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Remote Autonomous Driving Engineer Jobs in Virginia

Senior Flight Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

You will also contribute to Scout's autonomy software which executes autonomous tasking and ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

$121K - $159K/yr

This Senior Software engineer Role is ideal for someone who enjoys autonomy and working within a very experienced team. The role is mostly remote with occasional trips into the office in Richmond, VA.

Lead System Engineer

Arlington, VA · On-site +1

$157K - $224K/yr

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software ... Demonstrated success driving industry best practices in areas such as code review, unit testing ...

Background in space domain awareness (SDA), remote sensing, or on-orbit autonomy * Familiarity with ... engineering team to provide more opportunities to work and collaborate in-person. This position ...

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software ... Demonstrated success driving industry best practices in areas such as code review, unit testing ...

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software ... Demonstrated success driving industry best practices in areas such as code review, unit testing ...

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Remote Autonomous Driving Engineer information

What are the unique challenges of collaborating with global teams as a Remote Autonomous Driving Engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is a Remote Autonomous Driving Engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

What is the difference between Remote Autonomous Driving Engineer vs Remote Autonomous Vehicle Software Developer?

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Driving Engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.
What are the most commonly searched types of Autonomous Driving Engineer jobs in Virginia? The most popular types of Autonomous Driving Engineer jobs in Virginia are:
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Distinguished Engineer (Remote - Eligible)

Distinguished Engineer (Remote - Eligible)

Capital One

Richmond, VA • On-site, Remote

Full-time

Posted 9 days ago


Key responsibilities

  • Architect intelligent, real-time risk management products in partnership with Anti-Money Laundering & Sanctions teams using advanced technologies like Artificial Intelligence.

  • Write high-quality production code, participate in complex system design reviews, and review critical application repositories.

  • Mentor engineers and act as a role model within the tech community to strengthen technical expertise and know-how.


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

67th of 142 rated banks


Job description

Distinguished Engineer (Remote - Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

Our Mission in Risk Technology

We establish the foundational technology that allows Capital One to operate successfully in an uncertain environment. Our team is intelligent, engaged, and empowered, working together to deliver exceptional products that advance our shared goal: revolutionizing risk management through technology. We develop advanced, data-driven tools that leverage machine learning and AI capabilities to proactively prevent risks and automatically identify potential issues before they can harm our business, customers, or communities.


Your Impact in This Role

You will partner directly with the Anti-Money Laundering & Sanctions teams to architect intelligent, real-time risk management products, heavily utilizing cutting-edge technologies like Artificial Intelligence. Your responsibilities extend beyond merely executing on a set roadmap; you will be a visionary strategist. You will define and introduce modern technologies to solve critical problems, including those our stakeholders haven't yet envisioned. This is a hands-on technical role. You are expected to dive deep into the codebase, write high-quality production code, actively participate in complex system design reviews, and mentor engineers through practical, on-the-ground technical leadership.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application

  • Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility

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

Basic Qualifications:
  • Bachelor's Degree

  • At least 7 years of experience in Software engineering and solution architecture

  • At least 7 years of experience in Enterprise architecture and design patterns

  • At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)

  • At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures

Preferred Qualifications:
  • Bachelors' or Master's Degree in Computer Science or a related field

  • 10+ years of experience in Software Engineering and solution architecture

  • 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.

  • 8+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

  • Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing)

  • Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing)

  • Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions

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): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished 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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