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Autonomous Systems Jobs in Virginia (NOW HIRING)

Autonomy Software Engineer

Arlington, VA ยท On-site

$120K - $165K/yr

About the role Forterra is seeking a software engineer with a passion for autonomous systems. In this role, you will design, develop, and field software solutions that enable intelligent behavior in ...

Lead Autonomy Software Engineer

Arlington, VA ยท On-site

$150K - $250K/yr

About the role Forterra is seeking a senior software engineer with a passion for autonomous systems. In this role, you will design, develop, and field software solutions that enable intelligent ...

Develops mechanical, electrical, hydraulic, and electro-mechanical systems for use on large mining haul trucks and/or large autonomous mining haul trucks. * Performs system calculations and/or ...

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Autonomous Systems information

What are the key skills and qualifications needed to thrive in the Autonomous Systems position, and why are they important?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

Which 3 jobs will survive AI?

In the field of autonomous systems, jobs such as robotics engineers, systems integrators, and maintenance technicians are likely to persist because they require complex problem-solving, hands-on skills, and oversight that AI cannot fully replicate. These roles involve designing, deploying, and maintaining autonomous technologies, often requiring specialized knowledge of hardware, software, and safety protocols.

What engineers make $500,000?

Senior engineers in fields like autonomous systems, robotics, and software engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI or machine learning, and leadership roles. High compensation is often associated with executive positions, specialized expertise, or working at large tech companies and startups with stock options or bonuses.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with extensive experience in robotics, AI, and machine learning, can earn $300,000 or more annually. These roles often require advanced skills, certifications, and leadership responsibilities in developing and deploying autonomous technologies in industries like automotive, aerospace, or defense.

What is an Autonomous Systems job?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are some common challenges faced by professionals working in Autonomous Systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions, with some roles requiring specialized certifications or advanced degrees.
What are the most commonly searched types of Autonomous Systems jobs in Virginia? The most popular types of Autonomous Systems jobs in Virginia are:
What job categories do people searching Autonomous Systems jobs in Virginia look for? The top searched job categories for Autonomous Systems jobs in Virginia are:
Infographic showing various Autonomous Systems job openings in Virginia as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

