Enterprise Marketing Manager jobs at Nvidia in India, Bengaluru

What you'll be doing:

• Lead a team involved with development and delivery of Cumulus Linux packet forwarding andinfrastructurefeatures. Partner with other engineering teams to scope and develop solutions to improve systems security, performance and reliability features.

• Lead a team to design, develop, test and maintain new functionality and improvements to existingfunctionalityrelated to packet forwarding and offload of L2, routing, ACLs, NAT, policy-based routing,VxLAN-EVPN.

• Develop and debug C and Python code for packet forwarding monitoring, reliability and serviceability features as needed.

• Collaborate with product, architecture, and engineering teams for End to End integration of systems infrastructure features into Linux and Cumulus Linux distribution

• Work with project management team for effort estimation and planning of the features.

• Work closely with recruiting staff to expand the team, including sourcing and interviewing candidates, participating in conferences/events, and onboarding new employees. Help engineers develop their careers, assigning them to projects tailored to their current skill levels as well as their long-term development, taking into account evolving strengths and capabilities

• Work with upstream communities as needed, supervise technology trends like emerging standards for any technology opportunities.

• Guide through the problem solving process, minimize how often problems take place and proactively take steps to prevent problems from happening

What we need to see:

• Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience)

• 10+ overall years of proven leadership in Linux systems, data center networking technologies; familiarity with datacenter protocols and 5 or more years of people management experience in an enterprise environment.

• Familiar with cloud native concepts

• Strong background with Linux OS feature development

• Experience driving projects from concept to production

• Excellent written and verbal communication and interpersonal skills. Comfortable articulating value propositions to customers and influencing internal teams

• Experience with embedded software on network switches.

• Background with bring up and troubleshooting of Ethernet Switching ASICs, Ethernet interfaces and modules

Ways to stand out from the crowd:

• Strong background in Ethernet switching, Linux systems and Linux kernel networking

• Experience with Merchant Silicon based platforms for Switching/Routing

• Contributions to SONiC, SwitchDev or Switch Abstraction Interface (SAI) projects.

• Knowledge of networking control plane operation in areas like IP, EVPN, Segment Routing etc.

What you'll be doing:

• Lead and manage software engineers, including hiring, mentoring, and performance evaluations.

• Define and implement a technical roadmap that closely aligns with company goals.

• Coordinate the creation, advancement, and implementation of crucial platform services, promoting guidelines in software development, such as code reviews, testing, and documentation.

• Encourage a culture centered on constant growth, originality, and outstanding technical proficiency.

• Manage project timelines, resources, and risks to ensure successful delivery.

• Provide operational and platform support during non-US business hours for service continuity and incident response.

What we need to see:

• Bachelor's or equivalent experience in Computer Science, Engineering, or a related field.

• 10+ years of software development experience, with a focus on platform/backend systems, and 5+ years leading software engineering teams.

• Demonstrated expertise in developing and rapidly growing distributed systems, cloud-native applications, and large-scale enterprise platforms for Configuration Management, Asset Management, and Observability.

• Strong proficiency in programming languages such as Java, Python, or Go, and experience managing containerized application deployments in both cloud and on-prem environments.

• Solid understanding of database technologies (both relational and NoSQL) and message queues.

• Excellent communication, interpersonal, and leadership skills with a demonstrated ability to encourage, motivate, and drive technical excellence within agile development environments.

Ways to stand out from the crowd:

• Experience with Nautobot to maintain asset lifecycle management for both On-Prem and Cloud Assets.

• Hands-on skills in Python/Go Lang, with the ability to build and deploy containerized software on orchestration platforms.

• Prior experience working with LLMs, RAGs, and the implementation of AIOps tools for incident diagnosis and remediation.

• Experience in deploying Ansible Automation Platform and Salt Stack in On-Prem Hardware to manage Network and Infrastructure assets in Data Centers.

What you'll be doing:

Your main responsibility will be to develop a technical and business strategy to win NVIDIA software and hardware platforms' adoption for the selected industries and verticals, mainly cloud focusing applications developers. The role requires a senior technical manager who believes that generative AI, deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform every industry, with cloud first mind-set and strategy.

• Develop India NVIDIA developer ecosystem with cross-functional team; Product, Engineering, Software team, Solution Architects, Business, Marketing, Inception and Sales.

• Lead and develop strategic relationships with key startups, ISV’s, and leading industries’ developers.

• Know all NVIDIA AI computing platforms from Datacenter, Cloud to Edge and effectively articulate the value proposition to the APAC developer community while driving and leading strategic partnerships and community building among Cloud developers by running webinar, workshops, developer session and hosting technical meetups.

