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Robotics Application Engineer Jobs in Washington

SIMILAR CAREER TITLES Software Developer, Application Developer, Full Stack Developer, Backend ... Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer ...

SIMILAR CAREER TITLES Software Developer, Application Developer, Full Stack Developer, Backend ... Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer ...

SIMILAR CAREER TITLES Software Developer, Application Developer, Full Stack Developer, Backend ... Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer ...

SIMILAR CAREER TITLES Software Developer, Application Developer, Full Stack Developer, Backend ... Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer ...

RPA UIPath Developer (Midlevel) Location: Herndon, VA (Hybrid Work) Required: US Citizenship ... Experience developing unattended robots leveraging the Office365 application suite (SharePoint ...

RPA UIPath Developer (Midlevel) Location: Herndon, VA (Hybrid Work) Required: US Citizenship ... Experience developing unattended robots leveraging the Office365 application suite (SharePoint ...

RPA UIPath Developer (Midlevel) Location: Herndon, VA (Hybrid Work) Required: US Citizenship ... Experience developing unattended robots leveraging the Office365 application suite (SharePoint ...

Using robotics, computational design, and AI, our systems turn today's e-waste into resilient, data ... Strong debugging skills -- you can navigate a system from application layer down to the register ...

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Showing results 1-20

Robotics Application Engineer information

See Washington salary details

$57.2K

$125.4K

$172.2K

How much do robotics application engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for robotics application engineer in Washington is $125,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $152,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Robotics Application Engineer, you need a solid background in mechanical or electrical engineering, programming (such as Python or C++), and automation principles, often supported by a relevant degree. Familiarity with robotics platforms (like FANUC, ABB, or KUKA), CAD software, and PLC programming, as well as certifications in robotics or automation, are commonly required. Strong problem-solving abilities, effective communication, and teamwork are crucial soft skills for collaborating with multidisciplinary teams and clients. These skills ensure the successful design, implementation, and support of robotic solutions tailored to complex industrial needs.

What is the difference between Robotics Application Engineer vs Robotics Software Engineer?

AspectRobotics Application EngineerRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's or Master's in Computer Science, Robotics, or Software Engineering; programming certifications
Work EnvironmentHands-on with hardware, field testing, client sitesSoftware development, coding, simulation, testing in labs or offices
Employer & Industry UsageManufacturing, automation companies, robotics integratorsTech firms, research labs, automation software providers
Common Search & ComparisonOften compared for hardware vs software focus in robotics

The Robotics Application Engineer primarily focuses on integrating and testing robotic systems in real-world environments, working closely with hardware and clients. In contrast, the Robotics Software Engineer concentrates on developing and coding the software that powers robotic systems. Both roles require technical skills but differ in their focus on hardware versus software development.

What are some typical challenges a Robotics Application Engineer faces when integrating robots into existing manufacturing processes?

A Robotics Application Engineer often encounters challenges such as ensuring compatibility between new robotic systems and legacy equipment, customizing solutions to meet unique production requirements, and minimizing downtime during installation and testing. Effective communication with cross-functional teams—including production, maintenance, and IT—is vital to address unforeseen technical issues and to ensure seamless integration. Additionally, balancing project timelines with safety and quality standards requires strong project management and problem-solving skills.

What does a Robotics Application Engineer do?

A Robotics Application Engineer is responsible for designing, developing, and implementing robotic systems to automate manufacturing or business processes. They work closely with clients to understand their automation needs, select appropriate hardware and software, and integrate robotics solutions into existing workflows. Their role often includes programming robots, troubleshooting issues, providing technical support, and training end-users. Robotics Application Engineers play a crucial part in improving efficiency, safety, and productivity in industries ranging from automotive to electronics and logistics.
What cities in Washington are hiring for Robotics Application Engineer jobs? Cities in Washington with the most Robotics Application Engineer job openings:
Infographic showing various Robotics Application Engineer job openings in Washington as of July 2026, with employment types broken down into 78% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $125,377 per year, or $60.3 per hour.
Automation / AIOps Engineer

Automation / AIOps Engineer

Node.Digital

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Automation / AIOps Engineer

Location: Washington, DC

Preferred: US Citizen

Job Description:

The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes. The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).

Requirements

Required Skills:

  • Strong expertise in automation technologies, including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools.
  • Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.
  • Experience in developing and maintaining automation workflows, scripts, and templates.
  • Ability to apply advanced analytics and machine learning models to improve operational outcomes.
  • Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.
  • Strong problem-solving skills to detect operational drift and emerging failure conditions.
  • Excellent communication and collaboration abilities to work with cross-functional teams and stakeholders.

Nice To Have:

  • Familiarity with natural language processing (NLP), computer vision, and TensorFlow-based ML models.
  • Experience with scikit-learn and pandas for processing operational data at scale.
  • Knowledge of AI/ML pipelines and foundation model prompts.
  • Understanding of FinOps practices and cost management tools.
  • Experience with ServiceNow, monitoring tools, and configuration repositories.
  • Ability to collaborate with infrastructure automation teams and other contractor teams.

Certifications:

  • Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.
  • Certifications in AIOps and machine learning, such as AWS Certified Machine Learning - Specialty or Google Cloud Professional Machine Learning Engineer.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training