# Math Libraries Intern, cuEST - Summer 2027

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA is looking for software engineering interns to join the math libraries team building cuEST, a CUDA-X math library that accelerates quantum chemistry on NVIDIA GPUs. Launched in March 2026, cuEST provides accelerated APIs for essential functions in electronic structure computations, starting with Gaussian-basis quantum chemistry. These capabilities power applications ranging from drug discovery to semiconductor process development. We are constantly working to improve the feature set, performance, and technology stack of cuEST. If the idea of helping expand the frontiers of electronic structure theory excites you, come join our team and help us build GPU-accelerated software used

- **Id**: 3660862
- **Url**: <https://alion.io/job/nvidia-math-libraries-intern-cuest-summer-2027>
- **Role**: Early Careers
- **Role family**: Early Careers
- **Seniority**: intern
- **Employment type**: internship
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Santa Clara, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-02T00:00:00Z
- **Employer posted date**: 2026-11-02
- **Last verified at**: 2026-11-09T01:23:15Z
- **Board verified**: yes
- **Days open**: 7
- **Description format**: text
- **Description chars**: 4157
- **Description truncated**: no
- **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**: 84
- **Open postings**: 797
- **Ghost share**: 0.025
- **Stale share**: 0.55
- **Repost share**: 0.055
- **Time to fill p50 days**: 41
- **Computed at**: 2026-11-09T06:03:00Z

## Technologies

- **AI Agents** — Optional: no
- **C++** — Optional: no
- **CUDA** — Optional: no
- **OpenCL** — Optional: no
- **Python** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 7

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-03T03:45:28Z

## 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**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 7
- **Expected fill days**: 41
- **Reasons**: conf:4, stale_co, velocity, win:early, comp:junior,brand
- **Computed at**: 2026-11-09T06:03:00Z

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