• Drive adoption of NVIDIA Cloud Native SDK’s and Software into developer products while being alert to the competitive landscape and communicate internally.

• Be NVIDIA technology mentor, evangelize the NVIDIA HW and S/W Solutions by being the focal point for the software developer community and occasionally lend some hands-on technical support.

What we need to see:

• Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience

• 8+ years of experience. Master's or Ph.D’s is preferred.

• Experience with cloud infrastructure platforms like AWS, Azure, Google Cloud, Tencent, Baidu, OCI, ByteDance, etc and hands-on exposure in cloud technologies and microservices architecture.

• Understanding of virtualization and containerization technologies like Container, Docker, Kubernetes, VMware, KVM, etc.

• Expertise in C, C++, Python programming languages and GenAI, Deep Learning, Machine Learning, 3D Design/Simulation frameworks, while has developed related Cloud applications.

• Able to work independently and possess excellent communication skills to drive customer and internal engagements.

• You will ensure a positive experience for external customers/developers and partners while working cross functionally within our organization.

Ways to stand out from the crowd:

• Experience in developing various applications in cloud environments, covering various industry vertical.

• Multi-year cloud-based development experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and NVIDIA technologies and application domain.

• Excellent organizational, planning, and execution skills.

• Demonstrate ability to thrive in a dynamic environment that is experiencing rapid growth.

What you will be doing:

• Your main focus will be on ensuring and improving upon the network health through as observed through operational signals and measured through customer experience metrics

• Work closely with leadership on evolving the current support model and processes to a more data driven, automated, SRE model.

• Provide technical leadership, direction, and strategy for a growing team of reliability experts focused on networking support and operations.

• Set the technical vision, strategy, and roadmap for network operations in partnership with the key infrastructure and partner teams

• Work across Network Architecture, Network Deployment and partner well to establish run books, regular training sessions and ensure we build the network to be self-healing

• Work very well in understanding RCAs from events and incidents and work with our AI operations to enrich our observability tooling for better full stack view of the network to applications.

• Influence the architecture of the Nvidia networks both on-prem and in the clouds.

What we need to see:

• Bachelor’s degree in Computer Science, related technical field, or equivalent experience

• Experience building and growing teams that are geographically distributed, appreciate local operations and bring in a global perspective, following standards.

• Demonstrated technical expertise in the networking domain covering technologies in routing and switching such as EVPN, BGP, OSPF, VXLAN, switching, etc.

• Ability to do technical deep-dives into networking, operating systems, code, and storage, and verbally and cognitively agile enough to hold your own in a strategy discussion with NVIDIA’s executive team and peer SMEs.

• Ability to identify trends and promote solutions that solve challenges efficiently across multiple product areas

• Leverage metrics on team and ability to generate reports on performance and capacity through tools such as ServiceNow and PowerBI

• Excellent innovative thinking, collaboration, and problem-solving skills.

• 10+ overall years of combined experience in network architecture, network engineering, network SRE, and network operations, including 4+ years in a leadership role. A strong foundation in network operations and SRE.

Ways to stand out from the crowd:

• Experience in running networks at scale

• In depth knowledge in technical areas such EVPN, MPLS-SR, Cumulus Linux, or similar

• Knowledge of SRE principles (observability, SLOs, SLIs, logging, etc)

• Familiarity with leveraging tools such as Netbox/Nautobot, Prometheus, Grafana to monitor and manage a global network

What you'll be doing:

• Take ownership and drive customer issues on system software, server diagnostics and containers

• Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to NGC, Container Orchestrators (such as Kubernetes), GPU accelerated applications

• Build upon the opportunity to research new use cases with GPUs for emerging container technologies

• Bring independent analysis, communication, and problem-solving to customer experience

What we need to see:

• BS in Computer Science, Computer Engineering, or related field (or equivalent experience)

• At least 5+ years system software development and troubleshooting experience, ideally with some customer facing

• Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented

• Strong computer science concepts and excellent knowledge of C/C++, Python and scripting methodologies

• Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, server diagnostics, embedded systems

• You'd have cultivated a deep Linux knowledge, and be very comfortable working in various Linux environments as well as with Windows OS’s

• Professional-level communication skills, interpersonal skills with a passion to solve problems

Ways to stand out from the crowd:

• Proven experience in developing, triaging and debugging on Linux, system software, server diagnostics and Containers

• Experience working with distributed systems especially container orchestrators

• Any exposure to system level debug and triaging experience

What you will be doing:

• Program Management : Drive end-to-end planning and execution of physical design programs, ensuring alignment with engineering goals, schedules, and deliverables.

