise Reference Architectures

NVIDIA

Austin, TX • On-site

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Job Summary:
NVIDIA is a leading technology company seeking a Senior System Architect to define and validate enterprise AI factory reference architectures. This role involves collaborating with multiple teams to develop product direction and scalable cluster designs for enterprise AI/ML systems, ensuring seamless integration and performance optimization.
Responsibilities:
• Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software to deliver on-prem cloud native-platform and cluster reference builds.
• Architect reference builds for end-to-end software systems and platforms based on scalable, portable, and resilient builds and drive evaluation of different platforms, capture information on differences in implementations, and conduct research on the platform behavior under different workloads.
• Work with Product Management, Product Architects, Engineering, Solution Architecture, Program Management, and field teams to develop product direction, architecture requirements, roadmap inputs, and execution plans
• Develop and validate scalable cluster designs for enterprise AI/ML systems, including on-premises and hybrid-cloud deployments optimized for training, fine-tuning, inference, agentic AI, physical AI, and HPC workloads
• Evaluate tradeoffs across performance, scalability, resiliency, manageability, security, power, cooling, cost, TCO, and operational complexity.
• Understand design patterns, fundamental business logic, component-based architecture, and evolutionary architecture.
• Build and detail comprehensive API strategies, middleware integrations, and orchestration workflows to ensure seamless communication across distributed enterprise software.
• Integrate with non-cloud technologies and third-party vendor products/services.
Qualifications:
Required:
• Bachelor's degree or equivalent experience.
• 12+ years of software or infrastructure architecture experience.
• 3+ years of experience with micro-services architectures.
• Experience with system architecture, performance, and networking specifically developing and deploying distributed solutions.
• Proven experience designing, building, or maintaining complex AI, HPC, or cloud-native infrastructure from rack-scale systems through full data center deployments.
• Proven expertise in crafting and deploying complete software platforms spanning edge, on-premises, and cloud environments.
• Strong understanding of GPU-accelerated systems, high-density servers, PCIe, NVLink, CPU/GPU platform design, rack integration, power, cooling, mechanical constraints, and data center deployment realities.
• Deep networking knowledge across Ethernet, InfiniBand, RDMA, RoCE, routing, switching, congestion control, network segmentation, and high-performance cluster fabrics.
• Deep proficiency in modern integration patterns, event-driven architectures (e.g., Kafka, RabbitMQ), and container orchestration (e.g., Kubernetes, Docker).
• Strong grasp of cloud-native systems with emphasis on high availability, scalability, and security in compute environments.
Preferred:
• Ability to work optimally with NVIDIA and its partners to deliver prescriptive, validated, and scalable enterprise AI factory architectures that reduce deployment complexity and accelerate time to value.
• Ability to connect product vision, customer feedback, and deep system architecture to develop practical designs that enterprises can deploy, operate, and expand in production.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993