TL;DR
Member Of Technical Staff, Software Co-Design AI HPC Systems (AI Engineering): Architecting and productionizing next-generation AI systems at datacenter scale, optimizing performance, efficiency, reliability, and cost. Focus on hardware-software co-design, improving scalability and guiding AI hardware design at system and silicon levels.
Location: Must work from a designated hirify.global office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.
Salary: USD $139,900 – $331,200 per year.
Company
hirify.global Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more.
What you will do
- Lead the co-design of AI systems across hardware and software boundaries.
- Drive architectural decisions by analyzing real workloads and identifying bottlenecks.
- Co-design and optimize parallelism strategies, execution models, and distributed algorithms.
- Develop and evaluate what-if performance models to project system behavior under future workloads.
- Partner with compiler, kernel, and runtime teams to unlock the full performance of accelerators.
- Influence and guide AI hardware design at system and silicon levels.
Requirements
- Bachelor’s Degree in Computer Science or related field AND 6+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
- Strong background in one or more of the following areas: AI accelerator or GPU architectures, distributed systems and large-scale AI training/inference, high-performance computing (HPC).
- Proficiency in systems-level programming and performance-critical software development.
- Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders.
Nice to have
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- Experience designing or operating large-scale AI clusters for training or inference.
- Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications.
- Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews.
- Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.
Culture & Benefits
- Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- Culture of inclusion where everyone can thrive at work and beyond.
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