Senior Director, Sensors and Autonomous Systems with Security Clearance

Lyntris Inc

Falls Church, VA โ€ข On-site

Other

Posted 6 days ago


Job description

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments. Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge. Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding. Job Description * Senior Director, Sensors and Autonomous Systems * Full Time * Hybrid / Onsite The Senior Director, Sensors and Autonomous Systems is the leader responsible for the strategy, financial performance, growth, and execution of the Sensors and Autonomous Systems portfolio within Accelint Intelligent Systems. This position leads Program Managers, Directors, and multidisciplinary teams responsible for developing, integrating, producing, testing, fielding, and sustaining unmanned vessels, mission payloads, autonomy software, low-SWaP-C sensors, and related mission technologies. The Senior Director ensures programs meet profit and loss performance and ensures programs achieve their revenue, margin, cash, schedule, technical, quality, and customer commitments. The Senior Director also serves as the principal bridge between growth and execution. Working with mission architects, growth leaders, capture teams, technical leaders, customers, and Program Managers, this leader ensures qualified opportunities are matured into executable programs. This includes validating that proposed solutions are operationally relevant, technically achievable, appropriately priced, contractually executable, and supported by credible staffing, facilities, supplier, integration, and test plans. Duties & Responsibilities Portfolio Strategy and Leadership * Establish and implement the strategy for the Sensors and Autonomous Systems portfolio in alignment with Accelint Intelligent Systems priorities, customer mission needs, and company growth objectives. * Provide executive leadership across unmanned vessels, payload integration, autonomy software, low-SWaP-C sensors, and associated mission systems. * Lead, develop, and hold accountable Program Managers, Directors, and portfolio leaders responsible for program execution, capability development, integration, production, test, and customer delivery. * Translate company strategy into portfolio priorities, investment decisions, technology roadmaps, organizational requirements, and measurable operating objectives. * Ensure the portfolio operates as an integrated business rather than as a collection of independent programs, products, or technical capabilities. * Establish clear decision rights, performance expectations, and operating interfaces among Program Management, Engineering, Product, Operations, Growth, Finance, Program Controls, Contracts, Supply Chain, Manufacturing, Test, and Mission Architecture. * Build a high-performing leadership team capable of managing current execution while preparing the portfolio for increased production, fielding, and customer demand. Profit and Loss Management * Own portfolio profit and loss performance, including revenue, gross margin, operating contribution, cash flow, backlog, investment, and forecast accuracy. * Establish financial and operating targets for subordinate programs and capability areas and hold Program Managers and Directors accountable for achieving approved plans. * Review program financial performance, estimates at completion, staffing, material costs, supplier commitments, indirect usage, capital requirements, and margin risks. * Ensure corrective actions are established and executed when programs deviate from cost, schedule, revenue, margin, cash, or delivery objectives. * Partner with Finance and Program Controls to maintain credible program baselines, accurate forecasts, disciplined cost management, and timely executive reporting. * Evaluate portfolio investments based on customer demand, technical maturity, competitive advantage, expected return, and alignment with company strategy. * Balance near-term financial performance with investments required to mature products, improve manufacturability, increase reliability, and scale delivery. Portfolio Execution and Delivery * Ensure programs deliver contractual requirements, prototypes, production units, software releases, payload integrations, demonstrations, test events, and fielded capabilities on time and within approved cost. * Maintain portfolio-level visibility into scope, schedule, budget, technical performance, quality, staffing, supplier performance, customer dependencies, and contractual obligations. * Conduct recurring program reviews focused on measurable outcomes, emerging risks, recovery actions, customer commitments, and decisions requiring executive intervention. * Ensure Program Managers maintain integrated plans connecting technical development, procurement, manufacturing, integration, software delivery, test, certification, logistics, training, and fielding. * Provide executive oversight for programs transitioning from experimentation or prototype development into repeatable production and operational deployment. * Ensure speed and innovation do not come at the expense of configuration discipline, safety, cybersecurity, quality, reliability, supportability, or production readiness. * Resolve cross-program dependencies involving vessel platforms, autonomy software, payloads, sensors, communications, infrastructure, personnel, and test resources. * Escalate material cost, schedule, technical, customer, contractual, or organizational risks with clear recommendations and decision options. Growth-to-Execution Integration * Own the portfolio operating process for transitioning opportunities from mission development and capture into executable programs. * Partner with mission architects and growth leaders to assess customer problems, operational concepts, requirements, competitive conditions, acquisition pathways, funding, and probability of award. * Ensure opportunities entering the qualified pipeline align with portfolio strategy, technical capabilities, customer priorities, and realistic paths to funding and contract award. * Establish structured gates for opportunity qualification, solution development, bid decisions, proposal approval, contract transition, and program startup. * Ensure proposed solutions are technically feasible, appropriately scoped, competitively differentiated, executable within schedule, and supported by credible cost and staffing estimates. * Assign accountable program, technical, and operational leaders early enough in the opportunity lifecycle to preserve continuity from solution development through execution. * Prevent disconnects between commitments made during mission architecture, business development, capture, proposal development, negotiation, and program delivery. * Validate that proposed work can be executed with available personnel, facilities, suppliers, technology, production capacity, test resources, and security infrastructure. * Ensure newly awarded work enters execution with an approved baseline, accountable leadership, staffing plan, customer engagement strategy, risk register, contract summary, and documented assumptions. * Track pipeline conversion, award timing, backlog growth, recompete exposure, customer concentration, and resource demand across the portfolio. Customer and Mission Engagement * Serve as a senior customer-facing leader and maintain trusted relationships across operational commands, acquisition organizations, research organizations, resource sponsors, laboratories, industry partners, and mission stakeholders. * Maintain a strong understanding of customer missions, concepts of employment, operational constraints, acquisition strategies, funding priorities, and capability gaps. * Ensure customer feedback from demonstrations, experimentation, exercises, test events, and deployed operations informs product roadmaps and portfolio investment decisions. * Communicate program performance, risks, decisions, and recovery plans candidly and professionally. * Build coalitions across government, industry, academia, suppliers, and strategic partners to strengthen delivery and expand mission impact. * Represent the portfolio during executive reviews, customer engagements, demonstrations, industry events, strategic planning sessions, and partner discussions. * Protect customer trust by ensuring the organization makes achievable commitments and consistently delivers against them. Product and Technical Portfolio Alignment * Partner with Engineering and Product leadership to maintain integrated roadmaps across vessel platforms, payload interfaces, autonomy software, sensors, communications, command and control, and mission applications. * Ensure platform and product decisions support modularity, open architectures, common interfaces, reusability, interoperability, and integration of government- and industry-provided capabilities. * Promote common technical baselines and reusable components where they reduce cost, schedule, integration