Lila Sciences
Staff/Principal DevOps Engineer, AI Inference
Cambridge, MA USA · Principal · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Your final offer will reflect your background, expertise, and expected impact.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
- We believe science is the most inspiring frontier for AI.
Responsibilities
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
Requirements
- Strong proficiency deploying to AWS using infrastructure-as-code (Terraform, Helm) with hands-on experience managing GPU-based compute (EKS, EC2 P-series/Inf/Trn instances)
- Hands-on experience with multiple accelerator families (NVIDIA A100/H100, AWS Inferentia2, Trainium, AMD MI300X) and maintaining hardware-agnostic serving infrastructure
- Multi-region deployment experience with geographic routing and failover for latency-sensitive inference endpoints
- Proficiency in Rust or Go for performance-critical infrastructure components
- Experience with model registries, artifact versioning, and ML supply chain security
- Prior startup/high-growth experience balancing velocity with reliability in rapidly scaling AI systems
Nice to have
- Strong proficiency in Python for automation, tooling, and integration with ML frameworks
Skills
- Autoscaling systems that dynamically match inference compute supply with demand across production, research, and experimental workloads
- Expertise in DevOps, SRE, or Platform Engineering with significant experience operating GPU/accelerator infrastructure at scale
Compensation
- We offer competitive base compensation with bonus potential and generous early-stage equity.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
- Expected Base Salary Range
Benefits
- Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
- U.S. Benefits.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.