2 дня назад
Software Architect (AI Infrastructure)
245 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Architect (AI Infrastructure): Defining and evolving the end-to-end architecture of an enterprise-grade AI inference platform with an accent on distributed systems, Kubernetes, scalability, reliability, and performance. Focus on designing cloud-native infrastructure for production-scale foundation model workloads, resolving systemic scaling risks, and aligning technical direction across engineering teams.
Location: San Jose, California, United States
Salary: $245,000–$325,000 USD base salary per year
Company
builds integrated hardware and software platforms for enterprise and government generative AI and high-performance computing.
What you will do
- Own the end-to-end technical architecture of the SambaStack AI inference platform.
- Define architectural strategy and technical direction across multiple engineering teams.
- Lead design reviews and provide guidance for major platform capabilities and cross-cutting system changes.
- Identify and resolve performance bottlenecks, reliability gaps, and scaling constraints.
- Establish architectural standards, patterns, and engineering best practices.
- Partner with ML Engineers, Product Managers, QA, and DevOps to design systems for production-scale AI inference workloads.
Requirements
- 12+ years of software engineering experience, including organization-wide technical influence.
- Experience owning large-scale distributed systems architectures from design through production.
- Expertise building backend systems with Python, Go, or Rust.
- Expert-level Kubernetes knowledge, including Operators, Helm Charts, and cluster-scale resource management.
- Strong understanding of consistency, fault tolerance, observability, and performance at scale.
- Experience setting technical direction, aligning multiple teams, communicating complex decisions, and mentoring engineers.
Nice to have
- Experience with AI inference serving, orchestration, and production-scale LLM infrastructure.
- Experience designing systems for GPUs, TPUs, dataflow architectures, or other hardware accelerators.
- Background in ML application optimization and productionization.
- Experience building cloud-native enterprise platforms with stringent SLA and compliance requirements.
- Experience at a high-growth AI infrastructure company or familiarity with AI coding assistants and developer tooling.
Culture & Benefits
- Work on an integrated AI hardware and software platform addressing complex computational problems.
- US-based full-time employees receive equity and a comprehensive benefits package.
- Medical insurance premiums are covered at 95% for employees and 77% for dependents.
- Benefits include HSA and FSA options, dental and vision insurance, disability coverage, life insurance, and AD&D.
- Well-being benefits include Headspace, Gympass+, One Medical, and counseling services through an Employee Assistance Program.
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