NVIDIA

Full-stack Engineer

• Build novel design solutions and drive execution to improve the use of end to end Simulation at scale to evaluate Autonomous Vehicle performance through test architecture and tool development.
• Lead efforts to streamline and automate the development of simulation tests from all aspects of creation, run, and analysis infrastructure.
• Build reliable and scalable infrastructure and operations that can make it easy to scale and interact with simulation tests.
• Analyze complex technical issues and independently drive resolution.
• Guide technical aspects of development of test scenario creation and usability in Simulation.
• Work closely with developers and operational teams responsible for Simulation test creation to understand their needs and improve scalability and stability of the platform.
• Collaborate across many teams, bridging needs of Autonomous Vehicle development and innovative end-to-end Simulation capabilities, applying your skills to understand and improve the modules that simulate the real world driving.
• Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.

Senior Software Engineer – Test, Autonomous Vehicles

Artificial Intelligence

• Responsible for demand creation, co-selling, forecasting, sales leadership, training, and education
• Grow revenue and market share for NVIDIA Data Center, Edge, and Cloud platforms
• Serve as the key point of contact for the NVIDIA–Palantir partnership
• Build strategic relationships across federal agencies
• Collaborate with Palantir to develop and execute go-to-market strategies
• Champion the value of NVIDIA accelerated computing combined with Palantir’s platform
• Ability to travel as business requirements demand

Senior AI Strategist

Application Engineer

• Provide onsite support for large datacenter deployments of NVIDIA AI solutions.
• Solving complex hardware and deployment issues
• Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.
• Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.
• Identify customer architectures and key product requirements in the enterprise AI market.
• Provide technical and sales training to the direct sales team and channel partners.
• Establish strong relationships and communication channels with internal teams.

Field Application Engineer

Engineer

• Invent and develop new algorithms for RTL synthesis, digital logic optimization, graph-based RTL traversal, analysis, and manipulation.
• Build physical-aware synthesis techniques using placement/congestion/timing feedback to improve PPA.
• Develop strategies for rapidly analyzing the RTL change impact on timing, power, area, and impact to DFT, clocking, and power delivery on design.
• Prototype and evaluate ML methods (e.g., GNNs, RL, models) to guide optimization decisions; integrate successful approaches into production.
• Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight.
• Collaborate with design teams to facilitate deployment of solutions and actively drive the roadmap of increasing hardware design productivity.

Senior Software R&D Engineer, Digital Logic Synthesis

Architect

• Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features.
• Build functional and performance models to refine and verify hardware designs.
• Create test plans to validate the features you design and contribute to their implementation.
• Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.

Senior Architect, GPU Profiling System

Systems Engineer

• Bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs
• Develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems
• Deliver compelling technical presentations and lead hands-on demos or training
• Handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged throughout the customer journey

Senior Systems Engineer, Artificial Intelligence Operations

Senior GPU Architect

Manager

• Lead a team of engineers and provide technical guidance to the team of highly skilled engineers.
• Empower the team members to excel and increase team productivity.
• Lead the design and implementation of new features in the core of NVIDIA Switch Networking firmware.
• Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.
• Collaborate with architecture and different software design teams as part of the software development lifecycle.
• Work in pre and post-silicon development environments of next-generation NVIDIA Switch networking products.
• Gain a deep understanding of networking technology, system debugging, and stacks, as well as the HW/FW/SW relationship.
• Innovate! Bring NVIDIA’s Networking products to shine in customer’s view.

Firmware Core Team Manager

Hardware Engineer

• Highly involved in the entire software development process from architecture to integration testing of firmware for the Spectrum ASIC product line.
• Work with HW & ASIC team to provide insights into developing the next gen of the groundbreaking of silicon and systems.
• Design and implement algorithms to improve system scale and performance.
• Work with higher layer software teams to debug issues reported by customers (internal and external).
• Design, implement and integrate new features according to the product roadmap.
• Bring your ideas to life by innovating during our hackathons.
• Collaborate with other NVIDIA R&D teams around the globe.

Firmware Engineer – Ethernet Switching

Producer

• Serve as a liaison between Contract Manufacturing/Repair partners, and NVIDIA teams – Engineering, Quality, Procurement, Logistics, Planning and Finance
• Handle technical areas of repair process such as – finished goods Quality, yield management, Engineering Change Order Management, Approved Vendor List management and capacity utilization management.
• Be a champion of repair efficiency leading to the best quality repair output with continuous improvement
• Establish and maintain Service Level Agreements with Service Operations partners, critical metrics to supervise performance, and lead Operations Reviews.
• Proactively resolve roadblocks, implement business processes and systems to improve refurbishment operations, manage capacity, inventory control at repair sites and coordinate with cross-functional support teams to meet delivery commitments and business requirements.
• Collaborate with engineering and quality teams to implement required repair processes and compliance audits.
• Collaborate with Planning and Procurement to ensure supply chain readiness for new service offerings and ongoing build plan at CRMs.

Service Production Manager – Repair

Software Engineer

• Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale
• Own OOB telemetry solution and data validation for telemetry from each underlying device
• Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability
• Continuously improve software development processes for optimal productivity and quality
• Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management
• Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery
• Conduct performance reviews, foster a culture of excellence, and ensure high productivity

Senior Manager, Engineering – Data Center Telemetry, RAS

Operations

• Drive enterprise-wide remediation initiatives spanning multiple teams or platforms through to verified closure.
• Collaborate with engineering teams to clarify required actions, and drive issues to completion.
• Track remediation efforts and provide clear access to progress and outstanding risk.
• Collaborate on drafting vulnerability bulletins, exposure notifications, and structured security communications for engineering and leadership audiences.

Cyber Engineer, Vulnerability Operations, Remediation, Advisory

Cloud Engineer

• Collaborate with Engineering, Infrastructure, and Software teams
• Define and communicate requirements to Cloud Service Providers (CSPs)
• Drive capacity alignment based on workload needs
• Develop and mature foundational capabilities and processes for DGX Cloud
• Gather technical requirements and develop comprehensive roadmaps
• Manage ongoing capacity operations and engineering engagement
• Partner closely within NVIDIA to understand workload requirements
• Establish key performance indicators (KPIs) and mitigate risks

Technical Program Manager, Cloud Infrastructure

• Design and develop firmware for NVIDIA's ARM based CPUs
• Using strong communication skills, develop software
• Drive ideas, analyze documents and communications to internal and/or external audiences about our technology
• Collaborate with hardware architecture teams
• Identify opportunities to improve our architecture and make it more performant generation to generation

Senior SBIOS Firmware Engineer – Bootloader

Technical Program Manager

• Ensuring that from engineering sample to mass production, that NVIDIA is ready to support with tooling, processes and lessons learned which are implemented and available for internal and external roll out.
• Program management of the status for hardware, software, tooling, and process are defined.
• Lead customer engagement and communication, coordinating planning, and activity preparation.
• Quality Assurance: Establish and implement quality assurance processes to verify that deliverables meet established specifications and quality requirements.
• Continuous Improvement: Drive initiatives to improve efficiency through automation, tooling, and other means to increase speed and accuracy of readiness planning.
• Partnership and Communication: Collaborate and communicate across internal teams and customers to facilitate the seamless integration of our readiness capabilities.