We are looking for a Solution Architect for the Telecommunications Industry team with domain specific knowledge and experience in AI and telecom operation. At NVIDIA, our Solution Architects are drawn from best-in-class engineers, architect, developers, and scientists who enjoy working with the latest technologies in data analytics and AI/ML/DL. NVIDIA platforms are broadly used across leading academic research centers, telecommunication and cable providers, industry software vendors and ecosystem start-ups. We need a passionate, hard-working, and creative individual to become a trusted technical who believes that accelerated computing, deep learning, advanced data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire telecommunication domain.
What you will be doing:
Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.
Realize our vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV).
Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption.
Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments.
What we need to see:
MS or PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields
5+ years of relevant experience in telecommunication industry, networking hardware, networking software system development, or systems engineering or equivalent experience.
Relevant experience in AI/ML/DL or 5G/6G network architecture in telecom.
Good understanding of telco, cloud, or enterprise IT/OT (management and workload orchestration on cloud-native platforms), and experience in cloud-native application deployment.
Strong analytical and problem-solving skills with an ability to switch between high-level systems view and low-level design.
Ability to take a technical leadership in a project.
Good interpersonal skills (written and oral) and intellectual honesty.
Ways to stand out from the crowd:
Expertise in network digital twins or telco network simulations.
Experience with building simulations or digital twins.
Experience with NVIDIA AI platform and tools.
Strong time-management and organization skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
NVIDIA is committed to fostering a diverse 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.
Skills Required
- MS or PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields
- 5+ years relevant experience in telecommunications, networking hardware/software development, or systems engineering (or equivalent)
- Relevant experience in AI/ML/DL or 5G/6G network architecture in telecom
- Good understanding of telco, cloud, or enterprise IT/OT and workload orchestration on cloud-native platforms
- Experience in cloud-native application deployment
- Strong analytical and problem-solving skills with ability to switch between high-level systems view and low-level design
- Ability to take technical leadership in a project
- Good interpersonal (written and oral) skills and intellectual honesty
- Expertise in network digital twins or telco network simulations
- Experience building simulations or digital twins
- Experience with NVIDIA AI platform and tools
- Strong time-management and organization skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
