Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
Lead medium-to-large software implementation projects for utility, telecommunications, and government clients. Manage schedules, budgets, risks, requirements, design, development, testing, change control, and delivery. Coordinate technical and business teams, maintain client relationships, support estimates and statements of work, mentor project managers, and identify business-development opportunities. Projects involve AutoCAD-based design, system integrations, ERP, EAM, GIS, data management, and IT strategy.
Top Skills:
AutocadEamErpExcelGisMS OfficeMs ProjectPowerPointWord
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Operate and maintain large Kubernetes clusters across data centers and public clouds. Troubleshoot infrastructure, networking, storage, DNS, and control-plane issues; participate in on-call incident response; perform upgrades and capacity changes; build monitoring dashboards and alerts; automate repetitive work with Go or Python; maintain documentation and use AI tools to improve engineering workflows.
Top Skills:
AlertmanagerAnsibleAWSCert-ManagerCni PluginsCorednsGCPGitGoGrafanaHelmKubernetesLinuxOciPrometheusPythonTerraformThanos
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Conduct incident response engagements, intrusion investigations, threat hunting, and host or network forensics across Windows, Mac, and Linux. Analyze malware and network activity, support remediation planning, and investigate targeted attacks. Prepare written and verbal findings for customers, regulators, management, and legal counsel. Consultants also collaborate with project leaders and internal teams while using AI technologies to improve workflows and decision-making.
Top Skills:
Ai TechnologiesAWSAzureBro/ZeekGCPLinuxmacOSSuricataWindows
Own enterprise product strategy and roadmaps while designing hybrid-cloud networks, APIs, infrastructure automation, and Kubernetes services. Write integrations in Python or Go, build provisioning workflows, troubleshoot production systems, improve observability and reliability, and define architecture and acceptance criteria. Partner with developers, cloud providers, security teams, and engineering to deliver supportable solutions across cloud and on-premises environments.
Enjoy writing code and engineering networks while defining product direction? Join us as a Technical Product Manager for Enterprise Products! In NVIDIA’s Enterprise Product Group, we help enterprise and community developers use NVIDIA software and hardware across cloud and on-premises environments. Combine product leadership with hands-on development, network architecture, and DevOps to build APIs, interface layers, and integrations across our developer portfolio.
What you’ll be doing:
We collaborate with developers, strategic partners, cloud providers, and NVIDIA engineering teams to deliver supported solutions:
- Own product strategy and roadmaps. Balance NVIDIA’s priorities, developer feedback, market and community trends, adoption data, and engineering constraints.
- Design and implement data center and hybrid-cloud networks. Define routing, segmentation, secure access, DNS, VPNs, and load balancing; validate capacity, performance, tenant isolation, and failover.
- Write API integrations, network automation, and reference implementations in Python, Go, or a comparable language. Build and test proofs of concept with partners and internal teams.
- Develop self-service provisioning and lifecycle workflows with infrastructure as code, GitOps, CI/CD, configuration drift detection, and rollback. Deploy and troubleshoot Linux and Kubernetes services; trace connectivity across physical networks, virtual infrastructure, containers, and application endpoints.
- Use metrics, logs, and actionable alerts to diagnose incidents and improve reliability. Measure adoption, provisioning time, availability, and network performance. Partner with security teams on identity, least privilege, tenant access, and data governance.
- Define acceptance criteria, document architectures and integration patterns, and transition validated services to sustainment engineering with runbooks and tested recovery procedures. Communicate product vision, launches, and technical tradeoffs to partners, developers, and leadership.
What we need to see:
- We value technical product leaders who translate customer problems into roadmaps, prioritize work, and coordinate delivery with engineering and partners.
- 12+ years building and shipping enterprise software, hardware, or platform infrastructure, with ownership of requirements and delivery outcomes.
- Experience designing and operating networks with TCP/IP, BGP, routing, switching, high availability, firewalls, VPNs, DNS, DHCP, and NAT.
- Experience writing, testing, and maintaining code, developing and managing APIs, and automating infrastructure. Familiarity with SDKs, frameworks, and integration tooling.
- We need practical DevOps experience with Linux, Kubernetes, Git, CI/CD, infrastructure as code, and observability. Combine IaaS, PaaS, SaaS, and on-premises components into supportable solutions; understand production security and identity; and explain architectural tradeoffs clearly.
- A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Ways to stand out from the crowd:
- Familiarity with LLMs, RAG, and generative AI, open-source contributions, or research publications can demonstrate additional expertise
- We value AWS or Azure networking, leaf-spine fabrics, EVPN/VXLAN, SD-WAN, Helm, GitOps, and observability tools such as Prometheus or Grafana. GPU, DPU, ARM, InfiniBand, RoCE, and NVIDIA experience also helps.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
