Staff Software Engineer (Autonomous Vehicles)

TL;DR

Staff Software Engineer (Autonomous Vehicles): Architecting and leading the development of real-time onboard algorithms for dynamic map updates with an accent on sensor fusion and geometric reasoning. Focus on solving high-stakes safety challenges, optimizing low-latency compute solutions, and integrating machine learning with classical algorithms.

Location: Hybrid: Mountain View, California (must be in office at least 3 days per week)

Salary: $189,000 - $303,000 per year

Company

hirify.global is developing self-driving technology to create a safer and more efficient transportation ecosystem for mobility and logistics.

What you will do

• Architect the technical roadmap for onboard algorithms that update map content dynamically in response to environmental changes like construction zones.
• Define architecture for real-time, low-latency compute solutions under strict embedded performance and safety constraints.
• Partner with Motion Planning, Localization, and Perception teams to ensure seamless end-to-end map integration.
• Lead the safety case formulation for modern machine learning and classical fusion methods to ensure deterministic performance.
• Oversee the development of graph-centric and geometric algorithms for accurate local geometry of lane lines and surfaces.
• Provide technical mentorship, conduct design and code reviews, and foster engineering excellence.

Requirements

• Extensive professional experience with production-grade C++ in resource-constrained environments.
• Strong proficiency in Python for rapid prototyping and testing of spatial algorithms.
• Deep understanding of 3D geometric reasoning, coordinate transforms, and spatial data at scale.
• Mastery of graph theory, network optimization, and complex search algorithms.
• Proven track record of leading complex technical projects from concept to production and mentoring other engineers.
• Must be located in or able to work from Mountain View, CA (Hybrid)

Nice to have

• Expertise in Deep Learning architectures for spatial, temporal, or sensor data.
• Knowledge of Bayesian Inference, Kalman filtering, or state-estimation techniques.
• Experience with Spline Manipulation and geometric curves for trajectory modeling.
• Prior experience in the autonomous vehicle industry or safety-critical robotics.

Culture & Benefits

• Hybrid work environment with a requirement of 3+ days per week in the office.
• Culture centered on integrity, high goals, and collaboration without "jerks".
• Compensation includes base salary, annual bonus, and equity.
• Strong organizational commitment to safety and inclusive hiring practices.