Embedded AI & FPGA R&D Intern (Year-Round)

Sandia National Laboratories; New Mexico; Hybrid; USD 26,000 - 32,000; Full time

Benefits offered by this job

Affordable housing, reasonable cost of

Minimal traffic congestion

Job summary

Sandia National Laboratories is offering a Year Round R&D Graduate Intern position in Smart Electronics Software, with a hybrid onsite/offsite work arrangement. The role focuses on developing high-TRL software for embedded platforms, applying AI-assisted methods, and integrating with hardware teams to deliver real-time autonomy solutions.

The ideal candidate is pursuing a science/engineering graduate program, holds a bachelor’s degree, and can obtain a U.S. security clearance.

Qualifications

• Earned bachelor's degree
• Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
• Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship

Responsibilities

• Develop, test, and integrate high-TRL software for embedded, electronics, and FPGA platforms.
• Apply agentic coding tools and AI-assisted development methods to improve software productivity, quality, and maintainability.
• Implement AI, machine learning, and autonomy algorithms for real-time execution on resource-constrained hardware.
• Collaborate with electronics, firmware, software, systems, and mission-domain experts to develop integrated solutions.
• Optimize algorithms and software for performance, latency, power, memory, and reliability constraints.

Skills

C/C++

Python

MATLAB

Rust

Education

Bachelor’s degree

Graduate program

Tools

Vivado

Quartus

VHDL

Verilog

SystemVerilog

Job description

Sandia National Laboratories is offering a Year Round R&D Graduate Intern position in Smart Electronics Software, with a hybrid onsite/offsite work arrangement. The role focuses on developing high-TRL software for embedded platforms, applying AI-assisted methods, and integrating with hardware teams to deliver real-time autonomy solutions.

The ideal candidate is pursuing a science/engineering graduate program, holds a bachelor’s degree, and can obtain a U.S. security clearance.