Senior Software Engineer (Autonomous Driving)

TL;DR

Senior Software Engineer (Secondary Driving System): Develop and optimize production-grade C++ software across the autonomy stack for fail-operational Secondary Driving System with an accent on motion planning and controls in robotics context. Focus on integrating ML-based perception, trajectory generation, optimal control, and vehicle dynamics handling under tight latency constraints.

Location: Remote, but expected to report to Mountain View, CA office 3 days/week if living within 50-mile radius. Eligible for relocation benefits.

Salary: $170,600 - $261,300

Company

hirify.global is redefining mobility through human-centered design, intelligent software, and next-generation safety features for autonomous vehicles.

What you will do

• Develop production C++ software integrating ML perception (detection, tracking, prediction) with planners and controllers under latency constraints.
• Design planning and controls algorithms for lane-keeping, obstacle avoidance, lane changes, and minimal risk maneuvers.
• Define interfaces with state estimation, mapping, localization for reliable SDS engagement on primary system failures.
• Own features end-to-end: requirements, design, implementation, simulation, testing, and iteration based on metrics.
• Apply best practices: clean code, reviews, CI, testing, profiling, and observability.
• Debug integration issues across perception, planning, controls, and vehicle behavior.
• Align designs with safety and systems engineering for fail-operational requirements.
• Mentor engineers through reviews and discussions.

Requirements

• BS/MS/PhD in CS, Robotics, EE/ME or equivalent + 5+ years in robotics/AV/real-time systems.
• Strong modern C++ (14/17+) in large codebases; Python for tooling.
• Experience in motion planning/controls: trajectory generation/tracking, MPC/optimization, PID/LQR, vehicle constraints.
• Integration with perception/prediction pipelines.
• Track record of reliable AV/robotics software with testing/metrics under constraints.
• Strong communication across ML/systems/safety disciplines.

Nice to have

• ROS or robotics middleware.
• Safety-critical software or functional safety collaboration.
• GPU ML inference and optimization.

Culture & Benefits

• Comprehensive health/dental/vision, HSA/FSA, retirement savings, life insurance.
• Paid vacation/holidays, tuition assistance, employee assistance, vehicle discounts.
• Inclusive workplace focused on zero crashes/emissions/congestion vision.
• Support for well-being and career growth from day one.