Staff Software Engineer — Build AI-Driven Vehicle Parts Platform

Partly; Austin (TX); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Healthy, Catered Lunches

Wellness allowance $1,500 annually

Parental leave (3 months)

Office-first with flexibility

Relocation assistance

Equity with ESOP

Season openers & offsite gatherings

Relocation support for HQ move

Job summary

Partly is building the AI infrastructure layer for the global repair industry. We are hiring Staff and Senior Staff Engineers to lead technically on that work. Youll own the systems that matter most, set direction on cross-team problems, and direct the output of engineers around you.

Youll write production code and spend time making others better. The timing matters as we scale; the architecture you choose now will shape the next hundred engineers.

Qualifications

• Typically 6+ years building and operating complex production systems.
• Experience owning systems across team boundaries and driving impact.
• Strong fundamentals in data structures, concurrency, distributed systems, API design.

Responsibilities

• Own mission-critical systems end to end, design, build, operate.
• Set technical direction across services and teams; determine reliability trade-offs.
• Direct the work; break down problems, review designs, and ship robust solutions.
• Solve scale challenges across millions of parts, configurations, languages.
• Build the platform Interpreter runs on and guide architecture decisions.
• Work across the stack with backend data work and product-facing surfaces.
• Raise the engineering bar through design reviews and mentoring.

Skills

System ownership

Cross-team leadership

Distributed systems

API design

Rust / backend

Mentoring engineers

Data modeling

Performance optimization

Job description

Partly is building the AI infrastructure layer for the global repair industry. We are hiring Staff and Senior Staff Engineers to lead technically on that work. Youll own the systems that matter most, set direction on cross-team problems, and direct the output of engineers around you.

Youll write production code and spend time making others better. The timing matters as we scale; the architecture you choose now will shape the next hundred engineers.