Perception Software Engineer

Kodiak Robotics Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous 2024 Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop test and deploy autonomous capabilities for the U.S. Department of Defense.

We are seeking a hands-on Perception Software Engineer to join the Perception this role you will use your expertise to shape the perception stack as we scale incorporating and developing state of the art algorithms and techniques. Youll leverage advanced Artificial Intelligence (AI) and Machine Learning (ML) models and techniques to deploy and scale safe autonomous perception systems.

In this role you will:

• Design develop and optimize perception and machine learning (ML) systems for autonomous trucking applications.
• Implement and evaluate real-time perception algorithms for 3D object detection tracking and scene understanding using multimodal sensor data (LiDAR camera and radar).
• Develop new deep learning architectures to enhance perception model accuracy and reliability under diverse driving conditions.
• Integrate perception models into real-time autonomous driving stacks and deploy models to production systems running on autonomous trucks.
• Lead development of offboard and onboard perception pipelines including association evaluators auto labeling frameworks and ground estimation networks.
• Design and implement large-scale evaluation tools for tracking and association improving error diagnosis and reducing false positive braking events.
• Conduct model optimization for real-time inference using TensorRT and ONNX and implement efficient multi-threaded data processing in C for perception modules.
• Collaborate cross-functionally with planning safety and simulation teams to improve pedestrian safety cases and vehicle behavior around vulnerable road users.
• Design and execute experiments to analyze perception failures build evaluation suites and refine MLdriven improvements to perception performance.

What youll bring:

• Master of Science degree in Robotic Systems Development Robotics Engineering Mechatronics Engineering Computer Science or a closely related field.
• At least ONE (1) year of experience in the job offered or at least ONE (1) year of experience in the following:

1. Computer Vision & Deep Learning
2. Designing and implementing image segmentation ML architectures
3. Image preprocessing and augmentation
4. Python and ML libraries including TensorFlow Keras OpenCV Scikit-image NumPy and SciPy
5. Train and optimize ML models including hyperparameter tuning dropout scheduling loss weighting and evaluation metrics
6. TensorBoard

What we offer:

• Competitive compensation package including equity and annual bonuses
• Annual salary: $187741.00-198000.00 per year. Total compensation at Kodiak includes base pay equity bonus and a competitive benefits package.
• Excellent Medical Dental and Vision plans through Kaiser Permanente Cigna and MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services Identity & Fraud Protection Hospital Indemnity Insurance Accident Insurance & Critical Illness Insurance
• Flexible PTO 10 paid holidays and generous parental leave policies
• Our office is centrally located in Mountain View CA
• Office perks: dog-friendly free catered lunch a fully stocked kitchen and free EV charging
• Long Term Disability Short Term Disability Life Insurance
• Wellbeing Benefits - Headspace through Cigna Calm through Kaiser One Medical Gympass Spring Health through Cigna Rula (mental health navigation)
• Fidelity 401(k)
• Commuter FSA Dependent Care FSA HSA
• Various incentive programs (referral bonuses patent bonuses etc.)