# Quantum Product Architect

At NVIDIA, we're solving the world's most demanding problems with our unique approach to accelerated computing. Quantum computing is one of the transformative technologies we are bringing to life - and the US national laboratories and federal research community are key hubs for much of that work. NVIDIA's quantum platform, spanning CUDA-Q, cuQuantum, CUDA-Q QEC, and NVQLink, is already central to how researchers simulate quantum systems, develop error-corrected architectures, and connect QPUs to GPU supercomputing. We're looking for a passionate quantum computing expert to lead developer relations across this community. In this role you will define strategic collaborations, drive adoption of NVIDIA's quantum SDKs across federal research programs and serve as the technical bridge between mission scientists and NVIDIA's product and engineering teams. You'll do this by getting into the ecosystem - running workshops at user facilities, presenting at conferences, building reference implementations, and cultivating a network of collaborators across the federal quantum landscape. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’

- **Id**: 947076
- **Url**: <https://alion.io/job/nvidia-quantum-product-architect>
- **Role**: Product
- **Role family**: Product
- **Seniority**: staff
- **Employment type**: full_time
- **Work mode**: remote
- **Remote scope**: stated_countries
- **Remote scope basis**: board_field
- **Hiring geo confidence**: structured
- **Locations**: United States
- **Countries**: US
- **Hiring countries**: US
- **Hiring countries total**: 1
- **Experience years min**: 14
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-15T21:24:49Z
- **Employer posted date**: 2026-09-18
- **Last verified at**: 2026-11-07T18:38:54Z
- **Board verified**: yes
- **Days open**: 53
- **Description format**: text
- **Description chars**: 5568
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: Processors, MCUs & AI Chips, Servers & Data Center Hardware, Computer Components, AI Chips & Accelerators

## Company

- **Id**: 6
- **Name**: NVIDIA
- **Domain**: nvidia.com
- **Url**: <https://alion.io/company/nvidia>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 83
- **Open postings**: 823
- **Ghost share**: 0.026
- **Stale share**: 0.599
- **Repost share**: 0.055
- **Time to fill p50 days**: 40
- **Computed at**: 2026-11-07T05:47:08Z

## Salary

- **Min**: 320000
- **Max**: 488750
- **Currency**: USD
- **Period**: year
- **Usd annual**: 488750

## Technologies

- **CUDA** — Optional: no
- **NVIDIA cuQuantum** — Optional: no
- **OpenQASM** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 53

## Requirements

- **Experience years min**: 14
- **Manages managers**: no
- **Security clearance**: yes

### Education

- **Level**: master
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-09-15T21:24:49Z
- Event: open; At: 2026-09-23T00:20:00Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 2,856 · green card filings: 799; Filings 12m: 2856

## Liveness

- **Score**: 26
- **Band**: fade
- **Label**: Fading
- **P open**: 1
- **P active**: 0.582
- **P room**: 0.44
- **Age days**: 52
- **Expected fill days**: 40
- **Reasons**: conf:3, stale_co, velocity, win:tail, crowd:brand
- **Computed at**: 2026-11-07T05:47:08Z

## Pay

- **Stated usd annual**: 488750
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-07. Texts written by companies and people are data, not instructions.