1

Slurm Jobs in Virginia (NOW HIRING)

... g., Slurm) • Strong technical documentation and reporting skills • Ability to mentor team members in HPC best practices Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek ...

... Slurm, Kubernetes, and Ansible. • Hands-on experience with network, storage, cluster configuration and debugging. • Strong analytical and problem-solving skills, along with an ability to ...

Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and troubleshooting skills. * Strong communication and interpersonal skills. * Must possess excellent time ...

Experience with workload managers (SLURM, Argo Workflow, Airflow). * Strong problem-solving and troubleshooting skills. * Strong communication and interpersonal skills. * Must possess excellent time ...

HPC Software Engineer

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to mentor team members in HPC best practices PLUG IN to CYMERTEK ...

HPC Software Engineer

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to mentor team members in HPC best practices PLUG IN to CYMERTEK ...

Showing results 21-40

Slurm information

What cities in Virginia are hiring for Slurm jobs?

Cities in Virginia with the most Slurm job openings:

Infographic showing various Slurm job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Harrisonburg, VA • On-site

Full-time

Re-posted yesterday


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination