Apply on Employer Site

Los Alamos National Laboratory · 1 day ago

R&D Computer Scientist 2

Los Alamos, NM

Full-time

Hybrid

Mid Level

4+ years exp

Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a Computer Scientist to research and develop computational methods for high-performance computing applications, collaborating across various fields and presenting findings at professional events.

Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Research and develop computational methods and software for large-scale, high-performance multi-physics applications

Collaborate with academia and industry as well as collaborators across the broader Department of Energy community

Present the results from research and development activities at conferences, workshops, and meetings

Qualification

C/C++ programmingCUDA programmingHigh-performance computingParallel programmingUnix/Linux developmentAI modelsTeamworkCommunication skills

Required

Demonstrable experience with intermediate to advanced C/C++ and CUDA programming and using other high-level programming and scripting languages (e.g., Bash, Lua, Python, or similar)

Fundamental awareness of algorithm analysis techniques as well as debugging techniques and a basic understanding of code performance analysis

A basic understanding of parallel programming, including those focused on supporting parallel architectures such as multi-core CPUs, GPUs or FPGAs

Basic familiarity with HPC programming environment and hardware

Familiarity with parallel discrete event simulations (PDES) and AI models, including distributed agentic LLM/AI

Experience in Unix/Linux-based software development environments

Ability to work both independently and collaboratively as part of a technically diverse team

Good oral and written communication skills and the ability to present the results from research and development activities at conferences, workshops, and meetings

Positions require a bachelor's degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation

Preferred

Candidates with a PhD in a relevant field such as Computer Engineering, Electrical Engineering, Computer Science or similar are preferred

Experience developing parallel and distributed memory runtime systems, algorithms, or tools for systems with heterogeneous architectures and complex memory hierarchies

Awareness of the effect of low-level architecture and software layers on code performance (e.g., page faults, NUMA memory access patterns, etc.), and the complexity associated with providing a productive software development environment

Experience with hardware simulation or emulation (gem5, sniper, qemu, etc.)

Experience developing parallel discrete event simulations (PDES) at scale and integrating LLM/AI agentic applications over PDES for extreme scale agent-based modeling (ABM)

Experience with modern LLM and AI models, in particular demonstrated ability in modifying LLM architectures to implement novel quantization methods