Senior Perception Software Engineer (Autonomy)

Location: Mountain View, CA; in-office role

Salary: USD 198,000–218,000 per year

Company

hirify.global is a publicly traded autonomous technology company developing self-driving industrial vehicles for factories, warehouses, and other facilities throughout North America.

What you will do

• Design, implement, and deploy object detection, tracking, and sensor fusion algorithms for autonomous vehicles from research through production.
• Own the architecture and technical direction of perception subsystems, balancing accuracy, latency, compute, and robustness in challenging indoor and outdoor conditions.
• Define perception metrics, evaluation frameworks, continuous testing infrastructure, diagnostics, and regression datasets for automated backtesting.
• Lead simulation and production-vehicle testing, deployment, root-cause analysis, and resolution of perception failures.
• Plan milestones, estimate effort, lead technical execution, mentor engineers, and provide design and code reviews.
• Partner with simulation, hardware, systems, and QA teams on requirements, interfaces, and validation plans.

Requirements

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a similar technical field, or equivalent practical experience.
• 5+ years of professional experience developing perception software for autonomous vehicles or robotics platforms.
• Expert modern C++ programming skills, including C++17 or newer, production-grade multithreaded real-time applications, and Linux.
• Experience shipping perception systems on deployed vehicles or robotic platforms, including LiDAR point-cloud processing and camera-based computer vision and/or machine learning.
• Strong fundamentals in linear algebra, probability, optimization, and 3D geometry.
• Strong understanding of state estimation and sensor fusion for multi-object tracking.
• Experience leading technical projects and mentoring engineers.
• Strong written and verbal communication skills.

Nice to have

• MS or PhD in a relevant field.
• Python and deep learning frameworks such as PyTorch.
• Experience with autonomous industrial vehicles, including AGVs, AMRs, autonomous forklifts, or tuggers.
• Experience optimizing and deploying models on embedded or GPU platforms such as CUDA and TensorRT.
• Experience with ROS or ROS 2 and perception libraries including OpenCV, PCL, Eigen, or Ceres.
• Research contributions such as patents, white papers, or peer-reviewed publications.

Culture & Benefits

• Full-time salaried employment in a fast-paced startup environment.
• Medical, dental, vision, accident, critical illness, hospital indemnity, life, disability, HSA, FSA, and employee assistance benefits.
• Company 401(k), flexible PTO, paid parental leave, commuter benefits, and health concierge support.
• Daily lunches and a stocked kitchen for in-office employees.
• Equal opportunity employment and disability accommodation during the application or interview process.