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.
As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation.
Responsibilities
Lead Databases & Analytics customer engagements.
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers.
Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments.
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
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
Lead an independent research program in child health, teach undergraduate and graduate courses, and contribute to service and academic mission at McGill University.
Compensation
Salary will be commensurate with qualifications and experience
Responsibilities
Establish and lead an independent research program
Develop and maintain externally funded research
Generate high-quality peer‑reviewed publications
Develop collaborative research projects
Supervise and mentor graduate students and postdoctoral fellows
Requirements
PhD or equivalent doctoral degree in biostatistics, statistics, or related field
Nice to have: Genomic data analysis
Nice to have: Longitudinal data analysis
Nice to have: Artificial intelligence for decision support
Leads training initiatives for the Commercial & Institutional Lending Domain, managing learning programs, facilitation, evaluation, and project leadership.
Locations (2)
Cleveland, Ohio, United States
127 Public Square, Ohio, United States
Compensation
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Responsibilities
Leads the training initiatives for the C&I Lending Domain
Creates and manages learning programs for new lending platforms
Leads the implementation and facilitation of learning experiences
Monitors, evaluates and leads accountability for training program results
Lead the engineering strategy behind mission-critical trading, risk, and analytics platforms as a Java & Big Data Engineering Lead within Citi's Markets Technology organization.
Compensation
$176,720.00 - $265,080.00
Responsibilities
Define and execute the engineering roadmap for Java, Python, cloud-native, and Big Data platforms
Lead multiple engineering teams building Java applications, API platforms, microservices, and enterprise data services
Architect high-performance, low-latency systems
Build enterprise-scale Big Data ecosystems using Spark, Kafka, Flink, Hadoop, Iceberg, Delta Lake, Pinot, and Trino
Partner with business stakeholders to enable advanced analytics, AI and machine learning initiatives
Requirements
Bachelor's degree or university degree in a related field or Master's degree
Consultant SpecialistNewHSBC · Guangzhou, China