This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.
Compensation
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.
Hands-on, backend-heavy engineering role focused on building a unified, large-scale machine learning platform that drives one-to-one offer, content, and channel decisions. Includes technical leadership, architecture design, and mentoring engineers.
Compensation
The typical pay range for this role is: $144,200.00 - $288,400.00
Responsibilities
Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines)
Design data contracts and interfaces between data engineering, model training, and production serving layers
Own the design of versioned, queryable feature stores and point-in-time lookup APIs
Design and optimize large-scale distributed computing workflows
Set and enforce engineering standards across the ML codebase (modular design, dependency management, code review, automated testing, CI/CD)
We are seeking a Principal Backend Engineer to join our Cortex backend engineering group, a team dedicated to developing, innovating, and scaling the Cortex Platform.
Compensation
$156,400.00 - $253,000.00/yr
Responsibilities
Lead the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Collaborate effectively with peers across diverse teams and disciplines to shape solutions and ensure seamless integration with other product components.
Drive team-wide technical excellence by actively participating in code reviews, design reviews, and architectural decisions.
Maintain a production-first mindset, providing real-time mitigation and solutions to production issues to ensure platform stability and customer satisfaction.
Challenge the status quo by exploring and applying new technologies and methodologies to innovate and scale the Cortex Platform.
Requirements
Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
Design, build, and maintain distributed systems and algorithms for OCI’s Next Gen Network Observability platform, enabling automated network control and self-healing networks.
Compensation
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design, implement, and maintain critical components of OCI’s Next Gen Network Observability platform.
Build scalable, topology-aware measurement, analytics, and inference systems for data center and WAN networks.
Develop algorithms for path reconstruction, congestion triangulation, queue-wait estimation, fault localization, root cause analysis, and customer-impact attribution.
Ingest and correlate signals from active probes, routing and topology systems, switches, ASICs, queues, flows, logs, metrics, events, and streaming telemetry.
Produce ranked, confidence-scored diagnoses that localize problems to the responsible path, link, queue, device, or shared network resource.
Requirements
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent professional experience.
Design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services.
Build machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer, focusing on AI-enabled drug discovery.
Locations (2)
Bothell, Washington, United States
Tampa, Florida, United States
Compensation
annual base salary ranges from $106,000.00 to $176,600.00
Responsibilities
Own an end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices
Lead and manage complex technical programs, drive platform transformations, and build TPM discipline within Capital One.
Locations (3)
McLean, Virginia, United States
New York, New York, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $230,400 - $263,000 for Director, Technical Program Management
New York, NY: $251,400 - $286,900 for Director, Technical Program Management
Richmond, VA: $209,500 - $239,100 for Director, Technical Program Management
Responsibilities
Lead programs that deliver critical business goals and build large scale products & platforms
Contribute to TPM / Delivery strategy by establishing operating mechanisms, maturity models, and tooling
Drive development of program roadmap anchored in business objectives
Lead cross-platform technical investment planning and ensure architectural alignment
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems
design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations
Requirements
Bachelor's degree or equivalent (minimum 12 years) work experience
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Principal Core Infrastructure EngineerOracle · Austin, US