Senior Software Engineer - Data Engine

Responsibilities

• Construct optimized data pipelines for running machine-learning models.
• Evolve the data-engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles.
• Build and optimize edge and cloud systems that run perception models and ingest video data.
• Integrate LLMs, VLMs, and multimodal foundation models for labeling, quality assurance, and data discovery.
• Build MLOps tooling that provides pipeline insight and visibility to stakeholders.
• Leverage software-in-the-loop and hardware-in-the-loop testing.
• Interact with DoD customers during field events to understand use cases, requirements, and triage needs.

Requirements

• 5+ years of relevant work experience.
• Familiarity with modern ML infrastructure, data-centric AI approaches, and large-scale GPU jobs.
• Experience creating or working on microservices and/or databases for data-oriented software.
• U.S. citizenship, legally required for the role, and eligibility to obtain a security clearance.
• Preferred: full-stack experience with React, TypeScript, Python, Golang, or similar technologies.
• Preferred: experience with Docker, Kubernetes, Opensearch, and Postgres.
• Preferred: direct experience with foundation models, including LLMs and VLMs, for data automation.
• Preferred: background in autonomous driving or robotics perception.
• Preferred: experience with active learning, auto-labeling, or human-in-the-loop ML systems.

Benefits

• Full-time employees primarily work in the office five days per week, with occasional remote-work flexibility; this expectation does not apply to contractors.
• Benefits may include equity, health, dental, vision, life and disability insurance, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.
• The company provides reasonable accommodations for disabled veterans and applicants with disabilities or medical conditions.