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SandboxAQ

AI and quantum security solutions

Staff Software Engineer - Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of professional software development experience, including a track record of designing and scaling complex distributed systems.
  • Experience leading high-impact engineering teams, mentoring junior engineers, and influencing technical strategy at a staff level.
  • Expertise in cloud-native infrastructure; Google Cloud Platform is preferred, and Kubernetes at scale is required.
  • Expertise in GPU and machine-learning infrastructure for large training, data-generation, and inference workloads, including GPU scheduling, optimization, and high-performance networking.
  • Ability to decompose complex technical problems into simplified, incremental, actionable architectural designs.

Responsibilities

  • Define and execute the long-term infrastructure vision, designing resilient, distributed systems to support growing artificial intelligence workloads.
  • Provide technical leadership and mentorship to junior engineers, fostering high standards, code quality, and continuous learning.
  • Partner with engineering leads to diagnose technical bottlenecks and break down infrastructure challenges into scalable, manageable technical requirements using first principles.
  • Design and implement foundational platform services that improve developer experience and reduce operational overhead across the engineering organization.
  • Work with product, research, and security teams to ensure infrastructure is secure, performant, and aligned with the company’s broader mission.

Desired Qualifications

  • Deep proficiency in architectural patterns for high-throughput, low-latency services.
  • Experience operating in high-growth environments where infrastructure requirements change rapidly in response to scientific or product discoveries.
  • Experience with multi-tenant environments, data governance, data registries, lineage, and federated access for model tuning in environments with sensitive intellectual property.
  • Experience in regulated or compliance-bound environments involving data residency, export controls, SOC 2, and strict isolation requirements.

About the Company

SandboxAQ

AI and quantum security solutions

SandboxAQ helps organizations prepare for the impact of quantum computing by combining artificial intelligence and quantum technologies. Its offerings include crypto-agile security, quantum sensing, and quantum simulation and optimization, delivered as services and solutions to global clients. The company works with leading professional services firms to help clients implement AQ solutions, and it also engages in research fellowships and hiring for PhD and post-doc roles. Unlike others that only develop hardware or software, SandboxAQ emphasizes enabling enterprises and even nations to gain a competitive edge before scalable, fault-tolerant quantum computers are widely available, and to bridge the global digital divide through practical, implementable solutions. Its business model centers on providing services and solutions, monetized through client engagements and partnerships with professional services firms.

Company size
201-500
Company stage
Grant
Total funding
$1.6B
Headquarters
Palo Alto, CA
Founded
2021

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