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EdgeRunner AI is building state-of-the-art AI systems for tactical edge deployment, enabling warfighters to make better decisions faster by synthesizing diverse data streams and interfacing with robotic platforms using natural language. The company specializes in bringing productized AI directly to end users in harsh and extreme conditions, with data security ensured by keeping information on-device.
In this role, you will build foundational infrastructure for the EdgeRunner Research organization. You'll own codebases and develop libraries supporting the full ML stack: data acquisition and processing, model evaluation, efficient parallelization, high-performance kernels, low-loss quantization and compression, and more. The work spans multiple specialized areas depending on your expertise.
EdgeRunner is a Series-A startup moving quickly. The team values self-starters who take initiative, translate business objectives into technical solutions, interact with customers, and operate comfortably with ambiguity. Every engineer is a project owner capable of independent work while collaborating as part of a team.
The company offers 100% remote-first culture (work from anywhere in the US), competitive salary and equity, 100% covered health/dental/vision for employees (50% for dependents), 401K, unlimited PTO, and IT equipment stipend.
**REQUIREMENTS**
Must-have:
- U.S. citizenship (required by federal law to obtain security clearance)
- Eligibility to receive TS/SCI clearance; strong candidates will have active clearance
- Experience building libraries and owning codebases in one or more of: scalable data processing, distributed model training environments, complex training architectures (distillation, RL, etc.), specialized reinforcement learning gyms, compute and cluster management, data/model/pipeline versioning, compute kernel development, quantization and compression, or large-scale evaluations
Preferred:
- Track record of taking initiative and operating independently
- Ability to understand how business objectives translate to technical solutions
- Customer interaction experience
- Comfort with ambiguity in a fast-moving startup environment
