Bright Vision Technologies is seeking a QA Automation Engineer to improve software quality through structured testing, automation, defect analysis, and release validation.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Review requirements and identify test conditions, acceptance criteria, and release risks.
Design and execute functional, integration, regression, API, mobile, or non-functional test scenarios.
Develop and maintain reusable automated tests or test frameworks where applicable.
Record defects with reproducible evidence, validate fixes, and communicate test status.
Work with engineers and product teams to improve coverage, testability, and release confidence.
We are seeking a Windows Engineering Manager to lead a team of 8–10 engineers/technicians supporting enterprise Windows endpoints. The role will focus on Windows engineering, endpoint management, security, automation, and modernization.
Compensation
$155,000–$209,000/year + 20% bonus
Responsibilities
Lead a team of 8–10 engineers/technicians supporting enterprise Windows endpoints
Focus on Windows engineering, endpoint management, security, automation, and modernization
Manage enterprise testing, POCs, and vendor evaluations
Manage endpoint security, patching, compliance, and troubleshooting
Senior Software Developer responsible for designing, developing, and maintaining modern web applications and Python-based ETL pipelines to support operational reporting and intelligent automation for the Homeland Security Team.
Compensation
Pay: $130,000.00 - $150,000.00 per year
Responsibilities
Design, develop, and maintain modern web applications using React that integrate with backend data automation workflows.
Build and support Python-based ETL pipelines to extract, transform, and load data into the enterprise reporting platform.
Collaborate with automation engineers, analysts, and cloud engineers to design intuitive, data-driven user interfaces.
Integrate frontend components with APIs and automation services built using tools such as Apache Airflow and Databricks.
Participate in sprint planning and technical discussions to refine system designs and requirements.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets and support mission-critical cybersecurity capabilities.
Locations (2)
Annapolis Junction, Maryland, United States
Fort Meade, Maryland, United States
Responsibilities
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets
Design and build analytical models that identify patterns, trends, and meaningful insights from large volumes of data
Collaborate with subject matter experts to identify valuable information within raw data and translate analytical requirements into technical solutions
Develop scripts and tools to extract, process, and analyze data from sources such as SQL databases, structured metadata, and network logs
Create data visualizations, reports, and analytical products that communicate findings and support informed decision-making
Lead Site Reliability Engineer responsible for making Hanwha Vision's global cloud platform observable, automated, and reliable, leading SRE practices across US, Korea, and India teams.
Locations (3)
New Jersey, United States
Carlsbad, California, United States
United States
Responsibilities
Own the design and quality of our monitoring stack
Own the full tuning chain for wearable platforms, including 3A tuning, low-light techniques, and motion artifact handling.
Compensation
Salary Range is $140,000. to $160,000 annually.
Responsibilities
Own the full tuning chain: black level, lens shading, defect correction, demosaic, noise reduction, sharpening, color matrices, gamma, tone mapping, and overall look
Tune 3A (exposure, white balance, flicker) on a wearable platform where convergence behavior during rapid lighting transitions matters more than steady-state accuracy
Make low light work without optical stabilization, using multi-frame techniques that respect a strict power budget
Handle motion, including ghosting and fusion artifacts from a head-mounted camera that is always moving
Build the measurement methodology for model-facing image quality, scoring tuning on downstream task accuracy, and determine whether to ship one tuning or two
Requirements
Nice to have: Qualcomm Spectra
Nice to have: Chromatix
Nice to have: machine-learning consumption imagery
Nice to have: low-light and multi-frame tuning
Nice to have: wearable, action camera, or automotive tuning
The PM / Scrum Master will be entrusted with the dual responsibilities of steering project management initiatives and championing Agile/Scrum methodologies within the development team.
Responsibilities
Define project scope, objectives, and deliverables in collaboration with stakeholders.
Develop comprehensive project plans, including timelines, resource allocation, and budget management.
Manage and track project progress, ensuring adherence to timelines and budget.
Identify, assess, and mitigate project risks and issues.
Communicate project status, risks, and issues effectively to stakeholders.
The Technical Targeting Analyst serves as the principal authority for AI-enabled targeting methodologies, intelligence-driven data analysis, and the integration of advanced analytical capabilities across complex operational environments.
Responsibilities
Leverage artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify, assess, and develop actionable intelligence against high-priority threats.
Provide strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration while ensuring ethical, secure, and effective use of emerging technologies.
Lead complex analytic efforts and advise senior stakeholders.
Develop intelligence products, targeting packages, and executive-level briefings.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
Master’s degree in Intelligence, Data Science, Cybersecurity, Analytics, or related field preferred
Nice to have: Federal, defense, intelligence, or national security missions
Bachelor's degree in a relevant discipline such as Statistics, Mathematics, Operations Research, Engineering, or Computer Science from an accredited college or university