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Remote Robotics Engineer Jobs in Ashburn, VA (NOW HIRING)

IoT / Edge Software Engineer

Bethesda, MD · On-site +1

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE), Maryland (US-MD), United States (US). Job Summary: The IoT Edge Software Engineer is responsible for the ...

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain a Public Trust Criteria: Need US citizenshipbecause of federal regulations ...

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... Microsoft Certified Systems Engineer (MCSE) * Network+ Certified * Microsoft Azure Administrator AZ ...

AI & ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0242901 Location: Chantilly,VA,US Share job via: Share AI & ML Engineer The Opportunity: As an experienced engineer, you know that machine learning is critical to ...

THIS IS A REMOTE POSITION; however, team members should be willing and able to travel if the need ... Microsoft Certified Systems Engineer (MCSE) * Network+ Certified * Microsoft Azure Administrator AZ ...

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

... products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 ... Mission Engineers support the Mission Engineering Lead in efforts to translate Warfighter needs ...

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

... products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 ... Mission Engineers support the Mission Engineering Lead in efforts to translate Warfighter needs ...

NRO Payload Engineer

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Payload Subject Matter Expert to support the NRO GEOINT Directorate. This is a Systems Engineering and Technical Assistance ...

Mission Engineer

Chantilly, VA · On-site +1

$180K - $220K/yr

... products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 ... Mission Engineers support the Mission Engineering Lead in efforts to translate Warfighter needs ...

Showing results 41-60

Remote Robotics Engineer information

See Ashburn, VA salary details

$29.7K

$108K

$172.8K

How much do remote robotics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote robotics engineer in Ashburn, VA is $107,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a remote robotics engineer?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are some typical challenges a remote robotics engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the key skills and qualifications needed to thrive as a remote robotics engineer, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are the most commonly searched types of Robotics Engineer jobs in Ashburn, VA?

The most popular types of Robotics Engineer jobs in Ashburn, VA are:

What job categories do people searching Remote Robotics Engineer jobs in Ashburn, VA look for?

The top searched job categories for Remote Robotics Engineer jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Remote Robotics Engineer jobs?

Cities near Ashburn, VA with the most Remote Robotics Engineer job openings:

Infographic showing various Remote Robotics Engineer job openings in Ashburn, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $107,992 per year, or $51.9 per hour.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

Mclean, VA • On-site, Remote

$105K - $145K/yr

Full-time

Re-posted 24 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

92nd of 171 rated banks


Job description

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

  • You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.

  • A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them.

  • Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.

  • Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.

  • You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.

  • You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs

  • Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities.

The Ideal Candidate:

  • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

  • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

  • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

  • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

  • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies

  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

  • 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen)

  • 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning)

  • 8+ years of experience designing mission-critical machine learning platforms

  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems

  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level

  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

  • Master's degree in Computer Science, Computer Engineering, or relevant technical field

  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

  • Experience leading GenAI or LLM-Powered application architectures in production

  • Deep understanding of Responsible AI, data privacy and multi-tenant security patterns

  • K8s mastery (multi-region clusters, service mesh)

  • Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer


Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer






Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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