NVIDIA Director of Engineering Resume Example

Director of Software Engineering, Data Center Networking · Arista Networks

San Jose, CA · 2020 - Present

• Led a global team of 45 engineers across 3 locations, overseeing the development and deployment of next-generation cloud networking software for large-scale data centers, resulting in a 25% increase in market share for specific product lines.
• Architected and delivered a new EVPN-VXLAN control plane feature, improving network fabric scalability by 40% and reducing operational overhead by 15% for enterprise customers.
• Managed a $15M annual budget, optimizing resource allocation to accelerate product roadmaps and launching 3 major features ahead of schedule, contributing to 18% revenue growth in the data center portfolio.
• Implemented AI/ML-driven network telemetry and analytics, enhancing fault detection accuracy by 30% and reducing mean time to resolution (MTTR) by 20% across customer deployments.
• Mentored and developed senior engineering talent, resulting in a 90% retention rate for high-performing individuals and promotions for 12 team members.

Senior Engineering Manager, Cloud Infrastructure · VMware

Palo Alto, CA · 2015 - 2020

• Directed a team of 20 software engineers in the development of core components for VMware NSX, enhancing Software-Defined Networking (SDN) capabilities and increasing platform adoption by 20% year-over-year.
• Spearheaded the integration of Kubernetes with NSX-T, enabling seamless network policy enforcement for containerized applications and reducing deployment time by 25% for cloud-native workloads.
• Reduced critical bug count by 30% and improved code quality metrics by 15% through the implementation of stringent code review processes and automated testing frameworks.
• Collaborated with product management and sales teams to gather customer requirements, influencing product strategy that led to a 10% increase in customer satisfaction scores for networking features.

Engineering Lead, Data Center Switching · Cisco Systems

San Jose, CA · 2010 - 2015

• Led a team of 8 engineers in the design and implementation of Layer 2/3 protocols for Nexus series data center switches, contributing to products generating over $1B in annual revenue.
• Optimized routing table lookups and forwarding performance, achieving a 15% improvement in packet processing speed for high-density 100GbE ports.
• Developed automated test suites that reduced testing cycles by 20% and improved release quality, decreasing customer reported defects by 10% post-launch.

Master of Science in Electrical and Computer Engineering · Carnegie Mellon University

Pittsburgh, PA · 2008 - 2010

• Specialized in Software Defined Networking (SDN) and Distributed Systems.
• Thesis: 'Scalable Flow Management for Software-Defined Data Centers' – developed algorithms reducing flow setup latency by 35%.
• Relevant Coursework: Advanced Network Architectures, Distributed Operating Systems, Machine Learning for Network Operations, Cloud Computing.

Bachelor of Science in Computer Engineering · University of Texas at Austin

Austin, TX · 2004 - 2008

• Graduated Summa Cum Laude with a GPA of 3.9/4.0.
• Recipient of the Dean's Award for Academic Excellence, 2007 and 2008.
• Relevant Coursework: Data Structures and Algorithms, Computer Networks, Operating Systems, Digital Logic Design.

Director of Engineering, High Performance Computing · Dell Technologies

Austin, TX · 2023 - Present

• Led a 35-engineer team across 3 scrum teams, overseeing the development and deployment of enterprise HPC solutions, resulting in a 20% increase in market share for Dell's HPC server line.
• Drove strategic initiatives for AI/ML integration into existing HPC offerings, increasing solution efficiency by 25% and reducing customer model training times by an average of 30%.
• Championed the adoption of new GPU acceleration technologies (e.g., CUDA, OpenCL) for data-intensive workloads, improving computational throughput by up to 50% for key clients in research and energy sectors.
• Managed a budget of $15M annually, consistently delivering projects on time and within budget, achieving a 95% project success rate based on defined KPIs and stakeholder satisfaction.

Senior Manager, Autonomous Systems Software · Aurora Innovation

Pittsburgh, PA · 2018 - 2022

• Directed a 20-person software engineering team responsible for perception and planning modules in autonomous vehicles, contributing to a 15% reduction in false positive detections in complex urban environments.
• Optimized deep learning inference pipelines on custom embedded GPU platforms, achieving a 40% reduction in latency for critical decision-making processes.
• Collaborated with hardware and systems engineering teams to integrate software with cutting-edge sensor arrays and processing units, improving overall system robustness and safety metrics by 10%.
• Successfully guided the team through two major product releases, including the deployment of the Aurora Driver in pilot commercial programs across 3 cities.

Principal Engineer, Embedded AI/Vision Systems · Lockheed Martin Skunk Works

Dallas, TX · 2013 - 2018

• Architected and implemented real-time AI-powered computer vision systems for advanced aerospace platforms, enhancing object recognition accuracy by 35% in challenging operational conditions.
• Developed custom FPGA and GPU acceleration solutions for onboard image processing, achieving sustained throughput of 100+ frames per second for high-resolution sensor data.
• Led a cross-functional team of 8 engineers through the full development lifecycle from requirements gathering to system integration and testing, delivering 3 critical prototypes ahead of schedule.

Software Engineer, Simulation & Modeling · Ansys

Canonsburg, PA · 2008 - 2013

• Designed and implemented high-performance numerical solvers for fluid dynamics and structural mechanics simulations, improving solver speed by 20% through parallelization techniques.
• Developed and maintained core components of Ansys Fluent and Ansys Mechanical, contributing to features that expanded user capabilities and reduced simulation setup time by 10%.
• Collaborated with research scientists to integrate novel physics models and algorithms, enhancing the predictive accuracy of simulation results by 15%.

Ph.D. in Computer Science · Carnegie Mellon University

Pittsburgh, PA · 2004 - 2008

• Specialization in Parallel and Distributed Systems, Machine Learning Algorithms
• Dissertation: "Optimizing Real-time Simulation Performance on Heterogeneous Architectures"
• Published 3 peer-reviewed papers on high-performance computing techniques for complex systems

B.S. in Electrical Engineering (Summa Cum Laude) · University of Texas at Austin

Austin, TX · 2000 - 2004

• GPA: 3.9/4.0, awarded departmental honors for capstone project
• Relevant Coursework: Advanced Digital Signal Processing, Computer Architecture, Embedded Systems Design, Artificial Intelligence Fundamentals
• Dean's List all semesters, member of IEEE student chapter