Software Engineer, Data Infrastructure

• Experience: 5+ years of backend or data infrastructure experience, operating at a Senior, Staff, or Principal level.
• Engineering Excellence: Deep, expert-level proficiency in systems languages (e.g., Rust, Go, C++, or highly optimized Python/Java, Spark) and a fundamental understanding of memory management, compute limits, and distributed systems architecture.
• High-Throughput / Low-Latency Data: Proven track record of processing massive datasets. You understand how to optimize massive batch jobs and parallel processing across distributed simulation nodes without sacrificing speed.
• Information Retrieval & Context Surfacing: You don't need a background in AI agents, but you must be an expert in surfacing the right needle from an ocean of hay to feed decision-making engines. We highly value engineers with backgrounds in:
• Search & RecSys: Building complex information retrieval systems or recommendation engines.
• Gaming / MMOs: Managing complex state, data relationships, and telemetry for massive, highly populated simulations.
• High-Frequency Trading (HFT): Processing disparate, massive streams of data for algorithmic decision-making.
• Mission-Driven: A strong desire to build robust, foundational technology that supports national security and defense modernization.

Nice to Have

• Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be eligible and willing to obtain one.

with LLM context optimization, vector embeddings, or agentic AI frameworks (e.g., advanced RAG architectures).

Deep domain experience working with wargaming data, complex systems modeling, or distributed simulation protocols.

Previous experience in a high-growth, 0-to-1 startup environment.

• Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be eligible and willing to obtain one.
• Experience with LLM context optimization, vector embeddings, or agentic AI frameworks (e.g., advanced RAG architectures).
• Deep domain experience working with wargaming data, complex systems modeling, or distributed simulation protocols.
• Previous experience in a high-growth, 0-to-1 startup environment.

packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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