Software Engineer (AI Inference & RL Systems)

Location: San Francisco, United States; on-site

Salary: $225,000–$550,000 annual salary, plus significant equity.

Company

hirify.global builds safe artificial general intelligence through frontier-scale pre-training, domain-specific reinforcement learning, long-context models, and inference-time compute.

What you will do

• Design and scale high-performance inference serving systems for production models.
• Optimize KV-cache management, batching strategies, scheduling, latency, and throughput for long-context workloads.
• Build and maintain distributed reinforcement learning and post-training infrastructure.
• Improve the reliability of rollout, evaluation, and reward pipelines.
• Automate fault detection and recovery across serving and RL systems.
• Profile and eliminate bottlenecks across GPU, networking, and storage layers while collaborating with Kernel and Research teams.

Requirements

• Strong software engineering and distributed systems fundamentals.
• Experience building or operating large-scale inference or training systems.
• Deep understanding of GPU execution constraints and memory trade-offs.
• Experience debugging performance issues in production machine learning systems.
• Ability to evaluate trade-offs between latency, throughput, and cost.
• Track record of owning critical production infrastructure.

Culture & Benefits

• Small, fast-paced, highly focused team working toward safe AGI.
• Integrity, hands-on ownership, teamwork, focus, and quality are core values.
• 401(k) plan with 6% salary matching.
• Health, dental, and vision insurance for employees and dependents.
• Unlimited paid time off.
• Visa sponsorship and relocation stipend to bring candidates to San Francisco, if possible.