Analyze requirements, conduct manual and automated testing of web-based applications, develop test plans and scripts, and manage defects to support software releases.
Compensation
Estimated Salary/Wage
USD $75,000.00/Yr. Up to USD $85,000.00/Yr.
Responsibilities
Review business, functional, and technical requirements to identify test scenarios, acceptance criteria, risks, and coverage needs.
Perform manual testing of new features and enhancements, as well as comprehensive regression testing to validate system stability and quality prior to release.
Develop, document, and maintain test plans, test cases, test scripts, test data, and traceability documentation to support application lifecycle activities.
Design, implement, and maintain automated test scripts using Playwright and other approved automation frameworks to improve testing efficiency and coverage.
Test web-based applications, reports, dashboards, integrations, and web services/APIs to verify functionality, performance, accuracy, and compliance with requirements.
Contribute to the design and deployment of data initiatives that deliver accurate, timely, and actionable insights for decision making.
Compensation
The expected annual salary range for this position based on the primary location for this position of Oceanside, California is $160,992 to $180,600 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Design and deploy data initiatives
Improve digital performance management tools
Own lifecycle management of Digital Performance Management tools
Translate operational priorities into performance measures
Collect, validate, and analyze operational, quality, and delivery data
Requirements
Bachelor’s degree in Science, Engineering, or Data Analytics
Lead a team of Data Scientists, Analysts, and Data Engineers to develop scalable data science, AI, and analytics solutions that advance marketing science and innovation across the advertising industry.
Lead, mentor, and develop a team of 4+ Data Scientists, Analysts, and Data Engineers
Oversee the development and delivery of scalable data products and analytics solutions
Manage Databricks data architecture, including source-level tables, ETL/ELT pipelines, and production workflows
Lead the design and implementation of data integrations and delivery solutions, including APIs, SFTP, and Model Context Protocol (MCP) connections
Oversee the development and deployment of machine learning models for attribution, forecasting, fraud detection, anomaly detection, recommendation systems, and marketing optimization
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
Design, build and ship intuitive experiences that help people and AI agents collaborate on business workflows.
Compensation
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.
Responsibilities
Design, build and ship intuitive experiences that help people and AI agents collaborate on business workflows.
Develop full-stack features across web applications, conversational interfaces and collaboration platforms such as Microsoft Teams, Slack and email.
Build APIs and agent tooling using technologies such as GraphQL, REST and MCP to connect users, agents and workflows.
Create consistent interaction patterns that let users stay informed, provide input and complete work across channels.
Build secure, reliable integrations, including authentication, authorization, notifications and account connectivity.
The Human Agent Interfaces (HAI) team builds the surfaces where people and agents work together, including notifications, task interactions, conversational and Copilot experiences, and the tools agents use to act on workflows.
Compensation
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.
Responsibilities
Design, build and ship intuitive experiences that help people and AI agents collaborate on business workflows.
Develop full-stack features across web applications, conversational interfaces and collaboration platforms such as Microsoft Teams, Slack and email.
Build APIs and agent tooling using technologies such as GraphQL, REST and MCP to connect users, agents and workflows.
Create consistent interaction patterns that let users stay informed, provide input and complete work across channels.
Build secure, reliable integrations, including authentication, authorization, notifications and account connectivity.
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
Requirements
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
Nice to have: Experience with NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA
Nice to have: Integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience.
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
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