Onsite Edge AI Engineer: Embedded & FPGA

Sandia National Laboratories; New Mexico; On-site; USD 102,000 - 200,000; Full time

Job summary

Sandia National Laboratories in Albuquerque, NM, is seeking an Early Career AI Engineer to advance embedded and FPGA systems. You will develop AI-enabled software for real-time edge applications on constrained hardware, collaborating across electronics, firmware, and software teams to deliver robust, high-TRL solutions.

The role emphasizes agentic coding workflows, AI-assisted development, and deployment of autonomy algorithms to mission-critical platforms, onsite with relocation support.

Qualifications

• Bachelor's degree in a relevant discipline or equivalent combination of education and experience.
• Ability to acquire and maintain a DOE Q clearance and SCI clearance, which may require a polygraph.
• Experience developing software and AI systems for enterprise and national security applications.

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.
• Support hardware-in-the-loop testing, embedded platform bring-up, verification, validation, and fieldable prototype demonstrations.
• Contribute to software architectures, development workflows, and best practices for trusted AI-enabled embedded systems.
• Explore emerging tools and methodologies for applying generative AI and autonomous coding agents to mission software development.

Skills

C/C++

Python

Rust

MATLAB

Embedded systems

Education

Bachelor's degree

Tools

VHDL/Verilog

HLS tools

Vivado/Quartus

Job description

Sandia National Laboratories in Albuquerque, NM, is seeking an Early Career AI Engineer to advance embedded and FPGA systems. You will develop AI-enabled software for real-time edge applications on constrained hardware, collaborating across electronics, firmware, and software teams to deliver robust, high-TRL solutions.

The role emphasizes agentic coding workflows, AI-assisted development, and deployment of autonomy algorithms to mission-critical platforms, onsite with relocation support.