Hardware / Software CoDesign Engineer (AI)

TL;DR

Hardware / Software CoDesign Engineer (AI): Developing and optimizing next-generation AI-native silicon and system-level solutions with an accent on co-designing hardware for programmability and performance. Focus on simulating workloads, driving decisions on compute core and memory hierarchy, and collaborating with kernel and compiler teams to minimize bottlenecks for large-scale ML model training and inference.

Location: Must be based in San Francisco, CA (Hybrid: 3 days/week in office). Relocation assistance available.

Salary: $342,000–$555,000 + Equity.

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Co-design future hardware architectures with vendors to improve AI workload efficiency.
• Develop system performance models to analyze scale-up and scale-out requirements.
• Collaborate with compiler and kernel engineers to support optimal performance on target accelerators.
• Drive decision-making regarding compute core features and memory hierarchy.
• Evaluate potential hardware partner platforms and influence their product roadmaps.

Requirements

• 4+ years of industry experience in high-scale compute or ML platform optimization.
• Strong expertise in software/hardware co-design and AI accelerators (GPU/other).
• Proficiency in CUDA or Triton and systems programming in C/C++ and Python.
• Deep understanding of deep learning fundamentals and chip architecture.
• Ability to collaborate across ML, kernel, compiler, and hardware teams.

Nice to have

• PhD in Computer Science or Engineering with a focus on Computer Architecture or Parallel Computing.
• Strong understanding of LLM training and inference challenges.

Culture & Benefits

• Hybrid work model with a 3-day office presence in San Francisco.
• Opportunity to work on cutting-edge AI supercomputing infrastructure.
• Competitive compensation package including equity.
• Commitment to diversity, equal opportunity, and inclusive deployment of AI.