Staff Software Engineer – Platform

🕒 vor 3 Tagen

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SandboxAQ

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2021

🤖 Künstliche Intelligenz

🔒 Cybersecurity

💊 Pharmazie

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ ist ein Unternehmen, das quantitative KI- und quanteninspirierte Technologien entwickelt, um reale Probleme in den Bereichen Arzneimittelforschung, Materialwissenschaft, Cybersicherheit und Navigation zu lösen. Sie erstellen große quantitative Modelle (LQMs), die auf physikalischen und chemischen Grundlagen beruhen, um molekulare Eigenschaften vorherzusagen, therapeutische Designs zu beschleunigen und komplexe chemische und katalytische Prozesse zu simulieren, während sie auch ihr Fachwissen in KI und Post-Quanten-Kryptografie einsetzen, um digitale Sicherheit und Navigation in GPS-losen Umgebungen zu verbessern.

Beschreibung

• Lead Architectural Strategy: Define and execute the long-term vision for our infrastructure, designing resilient, distributed systems that support our rapidly growing AI workloads. • Mentor and Develop Talent: Provide technical leadership and mentorship to junior engineers, fostering a culture of high standards, code quality, and continuous learning. • Systemic Problem Solving: Partner with engineering leads to diagnose complex technical bottlenecks and break down multifaceted infrastructure challenges using first principles into scalable, manageable technical requirements. • Drive Platform Excellence: Design and implement foundational platform services that improve developer experience and reduce operational overhead across the engineering organization. • Collaborate Cross-Functionally: Work closely with product, research, and security teams to ensure our infrastructure is secure, performant, and aligned with the company’s broader mission.

🎯 Anforderungen

• 8+ years of professional software development experience, with a proven track record of designing and scaling complex distributed systems • Demonstrated experience leading high-impact engineering teams, including mentoring junior engineers and influencing technical strategy at a staff level • Expertise in cloud-native infrastructure (GCP preferred) Kubernetes at scale • Expertise in GPU/ML infrastructure for large training, data-generation, and inference workloads, including GPU scheduling, optimization and high-performance networking • Strong ability to decompose complex technical problems into simplified, incremental, and actionable architectural designs

🏖️ Vorteile

• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Fully remote • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements