You will be evaluated for this job based on how well you meet the qualifications above.
Candidates with experience in cybersecurity, computer network defense, vulnerabilities and countermeasures, software development and debugging, network protocols, and those with expertise in Artificial Intelligence and Machine Learning (AI/ML) are strongly encouraged to apply.
Relevant experience in multimodal data, to include: speech, image, video or text processing and/or data science, applied machine learning or artificial intelligence across the disciplines of Human Language Technology (HLT), Computer Vision (CV), Natural Language Processing (NLP) and Natural Language Understanding (NLU). Additionally, applicants with experience in visualization, data analysis, machine learning model research, development, and evaluation, data engineering, multilingual and multimodal modeling, automatic speech recognition (ASR) or language modeling, large language models (LLM) or related topics are strongly encouraged to apply.
Candidates with knowledge, skills and experience in high performance computing are also strongly encouraged to apply; in particular, processor and system architectures and networks, memory, tasking (accelerators, parallelism, resource management, heterogeneous computing), productivity (systems modeling & simulation, evaluation, prototyping and benchmarking), scalable algorithms, programming languages (Python, C++, Rust) and libraries, and hardware-software co-design.
Candidates with knowledge and experience in future telecommunication networks (5G/6G), IoT security, device management, machine learning technologies, Linux or Windows programming and debugging, software design and development, virtualization/containers, Cloud, Trusted Computing, and other specialized computer platforms are strongly encouraged to apply.
Desired Skills:
Applicants should have excellent problem-solving, communication, and interpersonal skills, and possess a range of knowledge and experience in at least two of the following areas:
- Programming (low level, high level, parallel)
- Artificial Intelligence and Machine Learning
- Foundation models (FMs) (Large Language Models (LLMs), as well as models for other modalities) - Simulation/model development and prototyping
- Software engineering
- Hardware engineering
- Architectures and Distributed Computing
- Algorithm analysis and design
- Reverse engineering
- Operating systems and/or device driver development (desktop/server/RTOS)
- Cybersecurity/Computer Network Defense
- Trustworthy systems
- Computer and network security
- Telecommunication systems