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Parsons

Digital infrastructure and security solutions provider

Autonomy and Computer Vision Product Owner

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeTampa, FL, USA$125.1k - $225.2kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, Software Engineering, or a related technical discipline is required.
  • At least 8 years of relevant professional experience supporting autonomy, computer vision, artificial intelligence and machine learning, software development, systems engineering, product ownership, or related technical programs is required.
  • Demonstrated experience with autonomy software, autonomous platforms, computer vision architectures, Automated Target Recognition algorithms, deep-learning frameworks, and model deployment is required.
  • Experience with PyTorch, ONNX, TensorRT, containerized microservices, and edge artificial intelligence and machine learning deployment environments is required.
  • Working knowledge of unmanned aerial systems, unmanned ground systems, Electro-Optical/Infrared sensors, tactical edge computing, autonomous vehicle integration, and operational mission workflows is required.
  • Demonstrated experience as a Technical Product Owner, Product Manager, Systems Engineer, Technical Lead, or comparable technical leader supporting complex software systems is required.
  • Experience applying Agile/Scrum methodologies to requirements development, backlog prioritization, sprint planning, release management, and capability validation is required.
  • Experience evaluating software integration, system performance, and verification activities across simulation, laboratory, and operational field environments is required.

Responsibilities

  • Lead the autonomy and computer vision product roadmap by partnering with the Chief Engineer and program leadership to define product vision, capability priorities, technical roadmap, and release strategy for autonomy, computer vision, and artificial intelligence and machine learning software.
  • Translate operational needs into software capabilities by working with operators, mission analysts, systems engineers, and software teams to convert mission needs into measurable and testable software behaviors, performance thresholds, requirements, and acceptance criteria.
  • Own product planning and backlog execution by developing and maintaining capability roadmaps, release plans, milestones, schedules, epics, user stories, acceptance criteria, and prioritized backlogs using Agile/Scrum practices.
  • Coordinate multi-vendor software development by managing capability dependencies, interfaces, integration priorities, and delivery risks across vendors while maintaining compatibility with the government-owned software baseline.
  • Assess software supporting platform behavior, autonomous vehicle control, mission planning and execution, multi-vehicle coordination, dynamic mission response, fail-safe logic, geofencing, mission interruption, and recovery behaviors.
  • Work with data scientists, artificial intelligence and machine learning engineers, MLOps specialists, and systems engineers to evaluate computer vision models, Automated Target Recognition capabilities, performance benchmarks, datasets, synthetic data, labeling processes, and deployment readiness.
  • Evaluate containerized Automated Target Recognition microservices, Software Development Kit conformance, model optimization, compute and sensor requirements, resource utilization, and deployment readiness in resource-constrained tactical edge environments.
  • Determine whether vendor-developed capabilities satisfy established interfaces, architecture constraints, data requirements, performance standards, cybersecurity requirements, and integration criteria for incorporation into the government-owned baseline.
  • Work with operators, autonomy engineers, and systems engineers to define representative mission threads and translate validated mission needs into multi-platform and multi-domain autonomous behaviors.
  • Coordinate with engineering and test teams to develop or execute Advanced Framework for Simulation, Integration, and Modeling scenarios or comparable simulations to evaluate autonomous behaviors, system performance, and mission outcomes.
  • Establish measurable acceptance standards for behavior trees, finite-state machines, fail-safe behaviors, geofence responses, dynamic-threat reactions, autonomous mission execution, artificial intelligence and machine learning performance, and other platform-logic capabilities.
  • Review results from modeling and simulation, Software-in-the-Loop, Hardware-in-the-Loop, Vehicle-in-the-Loop, laboratory, and field testing to assess performance, reliability, safety, interoperability, and mission suitability.
  • Plan and support technical demonstrations, integration events, developmental and operational test activities, user evaluations, exercises, and capability acceptance milestones.
  • Monitor technical deliverables, schedules, integration readiness, test results, dependencies, and applicable contract requirements; identify risks and performance gaps early and provide technically grounded recommendations to program leadership.
  • Capture feedback from operational users, demonstrations, test events, exercises, and field evaluations, and incorporate validated findings into product priorities, backlog decisions, and future development plans.

Desired Qualifications

  • A master's degree in Computer Science, Robotics, Engineering, Artificial Intelligence, or another relevant technical discipline is desired.
  • Experience with the Scaled Agile Framework and Atlassian tools, including Jira and Confluence, is desired.
  • Experience supporting multi-vendor software development and integration within a government-owned software baseline is desired.
  • Experience with multi-vehicle coordination, collaborative autonomy, multi-domain operations, and autonomous mission planning and execution is desired.
  • Experience with agentic or cognitive artificial intelligence architectures is desired.
  • Experience with MLOps, synthetic data generation, data labeling, dataset curation, model benchmarking, and model optimization is desired.
  • Experience deploying computer vision or artificial intelligence and machine learning capabilities to resource-constrained tactical edge devices is desired.
  • Experience developing or evaluating behavior trees, finite-state machines, autonomous platform behaviors, and mission logic is desired.
  • Experience with Advanced Framework for Simulation, Integration, and Modeling or comparable modeling and simulation environments is desired.
  • Experience working directly with military operators and supporting operational demonstrations, developmental testing, operational testing, user evaluations, exercises, or fielding activities is desired.
  • Experience supporting Department of War autonomy, artificial intelligence and machine learning, unmanned systems, C5ISR, or mission-command programs is desired.

About the Company

Parsons

Digital infrastructure and security solutions provider

Parsons provides digitally enabled solutions in national security, defense, and global infrastructure. Its work spans government and commercial clients, offering services in systems and software engineering, quality assurance, compliance, and security, along with large-scale infrastructure projects and advanced technology implementations. The company helps clients by delivering long-term, contract-based engagements that include AI readiness, data preparation for AI applications, and secure, reliable systems. A key differentiator is its breadth across diverse markets and its emphasis on rigorous systems engineering, QA, compliance, and security to ensure the integrity of critical operations while harnessing AI to improve efficiency and safety. Parsons’ goal is to solve complex security and infrastructure challenges through measurable, value-driven solutions and long-lasting partnerships with clients.

Company size
10,001+
Company stage
IPO
Headquarters
Chantilly, VA
Founded
1944

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