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Senior Robotics Software Engineer Jobs in Virginia

Senior Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

As a Senior Software Engineer , you will also contribute to a variety of areas including: * Leading projects and acting as a mentor to less experienced developers * Collaborating with the TRSS ...

Senior Software Engineer

Reston, VA · On-site

$127K - $168K/yr

The Senior Software Engineer will implement solutions for complex software products and features, ensuring high quality through design, implementation, and testing. Responsibilities : • participate ...

Senior Software Engineer

Richmond, VA · On-site

$90K - $110K/yr

Senior Software Engineer Our client, in the specialty transportation industry, is seeking a Senior Software Engineer to join their team, hit the ground running, and help drive to success.This is a ...

Senior Software Engineer

Springfield, VA · On-site

$140K - $160K/yr

As a Senior Software Engineer, you will play a key role in supporting the Geospatial Intelligence Agency (NGA) by designing, developing, and maintaining geospatial intelligence applications. Your ...

Senior Software Engineer

Sterling, VA · On-site

$121K - $159K/yr

Senior Software Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

... senior software engineer with a passion for autonomous systems. In this role, you will design, develop, and field software solutions that enable intelligent behavior in robotics and automation ...

Senior RPA UIPath Developer

Herndon, VA · On-site

$56 - $74/hr

Senior RPA UIPath Developer Location: Herndon, VA (Hybrid Work) Required: US Citizenship ... software, all while upholding stringent security protocols. Your proficiency in RPA development ...

Senior RPA UIPath Developer

Herndon, VA · On-site

$56 - $74/hr

Senior RPA UIPath Developer Location: Herndon, VA (Hybrid Work) Required: US Citizenship ... software, all while upholding stringent security protocols. Your proficiency in RPA development ...

Showing results 41-60

Senior Robotics Software Engineer information

See Virginia salary details

$74.9K

$142.1K

$190.4K

How much do senior robotics software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior robotics software engineer in Virginia is $142,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $160,100.00 per year, depending on experience, location, and employer.

What is a senior robotics software engineer?

Senior Robotics Software Engineers are experienced professionals who design, develop, and maintain software systems that control robots and automated machinery. They work on advanced algorithms, perception, motion planning, and integration with hardware to enable robotic systems to perform complex tasks safely and efficiently. These engineers often lead technical projects, mentor junior team members, and collaborate with cross-disciplinary teams to bring innovative robotic solutions to life. Their expertise is crucial in industries such as manufacturing, healthcare, logistics, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as a senior robotics software engineer?

To thrive as a Senior Robotics Software Engineer, you need advanced programming skills (often in C++, Python, or ROS), a strong background in computer science or engineering, and extensive experience with robotics algorithms. Familiarity with simulation tools (like Gazebo or MATLAB), version control systems, and relevant certifications in robotics or AI are highly valuable. Problem-solving, leadership, and excellent communication skills help drive complex projects and mentor junior engineers. These skills are essential to develop robust robotic systems, ensure seamless team collaboration, and deliver innovative solutions in a rapidly evolving field.

What are some typical challenges a senior robotics software engineer faces when integrating software with hardware systems?

A Senior Robotics Software Engineer often encounters challenges when ensuring that the software communicates reliably and efficiently with a variety of hardware components, such as sensors, actuators, and embedded controllers. Debugging real-time issues, handling latency, and synchronizing multiple subsystems are common hurdles. Additionally, adapting software to accommodate frequent hardware changes or updates and maintaining robust system performance under different operating conditions require both technical depth and strong cross-disciplinary collaboration with hardware engineers and technicians.

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

AspectSenior Robotics Software EngineerRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related field; experience preferredBachelor's in relevant field; entry-level to mid-level experience
Work EnvironmentResearch labs, manufacturing, or tech companies focusing on robotics developmentSimilar environments, often in startups or established tech firms
Employer & Industry UsageUsed in robotics companies, automation firms, and research institutionsCommon in similar industries, often as entry to mid-level roles

The main difference between a Senior Robotics Software Engineer and a Robotics Software Engineer lies in experience and responsibility. Senior roles typically require more experience, leadership, and project management skills, whereas entry-level roles focus on developing core technical skills. Both roles are vital in robotics development across various industries.

What are the most commonly searched types of Robotics Software Engineer jobs in Virginia?

The most popular types of Robotics Software Engineer jobs in Virginia are:

Infographic showing various Senior Robotics Software Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,062 per year, or $68.3 per hour.

Staff, Software Engineer - Motion Planning (Unstructured Environments)

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

About The Company:  

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet The Team:  

Torc is hiring a Staff Motion Planning Engineer to lead technical development for the planning, prediction, and decision-making systems that determine how our autonomous trucks navigate the world safely, efficiently, and predictably. Our team operates at the intersection of robotics, machine learning, optimization, simulation, and safety, building the core autonomy capabilities that translate perception into action. 

What You'll Do:  

This role is focused on motion planning, trajectory generation, and trajectory optimization for autonomous vehicles in unstructured environments. You will provide technical leadership across teams and platforms, driving architectural strategy, engineering excellence, and scalable system design.  You will lead high-impact technical initiatives, influence long-term engineering direction, and contribute directly to the design, development, validation, and deployment of planning capabilities.   

