Lead a team of engineers to develop and validate firmware for next-generation NVIDIA networking products.
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: 184,000 USD – 287,500 USD for Level 2; and 224,000 USD – 356,500 USD for Level 3.
Responsibilities
Lead a team of engineers and provide technical guidance and career mentorship
Define and implement new product integration and validation in the core of NVIDIA HCA and DPU products
Drive and facilitate the planning, scheduling, and execution of the project and activities of the team
Collaborate with architecture, product and different software design teams as part of the software development lifecycle
Work in pre and post-silicon activities of next-generation NVIDIA networking products
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Nice to have: Knowledge in SW‑HW interfaces, PCIe, memory subsystems, storage components, network applications, device drivers and real‑time software
Nice to have: Programming knowledge in Python/C/C++
Nice to have: Deep understanding of computing architectures, hardware systems block diagrams and schematic sheets understanding
Nice to have: Previous roles in system validation positions, technical lead or silicon bring up leader
Responsible for conducting quantitative analytics and modeling projects for specific business units or risk types within Global Risk Analytics, developing models, processes, and documentation to support risk and capital management.
Locations (3)
Charlotte, United States
Chicago, Illinois, United States
Jersey City, New Jersey, United States
Compensation
$89,800.00 - $151,200.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan.
Responsibilities
Performs end-to-end market risk stress testing including scenario design, implementation, results consolidation, internal and external reporting, and analyzes stress scenario results
Supports planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports methodological, analytical, and technical guidance to influence strategic direction and tactical approaches of development/validation projects
Requirements
Master’s degree in Math, Economics, Statistics, or similar discipline
PhD in Math, Economics, Statistics, or similar discipline