• Third-Party Contract Management : Oversee engagement with external contractors, ensure clear definition of scope, deliverables, and performance expectations.

  • Streamline onboarding and deboarding processes for contractors.

  • Collect daily feedback from contractors to identify potential issues and areas for improvement.

  • Handle contractors' timesheets and ensure accuracy for billing and payment.

  • Manage contractors' paperwork, including contracts and agreements.

  • Manage contractor attrition and replacement, ensuring smooth transitions.

  • Frequently remind contractors about information security (infosec) matters.

• Vendor Management : Establish and maintain productive relationships with EDA vendors, IP providers, and service partners. Track deliverables, resolve issues, and escalate risks as needed.

• Resource Management: Collaborate with engineering managers to allocate internal and external resources effectively, monitor utilization, and address capacity constraints.

  • Work closely with engineering on various KPIs to improve overall execution processes and deliverables.

  • Collaborate with engineering and vendors to deliver and execute the roadmap.

  • Participate in sprint planning, stand-ups, sprint reviews, and retrospectives.

• Schedule Tracking : Develop and maintain detailed program schedules, track progress, and drive accountability across multiple stakeholders. Identify and mitigate risks proactively.

• Cross-functional Coordination : Partner with design, verification, CAD, and operations teams to ensure seamless execution across all phases of the physical design flow.

• Reporting & Communication : Provide clear, concise program updates to leadership and stakeholders. Highlight risks, dependencies, and mitigation plans.

• Physical Design Leadership: Lead all block/chip level PD activities, including floor plans, abstract view generation, RC extraction, PNR, STA, EM, IR DROP, DRCs, and schematic to layout verification. Collaborate with design teams to address design challenges. Debug tool/design related issues and improve RTL2GDS flow to enhance PPA. Oversee all aspects of physical design and implementation of GPU and other ASICs

What we need to see:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related discipline.

• 7+ years of experience in semiconductor industry, with at least 3+ years in program/project management roles.

• Strong understanding of ASIC/SoC design flows, with emphasis on physical design processes.

• Proven experience managing third-party contractors and vendor relationships.

• Excellent organizational, analytical, and communication skills.

• Strong ability to influence without authority and drive cross-functional alignment.

• Familiarity with project management tools (e.g., MS Project, JIRA).

• Familiarity with EDA tool licensing, vendor engagement models, and budget tracking

• Preferred candidates with either PMP certification.

What you'll be doing:

• Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions.

• Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. Improving reliability and overall Researcher Productivity.

• Architect and implement brand new strategies to optimize the utilization of our AI computing clusters, driving operational efficiency and resource maximization.

• Pioneer innovative solutions to streamline support processes, enabling our team to manage an unprecedented scale of GPU resources (10,000+ GPUs per support personnel).

• Lead the charge in building a future-proof AI computing infrastructure, ensuring seamless scalability and resilience to power groundbreaking AI models and applications.

• Collaborate with multi-functional teams to identify bottlenecks and opportunities for optimization, continuously improving the performance and cost-effectiveness of our AI computing operations.

• Empower your team with the tools, processes, and standard methodologies necessary to thrive in a dynamic, high-intensity environment, fostering a culture of operational excellence and continuous improvement

What we need to see:

• Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering or related field or similar area.

• Minimum 4 years of experience leading AI/ML and software development teams as a people manager with 10+ overall years of relevant experience.

• Consistent track record of leading high-performance teams in delivering innovative solutions to complex computational challenges, with a demonstrated ability to drive operational excellence and continuous improvement.

• Exceptional problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions that can accommodate the ever-increasing demands of AI computing.

• Shown leadership capabilities, with the ability to inspire and motivate multi-functional teams, fostering a culture of collaboration, innovation, and steadfast pursuit of operational excellence.

• Strong communication and collaborator management skills, enabling you to effectively articulate technical concepts to diverse audiences and align priorities across the organization.

• A passion for pushing the boundaries of what's possible in AI computing, with an aim to continuously explore and implement emerging technologies and standard processes to maintain our competitive edge.

• Strong people management and team-building skills. Can coach and grow talent, cultivate healthy engineering culture, and attract/retain talent. Ability to build a diverse, broad, and impactful team.

Ways to stand out from the crowd:

• Experience with Machine Learning and Deep Learning concepts, algorithms and models

• Familiarity with InfiniBand with IBOP and RDMA

• Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads

• Familiarity with deep learning frameworks like PyTorch and TensorFlow