This role operates at a multi-team level with broad organizational impact. You will work closely with engineers and leaders across autonomy, controls, simulation, safety, and validation to help deliver safe, robust, and reliable autonomy behaviors at scale.   

  • Technical Leadership
    • Defining and maintaining the architectural vision across teams, platforms, and services to ensure scalability, reliability, maintainability, long-term technical alignment, and consistency of software design patterns
    • Supporting Engineering Managers and Senior ICs in resolving complex technical design, architecture, and implementation challenges across multiple domains while balancing feasibility against business objectives
    • Establishing and promoting engineering best practices for code quality, automated testing, performance optimization, monitoring, security, and operational excellence
    • Conducting architecture reviews, technical deep dives, design sessions, and technical assessments to guide engineering decisions and solution direction
    • Mentoring and coaching senior and mid-level engineers while helping grow future Staff and Principal engineers through technical guidance and leadership development
    • Fostering a culture of engineering excellence, documentation, collaboration, innovation, and knowledge sharing across the organization
    • Translating complex technical concepts, trade-offs, and architectural decisions into clear recommendations for leadership and cross-functional stakeholders
    • Leading major technical initiatives such as platform modernization, observability enhancements, performance optimization, scalability improvements, and reliability engineering efforts 
  • Software Development
    • Design, develop, and optimize motion planning algorithms including trajectory generation, trajectory selection, behavior planning, and optimization-based planning approaches for autonomous trucks.
    • Develop planning solutions leveraging techniques such as graph search, sampling-based planning, optimization-based planning, spline/B-spline trajectories, convex optimization, and Frenet-frame approaches.
    • Incorporate vehicle kinematic and dynamic constraints into planning systems to ensure safe, feasible, and comfortable vehicle behavior.
    • Develop production-quality software using modern C++ within a Linux environment while adhering to quality, safety, testing, and deployment best practices.
    • Collaborate closely with Safety, Controls, Perception, Validation, and Simulation teams to develop safe and reliable autonomous driving behaviors. 
  • Testing, Integration, and Metrics
    • Develop and execute validation strategies across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) environments.
    • Investigate and debug vehicle behavior by reproducing issues in simulation, analyzing system performance, and implementing software improvements.
    • Support vehicle integration, deployment activities, and post-deployment investigations to ensure reliable autonomy performance.
    • Perform on-vehicle troubleshooting using real-time diagnostic tools and in-depth log analysis. 

We are seeking a Software Engineer who is passionate about solving challenging autonomy problems and building production-quality software for real-world autonomous systems. 

What You'll Need to Succeed:  

  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field with: 10+ years of industry experience OR Master's degree with 7+ years of experience OR PhD with 5+ years of experience.
  • Proven experience operating as a Staff, Principal, or multi-team technical leader within complex engineering organizations including experience leading large cross-functional technical initiatives across multiple engineering teams
  • Deep expertise developing robotics, autonomous vehicle, ADAS, or other complex real-time software systems.
  • Deep expertise in modern C++ development within Linux-based environments.
  • Diverse experience developing motion planning, trajectory generation, trajectory optimization, behavior planning, or decision-making systems for robotics or autonomous systems.
  • Strong understanding of vehicle dynamics, vehicle kinematics, trajectory feasibility, and planning system architecture.
  • Strong foundation in linear algebra, numerical optimization, geometry, and robotics algorithms.
  • Hands-on experience with analyzing metrics to optimize performance in a resource-constrained environment.
  • Excellent troubleshooting skills with the ability to perform both real-time diagnostics and in-depth post-analysis.
  • Mastery of software engineering fundamentals, system design principles, and scalable development practices.
  • Experience with version control (Git), build systems, and package management.
  • Understanding of test automation principles and proficiency with unit testing and test automation frameworks (pytest, Robot Framework, gtest, etc.)
  • Strong problem-solving skills and the ability to debug complex system-level issues.
  • Excellent communication and collaboration skills within cross-functional engineering teams.
  • Ability to work independently while contributing effectively within a highly collaborative environment. 

Bonus Points! 

  • Experience with Model Predictive Path Integral (MPPI), Model Predictive Control (MPC), convex optimization, quadratic programming (QP), nonlinear optimization, or other optimization-based planning techniques for autonomous vehicles.
  • Experience applying machine learning techniques such as imitation learning, reinforcement learning, or hybrid planning architectures.
  • Experience integrating machine learning models into real-time or production systems.
  • Experience working with simulation platforms and large-scale autonomy validation environments.
  • Experience with robotics frameworks such as ROS/ROS2, Autoware, Apollo, or similar autonomy platforms.
  • Exposure to CUDA, GPU acceleration, TensorRT, or high-performance compute environments.
  • Experience supporting on-vehicle testing, debugging, and deployment activities.
  • Passion for autonomous vehicles, robotics, and solving complex real-world engineering challenges.
  • Contributions to open-source projects related to embedded Linux, robotics, or deployment automation. 

Work Location: For this position, we are open to hiring in our Blacksburg, VA office work location in a hybrid capacity.  We are also open to hiring Remote in the United States & Canada with semi-monthly travel to Blacksburg, VA.  Some travel to Europe may be required. 

U.S. Citizenship Requirement:  

This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role. This requirement is based on applicable government regulations and is not related to immigration status discrimination. 

Perks of Being a Full-time Torc'r 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees   
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance  

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID: R-102807