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Remote Autonomous Driving Engineer Jobs in Concord, NC

Remote Start Date: ASAP Duration: Contract-to-Hire, 6-12 months Compensation Range: $50-53/hr W2 ... Work as part of a small, tight-knit engineering team in a collaborative and autonomous capacity.

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

Agentic AI Engineer

Charlotte, NC · Remote

$140K - $175K/yr

Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt ... Develop reusable agent templates and autonomous workflows integrated with enterprise applications.

Note this position is remote US based in EST or CST About The Role AI capabilities at Genesys power ... Operating with high autonomy, you will partner with engineering, security, legal, and business ...

Manager, Software Engineering

Charlotte, NC · On-site +1

$195K - $257K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... remote teams * The ability to thrive on a fast pace environment with high level of autonomy and ...

Showing results 21-40

Remote Autonomous Driving Engineer information

See Concord, NC salary details

$55K

$127.9K

$183K

How much do remote autonomous driving engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote autonomous driving engineer in Concord, NC is $127,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $182,600.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Remote Autonomous Driving Engineer jobs in Concord, NC look for?

The top searched job categories for Remote Autonomous Driving Engineer jobs in Concord, NC are:

What cities near Concord, NC are hiring for Remote Autonomous Driving Engineer jobs?

Cities near Concord, NC with the most Remote Autonomous Driving Engineer job openings:

Infographic showing various Remote Autonomous Driving Engineer job openings in Concord, NC as of August 2026, with employment types broken down into 68% Full Time, 28% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,887 per year, or $61.5 per hour.

Sr. Servicenow Engineer

Mondo

Charlotte, NC • Remote

$50 - $53/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted yesterday


Job description

Job Title: ServiceNow Engineer Location-Type: Remote Start Date: ASAP Duration: Contract-to-Hire, 6-12 months Compensation Range: $50-53/hr W2 (140K Conversion Salary) Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: This role is responsible for hands-on delivery of ServiceNow solutions, including module implementation, workflow development, and third-party integrations, in close partnership with an implementation partner and internal stakeholders. Job Summary Implement and configure ServiceNow modules from the ground up, following a 2-3 year enhancement roadmap. Build and maintain integrations between ServiceNow and third-party systems or ERP platforms. Develop and optimize workflow engine configurations to support business process requirements. Partner with an external implementation partner during onboarding, contributing to co-development efforts. Collaborate with business stakeholders to translate non-technical requirements into buildable solutions. Provide production support, including bug resolution and iterative enhancements. Work as part of a small, tight-knit engineering team in a collaborative and autonomous capacity. Minimum Requirements: 5 years of hands-on ServiceNow experience with demonstrated ground-up implementation ownership. Proven experience building integrations between ServiceNow and third-party systems or ERP platforms. Strong configuration experience within the ServiceNow platform. Experience working directly with the ServiceNow workflow engine. Ability to communicate technical concepts clearly to non-technical business stakeholders. Self-directed, proactive, and capable of operating with a high degree of autonomy. Preferred Qualifications: Experience with ServiceNow Source-to-Pay module. Scripting experience within ServiceNow. Background in a complementary technical discipline, such as data engineering, business analysis, or data analytics, prior to specializing in ServiceNow. Python or similar scripting language proficiency.