Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer (AI Infrastructure): Designing and scaling foundational cloud infrastructure and distributed systems for Large Quantitative Models (LQMs) with an accent on GPU/ML optimization and high-performance networking. Focus on evolving architectural strategy, reducing operational overhead, and leading the technical growth of the platform team.
Location: Remote (United States)
Salary: $147,200 – $276,000 (depending on geographic tier and experience)
Company
SandboxAQ is a high-growth company delivering AI solutions and Large Quantitative Models (LQMs) to address challenges in life sciences, financial services, and cybersecurity.
What you will do
- Define and execute the long-term vision for infrastructure supporting rapidly growing AI workloads.
- Design resilient, distributed systems that scale core services to meet global demand.
- Provide technical leadership and mentorship to junior engineers to foster a culture of high standards.
- Diagnose complex technical bottlenecks and decompose them into scalable architectural requirements.
- Implement foundational platform services that improve developer experience and reduce operational overhead.
- Collaborate cross-functionally with product, research, and security teams to ensure performant and secure infrastructure.
Requirements
- 8+ years of professional software development experience in designing and scaling complex distributed systems.
- Demonstrated experience leading high-impact engineering teams and influencing technical strategy.
- Expertise in cloud-native infrastructure, specifically GCP and Kubernetes at scale.
- Expertise in GPU/ML infrastructure for large training and inference workloads, including scheduling and high-performance networking.
- Strong ability to decompose complex technical problems into simplified, incremental architectural designs.
- Must be based in the United States.
Nice to have
- Deep proficiency in architectural patterns for high-throughput, low-latency services.
- Experience operating in high-growth environments with rapidly pivoting infrastructure requirements.
- Experience with multi-tenant data governance, data registries, and federated access in IP-sensitive environments.
- Experience working in regulated environments with SOC2, data residency, and export control requirements.
Culture & Benefits
- Fully remote work environment with flexible paid time off and company-wide seasonal breaks.
- Competitive base salary, performance-based incentives, and equity participation.
- Comprehensive medical, dental, and vision coverage for employees and dependents.
- Retirement savings plans with company matching.
- Paid parental leave and inclusive family-building benefits.
- Opportunities for continuous learning through cross-functional collaboration and internal development programs.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
10 дней назад
Member of Technical Staff, Machine Learning (AI)
10 дней назад
Member of Technical Staff, Machine Learning (AI)
10 дней назад
Senior Member of Technical Staff, Machine Learning (AI)
10 дней назад
Member of Technical Staff, Machine Learning (AI)
10 дней назад
Member of Technical Staff, Machine Learning (AI)
10 дней назад