Software Engineering Intern

### Who you are
- Currently pursuing BS/MS/PhD in Computer Science, Engineering, Physics, Math, or related field
- Strong Python skills, including clean API design, OOP, packaging, and testing
- Working knowledge of distributed/remote compute concepts (jobs, clusters, queues) and cloud storage fundamentals
- Familiarity with quantum computing applications/algorithms (resource estimation, quantum simulation, or adjacent numerical methods); comfort with linear algebra and scientific computing
- Databricks experience (Jobs API/SDK, workspace organization, catalog/permissions patterns)
- AWS experience (S3, IAM/credentials handling, boto3-style tooling, cost monitoring patterns)
- Experience with scientific Python stacks and GPU compute (JAX/NumPy/SciPy; performance profiling)
- Exposure to quantum chemistry workflows, tensor factorization, or benchmark-driven research engineering

### What the job involves
- This is an internship opportunity under the Quantum Applications Software Architecture team
- The intern will work with other software engineers across the company and department to build productionalized software solutions
- They will help build and harden an internal automation platform that lets researchers run quantum-application workloads end-to-end, with reproducible lineage and centralized storage
- A major part of the internship is improving the reliability, governance, and usability of the data/compute platform (Databricks + AWS-backed storage), while also contributing to benchmarking and algorithm-adjacent components of the quantum workflow
- Implement governance patterns for datasets and run outputs (naming, lineage, access boundaries, catalog/volume organization)
- Improve dataset upload validation and guardrails to prevent accidental modification of unrelated storage paths and to enforce consistent metadata and file structure
- Build monitoring and reporting for compute usage and cost drivers (job frequency, runtime, GPU utilization proxies, storage growth, auto-termination effectiveness)
- Deliver dashboards that make platform health and spend understandable to both engineers and researchers
- Refactor existing job setup / submission scripts into a maintainable, testable OOP design (clear interfaces, configuration objects, reusable clients)
- Improve workflow parameter handling for the two-stage pipeline (tensor factorization stage and QRE stage) and standardize outputs for downstream analysis
- Reduce onboarding friction by abstracting authentication and setup into a single, ergonomic path (e.g., a CLI/Python entry point that validates auth, environment, and required dependencies)
- Replace “follow the guide manually” with automation: preflight checks, actionable errors, and self-serve setup validation

### Benefits
- Financial & Retirement: 401(k) with company match, equity grants, and access to financial wellness tools and planning resources.
- Health: Competitive health coverage for you and your dependents that go beyond your standard medical, dental & vision.
- Wellness: $200 quarterly health reimbursement, 12 therapy + 6 coaching sessions with Modern Health for you and depndents, and annual membership to Care.com.
- Time Off: Discretionary Time Off (DTO) for full-time employees in addition to federal holidays and an end-of-year company shut-down.
- Family Leave: 12 weeks of paid parental leave with the support of a dedicated leave consultant.
- Flexible WOrk: Work in office, hybrid, or remote depending on your team and location.