PSI
Member of Technical Staff, Infrastructure
Boston · Staff+
Sponsorship not specifiedDetected 70 days ago
SnowflakeDatabricksAWSGCPCloud PlatformsKubernetesTerraformCI/CDPrometheusGrafanaDatadogRESTMachine LearningLLMsResearch
About the role
- Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
- The last century's golden age of physics gave us transistors, lasers, and nuclear energy.
- We believe artificial superintelligence will unlock the next one.
Responsibilities
- Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale.
- choose the tooling, design the modules, and make every research workflow, training job, and customer-facing AI product deployable through code.
- Design and run the release engineering pipeline that ships code from commit to production.
- Establish the infrastructure-as-code discipline at PSI: choose the tooling, design the modules, and make every research workflow, training job, and customer-facing AI product deployable through code.
- Define and meet SLOs, build observability and alerting, schedule GPU and CPU capacity, lead incident response.
- engineers work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage.
Requirements
- You have built and operated multi-cloud production deployments end-to-end, from initial cloud setup through to release pipelines.
- You have run production training jobs and shipped served-model surfaces.
- You have led incidents, written runbooks, reduced toil with code, and built systems that scale without bureaucracy.
Nice to have
- Built CI/CD or release engineering pipelines from scratch at a fast-growing company.
- Hands-on with model serving infrastructure such as vLLM, Triton, or comparable.
- Production observability with OpenTelemetry, Prometheus, Grafana, or comparable.
- Background in scientific computing, HPC, or research compute environments.
- This role is based in Boston.
- We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity.
Skills
- new physics, at scale.
- Role and Responsibilities
- the paid API, model training jobs for our proprietary physics LLM, agentic research workflows, and customer deployments.
- Be the leverage layer for the rest of engineering.
- Write tools they use, not tickets they wait on.
Compensation
- Location and Compensation
Benefits
- We offer competitive compensation including salary, benefits, and meaningful early-stage equity.
Company info
- We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Equal opportunity
- We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
This listing is sourced directly from PSI's careers page and normalized into a canonical job model.