Director Ethernet Solutions Product Management jobs at Nvidia in India, Pune

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

• Carry out extensive power and performance assessments on CPU, GPU, SoC, and system platforms in diverse work scenarios.

• Characterize system behavior across different states, such as idle, active, and low-power, ensuring smooth and efficient transitions.

• Analyze power telemetry, firmware traces, and OS metrics to identify and mitigate bottlenecks, driving flawless performance.

• Collaborate with hardware, BIOS, OS, and driver teams to strictly enable and improve new power features.

• Develop and maintain automation scripts and tools for seamless data collection and analysis.

• Prepare detailed reports and dashboards to summarize findings and determine recommended optimizations.

• Assist in identifying and troubleshooting power and performance issues to guarantee the effective execution of solutions.

• 5+ Years of experiene with Bachelor’s or Master’s degree or equivalent in Electrical Engineering, Computer Engineering or a related field.

• Strong understanding of power management concepts, including P-states, C-states, T-states, DVFS, package power limits, and thermal throttling.

• Proven experience with power tools on Windows/Linux platforms, such as WPA, HWInfo, ETL, Xperf, and PowerCfg.

• In-depth knowledge of SoC architecture, including CPU, memory, I/O subsystems, and firmware (BIOS/UEFI/EC).

• Proficiency in scripting languages such as Python, PowerShell, or Bash for test automation and data parsing.

• Strong analytical, debugging, and problem-solving skills to compete in a fast-paced environment.

• Experience with x86/ARM power frameworks.

• Familiarity with AI or ML-based power optimization approaches.

• Exposure to SoC validation tools and firmware debugging.

• Knowledge of battery modeling and energy efficiency benchmarking.

What you will be doing:

• Engage with product engineering teams to conduct security reviews of services and new product features. Utilize threat modeling techniques to identify potential security risks and security controls to mitigate these risks.

• Design and implement security controls to protect the cloud infrastructure, Kubernetes clusters, and the services that run on them.

• Assess security findings identified by various scanning tools, and guide product engineering teams on the identified risks and the mitigation strategies.

• Develop tooling to automate security tasks, including integrating tools and processes into CI/CD pipelines for proactive vulnerability detection and remediation

• Create alerts for threat detection and other notable events to monitor the infrastructure and services.

• Collaborate with multiple business units, vendors, and engineering teams on security and compliance certifications, such as PCI and SOC2.

What we need to see:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of hands-on experience in designing and building security controls to support large-scale, fault-tolerant distributed services.

• 5+ years of experience with programming in Python or similar languages.

• Strong experience with cloud infrastructure platforms like AWS, Azure, or Google Cloud.

• Expertise in cloud security, container security, application security, and performing security code reviews.

• Proficiency in Infrastructure as Code and Configuration Management tools like Terraform.

• Proficiency in security principles, encryption algorithms, hashing, and digital signatures to protect data in transit and at rest.

Ways to stand out from the crowd:

• Background in application security, authentication, and authorization protocols and standards.

• Experience in conducting penetration testing and vulnerability assessments.

• Proficiency in various monitoring tools such as Prometheus, Grafana, Cloudwatch, and Thanos.

What you will be doing:

• Hands-on technical lead contributing to architecture, design and development

• Lead, mentor, and grow our engineering team developing blueprints and Agentic AI solutions in Computer Vision and

• Be responsible for the quality and performance of our blueprints and the planning and execution of projects.

• Work closely with peer engineering, technical Program management and Product Management teams to help collect requirements for your products as well as contribute to the development of technology roadmaps.

What we need to see:

• Masters or Bachelors degree in Computer Science, or related engineering field

• 8+ years of overall experience in Software development

• 3+ years proven experience recruiting, training and managing software engineering teams.

• Strong technical foundations and a passion for good software design

• Hands-on experience with cloud native development and architecture

• Hands-on experience developing Applied Artificial Intelligence applications

• Tight-knit collaboration, communication, and documentation habits.

• Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA.

Ways to stand out from the crowd:

• Hands-on experience building accelerated Applied AI applications using generative AI and computer vision AI

• Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks

• Strong background in building and deploying AI services

• Experience with leading and mentoring teams in multifaceted environments such as concurrent HW and SW development.