Senior/Staff Software Engineer, AI Agent Infrastructure

Location: Mountain View, California, United States (HQ)

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

Company

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

What you will do

• Build closed-loop measurement systems that evaluate agent workflows through acceptance, revert, and override outcomes.
• Develop evaluation and confidence mechanisms for unattended autoresearch experiments.
• Design orchestration, sandboxing, isolation, permissioning, memory, gateway, and observability layers for AI agents.
• Enable agents to work safely and audibly with production repositories and infrastructure.
• Automate research loops for driving-model training pipelines, including experiment execution, evaluation, and proposal generation.
• Build agent-powered tools for code generation, review, debugging, testing, CI failure attribution, retrieval, and triage.

Requirements

• 5+ years of software engineering experience, or 4+ years with a master's degree; staff-level candidates need deeper scope and ownership.
• Deep knowledge of LLM training, post-training, inference, attention, KV-cache behavior, batching, scheduling, quantization, speculative decoding, and context handling.
• 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 research infrastructure, inference serving, agent architectures, tool-integration protocols, platform engineering, observability, or security isolation.

Nice to have

• Experience with Go, C++, or Rust in addition to Python.
• Experience with model-routing or gateway layers, plugin or skill frameworks, and multi-agent coordination.

Culture & Benefits

• Small startup-style team operating within an established autonomous-driving company.
• Direct access to engineering leadership and the CEO, with substantial ownership of technical decisions.
• Access to compute and production systems used for engineering automation and model research.
• Annual performance bonus, equity, and a competitive benefits package.
• Commitment to diversity, inclusion, and psychological safety.