5 months ago
Washington, DC, USA or Austin, TX, USASenior
Responsibilities
- Collaborate with customers to scope, deploy, maintain, troubleshoot, and integrate AI solutions in production environments.
- Design, develop, and deploy agentic workflows for multi-step reasoning, tool use, and decision-making.
- Debug and optimize data pipelines and AI systems running on customer networks.
- Translate ambiguous customer requirements into well-scoped technical solutions.
- Work across the stack from model inference on consumer hardware to infrastructure automation.
- Read hardware schematics and logs to identify performance bottlenecks and recommend improvements.
- Serve as a trusted technical advisor to enterprise clients and represent the engineering team externally.
- Provide feedback to internal teams to improve product robustness and usability.
Requirements
- 5+ years of combined software engineering and machine learning experience.
- Active US security clearance.
- Proven experience deploying and maintaining machine learning or AI systems in production.
- Strong expertise with ML frameworks such as PyTorch, TensorFlow, ONNX, and JAX.
- Experience debugging systems involving data pipelines, model inference, and hardware interaction.
- Strong communication skills and the ability to turn vague requirements into actionable plans.
- Comfort working in dynamic environments with substantial customer exposure.
- Preferred: experience deploying models on edge devices or consumer hardware.
- Preferred: familiarity with distributed systems, DevOps tooling, and performance tuning.
- Preferred: prior customer-facing engineering experience.
- Preferred: proficiency developing full-stack applications.
- Preferred: knowledge of privacy-preserving AI and secure compute environments.
- Preferred: master’s degree in a relevant technical discipline.
Benefits
- Competitive salary.
- Comprehensive health, dental, and vision benefits package.
- 401(k) match.
- Equity options.
- $200/month Health & Wellness stipend.
- Continuing Education support.
- $500/year Function Health subscription.
- Free parking for in-office employees.
- Flexible Time Off (FTO).
- Parental leave for eligible employees.
- Supplemental life insurance.
- Direct, full-time employment; ideal locations are Austin, Texas or the Washington, D.C./Northern Virginia area, with fully remote work considered case by case.
- Up to 25% travel, including occasional on-site customer work; qualified candidates outside Austin may travel to the Austin headquarters.
Tech Stack
PyTorchTensorFlow
Categories
Forward Deployed
