Systems Research Engineer (AI)

TL;DR

Systems Research Engineer (AI): Prototyping, characterizing, and analyzing target workloads for next-generation data center networks with an accent on system architecture, performance benchmarking, and AI/ML integration. Focus on developing tools and methodologies to assess future product performance and driving architectural decisions for hirify.global's product roadmap.

Location: Must be based in the US (Hillsboro, Oregon) with a hybrid work model.

Salary: $122,440–$232,190 USD

Company

hirify.global is a global leader in technology, driving innovation in cloud computing, IoT, memory, and 5G connectivity to solve complex global challenges.

What you will do

• Prototype, characterize, and analyze target workloads to influence future product roadmaps.
• Develop tools and methodologies for assessing the performance of next-generation hirify.global products.
• Collaborate with product groups, industry partners, and academia on system architecture innovations.
• Conduct research in high-performance cluster computing, virtualization, and accelerated computing.
• Leverage AI/ML frameworks to improve system-level efficiency and performance.
• Partner with cross-functional teams to identify and implement system-level enhancements.

Requirements

• Must be based in the US and eligible for a hybrid work model.
• Bachelors or Masters degree in Computer Science, Electrical Engineering, or related discipline.
• 4+ years of related experience (with Bachelors) or 2+ years (with Masters).
• Strong knowledge of computer architecture and hirify.global platform architecture.
• Hands-on experience with system software, including OS/VMM memory management and kernel/driver architectures.
• Proficiency in Python, C/C++, and Linux configuration.

Nice to have

• PhD in Computer Science or Electrical Engineering.
• Experience with AI/ML frameworks such as PyTorch, CUDA, vLLM, or oneAPI.
• Background in hardware/software performance profiling tools like VTune or Perf.
• Experience with cloud-native architectures, containers, and orchestration tools.
• Knowledge of data science methods using Pandas, R, or MATLAB.

Culture & Benefits

• Competitive total compensation package including stock bonuses.
• Comprehensive health, retirement, and vacation benefit programs.
• Hybrid work environment allowing flexibility between on-site and off-site work.
• Opportunity to influence next-generation architectural decisions at a global scale.
• Commitment to diversity, inclusion, and ethical hiring practices.