Software Engineer, Applied AI Infrastructure (AI)

Location: Mountain View, California, United States

Salary: $193,930–$352,290 base pay annually, plus performance bonus, equity, and benefits.

Company

hirify.global develops Level 4 autonomous-driving technology and a universal autonomy platform for robotaxis, logistics fleets, and other vehicles.

What you will do

• Build closed-loop measurement systems that evaluate agent outcomes through acceptance, revert, and override rates.
• Automate bounded research workflows so agents can form hypotheses, launch experiments, evaluate results, and propose or discard changes without continuous human intervention.
• Design isolation, sandboxing, identity, permissioning, and auditability for agents operating on production repositories and infrastructure.
• Develop orchestration, tool and skill frameworks, memory, gateways, and observability for production agent systems.
• Build agent-powered tools for code generation, review, debugging, CI failure attribution, knowledge retrieval, and triage.
• Support post-training and fine-tuning of models when internal workloads justify dedicated models.

Requirements

• 3+ years of software engineering experience, or 2+ years with a Master's degree; deeper scope and ownership for Staff-level candidates.
• Strong, current understanding of LLM training, post-training, inference optimization, and model behavior.
• Production experience building and operating LLM-based agent systems with tool use, orchestration, sandboxing, retrieval, and memory.
• Strong backend and distributed-systems experience at scale, including cloud infrastructure, service design, storage, and queuing.
• Strong Python programming skills and hands-on experience with SFT, preference optimization, reinforcement learning, distillation, and evaluation.
• Experience with ML training or research infrastructure, inference serving, experiment orchestration, evaluation pipelines, and meaningful-scale cost or capacity management.

Nice to have

• Experience with planning, reflection, long-horizon memory, or multi-agent coordination.
• Experience with open tool-integration protocols, plugin or skill frameworks, and model-routing or gateway layers.
• Background in developer experience, platform engineering, observability, or security isolation.
• Go, C++, or Rust experience in addition to Python.

Culture & Benefits

• Work in a small startup-style team inside an established autonomous-driving company.
• Direct access to compute, production systems, engineering leadership, and the CEO.
• Base pay is supplemented by an annual performance bonus, equity, and a competitive benefits package.
• Inclusive workplace focused on diversity, psychological safety, and equal opportunity.