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Robotics Deployment Engineer Jobs in Raleigh, NC

Process Lead

Zebulon, NC · On-site

$87K - $114K/yr

... robotics, digital solutions and artificial intelligence to deliver for patients. Position Summary ... You will coach team members, solve problems and work closely with quality, engineering and planning.

Process Lead

Zebulon, NC · On-site

$87K - $114K/yr

... robotics, digital solutions and artificial intelligence to deliver for patients. Position Summary ... You will coach team members, solve problems and work closely with quality, engineering and planning.

Support CPU architects and performance engineers in their use of functional models, performance ... Our technologies power transformative applications across industries - from robotics and autonomous ...

... robotics, digital solutions and artificial intelligence to deliver for patients. You will lead the ... new deployments, and retirements), coordinating engineering, production, quality, and IT ...

... robotics, digital solutions and artificial intelligence to deliver for patients. You will lead the ... new deployments, and retirements), coordinating engineering, production, quality, and IT ...

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Showing results 1-20

Robotics Deployment Engineer information

See Raleigh, NC salary details

$34.5K

$106.5K

$165.3K

How much do robotics deployment engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for robotics deployment engineer in Raleigh, NC is $106,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $134,600.00 per year, depending on experience, location, and employer.

What are Robotics Deployment Engineers?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by Robotics Deployment Engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a Robotics Deployment Engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.
What are popular job titles related to Robotics Deployment Engineer jobs in Raleigh, NC? For Robotics Deployment Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Robotics Deployment Engineer jobs? Cities near Raleigh, NC with the most Robotics Deployment Engineer job openings:
Infographic showing various Robotics Deployment Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,502 per year, or $51.2 per hour.
Senior Full-stack Software Engineer - Verification Data and Visualization Platform

Senior Full-stack Software Engineer - Verification Data and Visualization Platform

Nvidia

Durham, NC • Hybrid

$118K - $156K/yr

Full-time

Posted 18 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


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.

We are now looking for a Senior Full-stack web applications software architect to join our Hardware Infrastructure team! Our team is building the next-generation event-driven data and visualization platform to power NVIDIA's GPU development efforts. We deliver the high-availability infrastructure that powers real-time data processing, streaming analytics, and scalable data-driven applications. This platform is essential for hardware engineers and management across the company, producing the core services used for real-time tracking, AI agents development, anomaly detection, and debugging of complex hardware verification and data processing flows.

What you'll be doing:

  • Front end application modernization to serve a large and diverse customer base with complex concerns.

  • Participate in the full life-cycle of tool development, end-to-end environment troubleshooting, test, and deployment of Java stack web applications.

  • Build microservices and AI agents that are reliable, scalable, and maintainable.

  • Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.

  • Collaborate closely with hardware engineering and chip verification teams to understand data and UI/UX requirements and deliver robust, scalable solutions.

  • Establish best practices for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).

What we need to see:

  • Strong experience with JavaScript/TypeScript and modern frontend frameworks--building complex data visualization tools and user-facing web applications.

  • Expertise in designing, building, and debugging distributed Java stack applications, infrastructure and microservices.

  • Deep understanding of Apache Kafka and proven experience building applications with Kafka Streams, Apache Flink or other event driven data pipelines.

  • Detailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.

  • Deep understanding of the scalable data caching solution, specifically Redis.

  • Excellent planning, presentation, and communication skills.

  • BS degree (or equivalent experience) with 5+ years of relevant experience, MS degree with 3+ years of relevant experience.

Ways to stand out from the crowd:

  • Demonstrable knowledge of the Elastic Stack (Elasticsearch, Kibana, Logstash) for logging and analytics.

  • Experience with agentic AI frameworks (e.g., LangChain), building LLM-powered autonomous agents, or integrating LLMs with real-time data streams for automated analysis or decision-making.

  • Experience working with modern observability using OpenTelemetry (Grafana).

  • Background with containerization and orchestration (Docker, Kubernetes).

  • Some experience with or understanding of the chip design process and/or EDA verification workflows.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


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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