Senior Platform Engineer, Medical Devices
SandboxAQ · Palo Alto, United States · 1mo ago
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
The Opportunity
We are seeking a Senior Platform Engineer to develop the infrastructure, tooling, and pipelines required to support the operational needs of our Medical Device product, from an embedded Linux fleet in the field to the cloud. Treating infrastructure as a product, you'll build the systems that let our device, cloud, and data-science software engineers ship quickly and safely. This is a hands-on, systems-minded role - you will write real tooling, not just pipeline YAML- and you will make the compliant path the fast path so we never trade patient safety for speed.
Key Responsibilities
Platform & Infrastructure
OTA & Kiosk Fleet Lifecycle: Own the build, signing, rollout, rollback, and per-device configuration for our in-field Linux kiosk fleet—along with the update mechanisms, recovery mechanisms, and operational tooling that keep fielded devices safe and reliable, and working with our cloud system.
CI/CD & Release Promotion: Own CI/CD, test-gated promotion, controlled approvals, and release traceability across both cloud and device software, defining the deployment control plane that makes releases boring, reversible, and auditable.
Observability & Infrastructure Quality: Own the operational quality bar for the platform—observability, alerting, reliability, backup and recovery, auditability, and security controls—and build the tooling that makes the safe path the default path.
AWS Infrastructure Support: Operate the AWS and Terraform foundation on which the product and engineering teams depend —reliable, secure, and reproducible—focused on keeping production systems running, rather than infrastructure for its own sake.
Developer Self-Service: Establish golden paths and self-service tools that empower engineers to deploy independently, while serving as a direct advisor for complex build or deployment issues.
Execution & Ownership
Hands-on Software Engineering: You design, build, test, and maintain real tooling and services, held to the same engineering standards as product code.
Engineer How We Meet Regulation: Turn our regulatory requirements into automated, tested tooling tied directly to delivery—traceability, software bill of materials (SBOM), artifact signing, and audit trails, plus pipeline and device security.
Cross-Functional Collaboration
Cross-Functional Execution: Be the platform infrastructure's technical voice with Product, Clinical, Regulatory, and InfoSec—translating their needs into platform work and supporting our clinical studies and regulatory submissions (e.g., 510(k) / De Novo).
Data Platform Enablement: Support the data-science team's platform needs—reproducible environments, scalable compute, and reliable model serving—as they arise.
Essential Skills & Experience
Proven Public Cloud Platform Experience: 8+ years in platform, DevOps, or infrastructure engineering in AWS, with Staff-level ownership of production CI/CD and release systems for a complex, distributed system manipulating and storing sensitive data—paired with strong, general software-engineering ability in a modern language (Python or Go)
Linux & Device Fleet Operations: Experience operating Linux-based systems and fleets of networked/IoT devices, including OTA update strategies.
CI/CD & Release Ownership: Demonstrated ownership of CI/CD and release/promotion systems, including test gating, approvals, and reversible deployments.
Infrastructure as Code: Deep expertise in Terraform/Terragrunt, plus containerization (Docker; ECS/Fargate and/or Kubernetes).
Observability & Production Reliability: Experience in building observability (Datadog/CloudWatch) and operating production systems for monitoring and alerting to provide reliability.
Highly Desired Skills & Experience
Regulated, Safety-Critical, or High-Assurance Experience (strongly preferred): Experience delivering software in a regulated, safety-critical, or other high-assurance / sensitive-data environment—medical device (IEC 62304 Class B/C) preferred, with adjacent domains such as aerospace (DO-178C), automotive (ISO 26262) or other highly regulated / high-assurance environments (e.g., financial services, defense) also welcome
Mender / Embedded OTA: Hands-on experience with Mender or comparable embedded-Linux update systems, including signed images and A/B update strategies.
Medical Device / SaMD: Experience delivering "Software as a Medical Device" through the full lifecycle, and familiarity with FDA pathways (510(k) / De Novo).
Security & Data Privacy Depth: Experience designing HIPAA/GDPR-compliant systems—audit logging, secure data transmission, PKI, device authentication, and threat modeling for connected devices.
Data / ML Platform (MLOps): Experience in data engineering or infrastructure support for data-science and ML teams, including data versioning and production model serving.
Networking & Multi-Cloud: Secure overlay networks (Tailscale/WireGuard) and multi-account/multi-region network design, and experience with GCP or Azure alongside AWS.
Diagnostic & Imaging Devices: Familiarity with diagnostic or imaging devices that have hardware in the loop, or similar physiological monitoring platforms (e.g., ECG).
Why Join Us?
We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.
Career Defining Work: Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.
Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
SandboxAQ Welcomes All
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.
Read: Guidance for candidates on using AI Tools in interviews